How memory works

Neurogenesis

Older news items (pre-2010) brought over from the old website

Neurogenesis improved in Alzheimer mice

Studies of adult neurogenesis in genetically engineered mice have revealed two main reasons why amyloid-beta peptides and apolipoprotein E4 impair neurogenesis, and identified drug treatments that can fix it. The findings point to a deficit in GABAergic neurotransmission or an imbalance between GABAergic and glutamatergic neurotransmission as an important contributor to impaired neurogenesis in Alzheimer’s. While stem cell therapy for Alzheimer’s is still a long way off, these findings are a big step toward that goal.

Gang Li et al. 2009. GABAergic Interneuron Dysfunction Impairs Hippocampal Neurogenesis in Adult Apolipoprotein E4 Knockin Mice. Cell Stem Cell, 5 (6), 634-645.

Binggui Sun et al. 2009. Imbalance between GABAergic and Glutamatergic Transmission Impairs Adult Neurogenesis in an Animal Model of Alzheimer's Disease. Cell Stem Cell, 5 (6), 624-633.

http://www.eurekalert.org/pub_releases/2009-12/gi-gsi113009.php

Mouse study points to possible treatment for chemobrain

A mouse study has found that four commonly used chemotherapy drugs disrupt neurogenesis, and that the condition could be partially reversed with the growth hormone IGF-1. Surprising the researchers, both the drugs which cross the blood-brain barrier (cyclophosphamide and fluorouracil) and the two that don’t (paclitaxel and doxorubicin) reduced neurogenesis, with fluorouracil producing a 15.4% reduction, compared to 22.4% with doxorubicin, 30.5% with cyclophosphamide, 36% with paclitaxel. A second study of a single high dose of cyclophosphamide, a mainstay of breast cancer treatment, resulted in a 40.9% reduction. Administration of the experimental growth hormone IGF-1 helped in all cases, but was more effective with the high dose.

[1472] Janelsins, M. C., Roscoe J. A., Michel J. Berg, Thompson B. D., Gallagher M. J., Morrow G. R., et al.
(2009).  IGF-1 Partially Restores Chemotherapy-Induced Reductions in Neural Cell Proliferation in Adult C57BL/6 Mice.
Cancer Investigation.

http://www.eurekalert.org/pub_releases/2009-12/uorm-usr121709.php

Nerve-cell transplants help brain-damaged rats recover lost ability to learn

After destroying neurons in the subiculum of 48 adult rats, some were given hippocampal cells taken from newborn transgenic mice. On spatial memory tests two months later, the rats given cell transplants performed as well as rats which had not had their subiculums damaged; however, those without transplants had significantly impaired performance. The new cells were found to have mainly settled in the dentate gyrus, where they appeared to promote the secretion of two types of growth factors, namely BDNF and basic fibroblast growth factor (bFGF).

Rekha, J. et al. 2009. Transplantation of hippocampal cell lines restore spatial learning in rats with ventral subicular lesions. Behavioral Neuroscience, 123(6), 1197-1217.

http://www.eurekalert.org/pub_releases/2009-12/apa-nth120909.php

Adult neurogenesis important for discriminating things that are close

A mouse study adds to our understanding of the role of adult neurogenesis — the birth of new brain cells in adults. Mice whose ability to grow new brain cells in the dentate gyrus was removed were able to learn a new location of a food reward in an eight-armed radial maze, but only when the new location was far enough from the original location. This inability to discriminate close locations was confirmed in a touch screen experiment. Computer modeling suggested that this benefit of new neurons might also apply to temporal information, helping us distinguish events occurring closely in time.

[501] Gage, F. H., Bussey T. J., Clelland C. D., Choi M., Romberg C., Clemenson G. D., et al.
(2009).  A Functional Role for Adult Hippocampal Neurogenesis in Spatial Pattern Separation.
Science. 325(5937), 210 - 213.

http://www.eurekalert.org/pub_releases/2009-07/si-nbc070609.php

Baby neurons time-stamp new memories

Since its discovery ten years, adult neurogenesis has been a fruitful area of research, but although we know it’s important for learning and memory, we’re still a little vague on how. Now a new computational model suggests that immature cells are very excitable, easily provoked into firing, while older neurons are more discriminating. The dentate gyrus is designed to separate new memories into separate events (pattern separation), but the indiscriminate excitability of newborn neurons means they link events and memories that happen around the same time (pattern integration) instead. As the brain cells mature, they settle down and join established neural circuits, taking on their proper role, but clusters of neurons that "grew up" around the same time still retain the memories forged in their youth. Which is why independent events that have nothing in common but the fact that they occurred at the same time are connected in our minds: baby neurons have ‘time-stamped’ them.

[785] Aimone, J. B., Wiles J., & Gage F. H.
(2009).  Computational Influence of Adult Neurogenesis on Memory Encoding.
Neuron. 61(2), 187 - 202.

http://www.the-scientist.com/blog/display/55385/
http://www.eurekalert.org/pub_releases/2009-01/si-nbc012209.php

New brain cells are essential for learning

It was only a short time ago that it was accepted wisdom that new neurons were only created during childhood and that being an adult meant facing the gradual death, without replacement, of those neurons. Then, nearly a decade ago, it was discovered that adult brains could create new brain cells, albeit in a very limited way. However, it still hasn’t been clear how important adult neurogenesis is for learning and memory. Now a mouse study makes it clear that in one of the two regions in which neurogenesis takes place, it really is necessary. The study is the first to simultaneously study the two brain regions that produce new neurons, the subventricular zone and the dentate gyrus. Continual cell death was observed in the olfactory bulb, suggesting that newly born neurons (from the subventricular zone) are necessary to take their place. Neurons in the dentate gyrus, however, did not die regularly. However, when neurogenesis was knocked out in the olfactory bulb, no deficits occurred in smell memory, while the same action in the dentate gyrus did result in problems with spatial memory. The findings perhaps open up more questions than they answer — such as how odor memory is maintained when neurons in the olfactory bulb are being continuously replaced.

[1087] Kageyama, R., Imayoshi I., Sakamoto M., Ohtsuka T., Takao K., Miyakawa T., et al.
(2008).  Roles of continuous neurogenesis in the structural and functional integrity of the adult forebrain.
Nat Neurosci. 11(10), 1153 - 1161.

http://www.the-scientist.com/blog/display/54993/
http://www.newscientist.com/channel/being-human/dn14630-new-brain-cells-are-essential-for-learning.html

Injection of human umbilical cord blood helps aging brain

A rat study has found that a single intravenous injection of human umbilical cord blood mononuclear cells in aged rats significantly improved the microenvironment of the aged hippocampus and rejuvenated the aged neural stem/progenitor cells. The increase in neurogenesis seemed to be due to a decrease in inflammation. The results raise the possibility of cell therapy to rejuvenate the aged brain.

[686] Bachstetter, A., Pabon M., Cole M., Hudson C., Sanberg P., Willing A., et al.
(2008).  Peripheral injection of human umbilical cord blood stimulates neurogenesis in the aged rat brain.
BMC Neuroscience. 9(1), 22 - 22.

http://www.physorg.com/news124384387.html

REM sleep deprivation reduces neurogenesis

And in another sleep study, rats deprived of REM sleep for four days showed reduced cell proliferation in the dentate gyrus of the hippocampus, where most adult neurogenesis takes place. The finding indicates that REM sleep is important for brain plasticity.

[507] Guzman-Marin, R., Suntsova N., Bashir T., Nienhuis R., Szymusiak R., & McGinty D.
(2008).  Rapid eye movement sleep deprivation contributes to reduction of neurogenesis in the hippocampal dentate gyrus of the adult rat.
Sleep. 31(2), 167 - 175.

http://www.eurekalert.org/pub_releases/2008-02/aaos-fdo012808.php

Adult neurogenesis confirmed in primates

A study with marmosets has confirmed that the rate at which new neural cells form in the hippocampus (neurogenesis) begins to decline soon after reaching adulthood. This is the first study to confirm the finding from rodent studies in primates, and confirms that findings from rodent studies regarding ways of enhancing adult neurogenesis can be applied to primates.

[1373] Leuner, B., Kozorovitskiy Y., Gross C. G., & Gould E.
(2007).  Diminished adult neurogenesis in the marmoset brain precedes old age.
Proceedings of the National Academy of Sciences. 104(43), 17169 - 17173.

http://www.physorg.com/news111690164.html
http://www.eurekalert.org/pub_releases/2007-10/pu-bcg101207.php

Research explains how lead exposure produces learning deficits

A rat study has shown how exposure to lead during brain development produces learning deficits — by reducing neurogenesis, and by altering the normal development of newly born neurons in the hippocampus. Dendrites (branches from neurons that make the connections with other neurons) were shorter and twisted in lead-exposed rats.

[738] Verina, T., Rohde C. A., & Guilarte T. R.
(2007).  Environmental lead exposure during early life alters granule cell neurogenesis and morphology in the hippocampus of young adult rats.
Neuroscience. 145(3), 1037 - 1047.

http://www.eurekalert.org/pub_releases/2007-04/jhub-reh040307.php

New research shows why too much memory may be a bad thing

People who are able to easily and accurately recall historical dates or long-ago events may have a harder time with word recall or remembering the day's current events. A mouse study reveals why. Neurogenesis has been thought of as a wholly good thing — having more neurons is surely a good thing — but now a mouse study has found that stopping neurogenesis in the hippocampus improved working memory. Working memory is highly sensitive to interference from information previously stored in memory, so it may be that having too much information may hinder performing everyday working memory tasks.

[635] Saxe, M. D., Malleret G., Vronskaya S., Mendez I., Garcia D. A., Sofroniew M. V., et al.
(2007).  Paradoxical influence of hippocampal neurogenesis on working memory.
Proceedings of the National Academy of Sciences. 104(11), 4642 - 4646.

Full text is available at http://www.pnas.org/cgi/reprint/104/11/4642

http://www.physorg.com/news94384934.html
http://www.sciencedaily.com/releases/2007/03/070329092022.htm
http://www.eurekalert.org/pub_releases/2007-03/cumc-nrs032807.php

Sleep deprivation affects neurogenesis

A rat study has found that rats deprived of sleep for 72 hours had higher levels of the stress hormone corticosterone, and produced significantly fewer new brain cells in a particular region of the hippocampus. Preventing corticosterone levels from rising also prevented the reduction in neurogenesis.

[642] Mirescu, C., Peters J. D., Noiman L., & Gould E.
(2006).  Sleep deprivation inhibits adult neurogenesis in the hippocampus by elevating glucocorticoids.
Proceedings of the National Academy of Sciences. 103(50), 19170 - 19175.

http://news.bbc.co.uk/2/hi/health/6347043.stm

Why neurogenesis is so much less in older brains

A rat study has revealed that the aging brain produces progressively fewer new nerve cells in the hippocampus (neurogenesis) not because there are fewer of the immature cells (neural stem cells) that can give rise to new neurons, but because they divide much less often. In young rats, around a quarter of the neural stem cells were actively dividing, but only 8% of cells in middle-aged rats and 4% in old rats were. This suggests a new approach to improving learning and memory function in the elderly.

[1077] Hattiangady, B., & Shetty A. K.
(2008).  Aging does not alter the number or phenotype of putative stem/progenitor cells in the neurogenic region of the hippocampus.
Neurobiology of Aging. 29(1), 129 - 147.

http://www.eurekalert.org/pub_releases/2006-12/dumc-sca121806.php

Neurogenesis not the sole cause of enriched environment effects

The creation of new neurons in the hippocampus (adult neurogenesis) and improved cognitive function have been repeatedly found in tandem with a more stimulating environment, and it’s been assumed that the improvement in cognitive function has resulted from the neurogenesis. However, a new study has produced the startling finding that if neurogenesis is prevented, an enriched environment still produces improved spatial memory skills and less anxiety in mice. This doesn't mean adult neurogenesis plays no role, but it does indicate that neurogenesis is not the whole story.

[601] Meshi, D., Drew M. R., Saxe M., Ansorge M. S., David D., Santarelli L., et al.
(2006).  Hippocampal neurogenesis is not required for behavioral effects of environmental enrichment.
Nat Neurosci. 9(6), 729 - 731.

http://sciencenow.sciencemag.org/cgi/content/full/2006/503/1?etoc

Losing sleep inhibits neurogenesis

A new sleep study using rats restricted rather than deprived them of sleep, to mimic more closely the normal human experience. The study found that the sleep-restricted rats had a harder time remembering a path through a maze compared to their rested counterparts. The sleep-restricted rats showed reduced survival rate of new hippocampus cells — learning spatial tasks increases the production of new cells in the hippocampus. This study shows that sleep plays a part in helping those new brain cells survive. However, the sleep-restricted rats that were forced to use visual and odor cues to remember their way through the maze did better on the task than their rested counterparts, implying that some types of learning don’t require sleep.

[994] Hairston, I. S., Little M. T. M., Scanlon M. D., Barakat M. T., Palmer T. D., Sapolsky R. M., et al.
(2005).  Sleep Restriction Suppresses Neurogenesis Induced by Hippocampus-Dependent Learning.
J Neurophysiol. 94(6), 4224 - 4233.

http://www.eurekalert.org/pub_releases/2006-01/aps-lsu010506.php

Fitness counteracts cognitive decline from hormone-replacement therapy

A study of 54 postmenopausal women (aged 58 to 80) suggests that being physically fit offsets cognitive declines attributed to long-term hormone-replacement therapy. It was found that gray matter in four regions (left and right prefrontal cortex, left parahippocampal gyrus and left subgenual cortex) was progressively reduced with longer hormone treatment, with the decline beginning after more than 10 years of treatment. Therapy shorter than 10 years was associated with increased tissue volume. Higher fitness scores were also associated with greater tissue volume. Those undergoing long-term hormone therapy had more modest declines in tissue loss if their fitness level was high. Higher fitness levels were also associated with greater prefrontal white matter regions and in the genu of the corpus callosum. The findings need to be replicated with a larger sample, but are in line with animal studies finding that estrogen and exercise have similar effects: both stimulate brain-derived neurotrophic factor.

[375] Erickson, K. I., Colcombe S. J., Elavsky S., McAuley E., Korol D. L., Scalf P. E., et al.
(2007).  Interactive effects of fitness and hormone treatment on brain health in postmenopausal women.
Neurobiology of Aging. 28(2), 179 - 185.

http://www.eurekalert.org/pub_releases/2006-01/uoia-fcc012406.php

Immune function important for cognition

New research overturns previous beliefs that immune cells play no part in — and may indeed constitute a danger to — the brain. Following on from an earlier study that suggested that T cells — immune cells that recognize brain proteins — have the potential to fight off neurodegenerative conditions such as Alzheimer’s, researchers have found that neurogenesis in adult rats kept in stimulating environments requires these immune cells. A further study found that mice with these T cells performed better at some tasks than mice lacking the cells. The researchers suggest that age-related cognitive decline may be related to this, as aging is associated with a decrease in immune system function, suggesting that boosting the immune system may also benefit cognitive function in older adults.

[435] Ziv, Y., Ron N., Butovsky O., Landa G., Sudai E., Greenberg N., et al.
(2006).  Immune cells contribute to the maintenance of neurogenesis and spatial learning abilities in adulthood.
Nat Neurosci. 9(2), 268 - 275.

http://www.eurekalert.org/pub_releases/2006-01/acft-wis011106.php

How new neurons are integrated in the adult brain

Now that we accept that new neurons can indeed be created in adult brains, the question becomes: how are these new neurons integrated into existing networks? Mouse experiments have now found that a brain chemical called GABA is critical. Normally, GABA inhibits neuronal signals, but it turns out that with new neurons, GABA has a different effect: it excites them, and prepares them for integration into the adult brain. Thus a constant flood of GABA is needed initially; the flood then shifts to a more targeted pulse that gives the new neuron specific connections that communicate using GABA; finally, the neuron receives connections that communicate via another chemical, glutamate. The neuron is now ready to function as an adult neuron, and will respond to glutamate and GABA as it should. It’s hoped the discovery will help efforts to increase neuron regeneration in the brain or to make transplanted stem cells form connections more efficiently.

[237] Ge, S., Goh E. L. K., Sailor K. A., Kitabatake Y., Ming G-li., & Song H.
(2006).  GABA regulates synaptic integration of newly generated neurons in the adult brain.
Nature. 439(7076), 589 - 593.

http://www.eurekalert.org/pub_releases/2005-12/jhmi-nnt122205.php

Neuron growth in adult brain

A few years ago, we were surprised by news that new neurons could be created in the adult brain. However, it’s remained a tenet that adult neurons don’t grow — this because researchers have found no sign that any structural remodeling takes place in an adult brain. Now a mouse study using new techniques has revealed that dramatic restructuring occurs in the less-known, less-accessible inhibitory interneurons. Dendrites (the branched projections of a nerve cell that conducts electrical stimulation to the cell body) show sometimes dramatic growth, and this growth is tied to use, supporting the idea that the more we use our minds, the better they will be. The finding also offers new hope that one day it may be possible to grow new cells to replace ones damaged by disease or spinal cord injury.

Lee, W.C.A., Huang, H., Feng, G., Sanes, J.R., Brown, E.N. et al. 2006. Dynamic remodeling of dendritic arbors in GABAergic interneurons of adult visual cortex. PLoS Biol 4(2): e29.

Full text available at http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0040042

http://www.eurekalert.org/pub_releases/2005-12/miot-mrf122205.php
http://www.eurekalert.org/pub_releases/2005-12/plos-anw122205.php

More light on adult neurogenesis; implications for dementia and brain injuries

New research has demonstrated that adult mice produce multi-purpose, or progenitor, cells in the hippocampus, and indicates that the stem cells ultimately responsible for adult hippocampal neurogenesis actually reside outside the hippocampus, producing progenitor cells that migrate into the neurogenic zones and proliferate to produce new neurons and glia. The finding may help in the development of repair mechanisms for people suffering from dementia and acquired brain injury.

[977] Bull, N. D., & Bartlett P. F.
(2005).  The Adult Mouse Hippocampal Progenitor Is Neurogenic But Not a Stem Cell.
J. Neurosci.. 25(47), 10815 - 10821.

http://www.eurekalert.org/pub_releases/2005-11/ra-nrt112305.php

Wnt signaling vital for adult neurogenesis

Neurogenesis (the birth of new neurons) only occurs in adult brains in two areas: the lateral ventricle, and the dentate gyrus (in the hippocampus). New neurons are spawned from the division of stem cells — but how do they decide whether to remain a stem cell, turn into a neuron, or a support cell (an astrocyte or oligodendrocyte)? A new study has pinpointed the protein that provides a vital chemical signal that helps this decision in the hippocampus. When Wnt3 proteins were blocked in the brains of adult mice, neurogenesis decreased dramatically; when additional Wnt3 was introduced, neurogenesis increased. Wnt3 molecules are secreted by astrocytes.

[537] Dearie, A. R., Gage F. H., Lie D-C., Colamarino S. A., Song H-J., Desire L., et al.
(2005).  Wnt signalling regulates adult hippocampal neurogenesis.
Nature. 437(7063), 1370 - 1375.

http://www.eurekalert.org/pub_releases/2005-10/si-wsc102405.php

Why premature brains improve over time

A new study explains why premature babies often develop better than expected. A mouse study has found that infants born prematurely and with hypoxia (inadequate oxygen to the blood) are able to recover some cells, volume and weight in the brain after oxygen supply is restored, by a process of neurogenesis.

[1402] Fagel, D. M., Ganat Y., Silbereis J., Ebbitt T., Stewart W., Zhang H., et al.
(2006).  Cortical neurogenesis enhanced by chronic perinatal hypoxia.
Experimental Neurology. 199(1), 77 - 91.

http://www.eurekalert.org/pub_releases/2005-06/yu-gsh062705.php

One gene links neurogenesis with neurodegenerative diseases such as Alzheimer's

It used to be thought that the neurons we were born with (or created soon after birth) were all that we could ever have. Then it was discovered that certain neurons in specific brain regions, could be created in an adult brain (neurogenesis). A recent study has investigated the question of what’s different about these neurons, and to the researchers’ surprise, has discovered that replaceable neurons differed from unreplaceable neurons by having persistently low levels of a particular gene known as UCHL1. Intriguingly, UCHL1, expressed as a protein in high quantities throughout the brain, has also been identified as being deficient in degenerative diseases such as Alzheimer's and Parkinson's. Further research revealed that behavior that increases the chance of new neurons surviving is also associated with increases in the level of UCHL1 in replaceable neurons. The findings suggest that rising levels of UCHL1 may be associated with a reduced risk of neuronal death.

[336] Lombardino, A. J., Li X-C., Hertel M., & Nottebohm F.
(2005).  Replaceable neurons and neurodegenerative disease share depressed UCHL1 levels.
Proceedings of the National Academy of Sciences of the United States of America. 102(22), 8036 - 8041.

http://www.eurekalert.org/pub_releases/2005-05/ru-ogl052005.php

Social status influences brain structure

A rat study has found that dominant rats have more new nerve cells in the hippocampus than their subordinates, suggesting that social hierarchies can influence brain structure. Seven colonies of 6 rats (4 male and 2 female) established their pecking order within three days, and were tested two weeks later. The dominant males had some 30% more neurons in their dentate gyrus than both the subordinate rats and controls. The increase seems to be because the new cells constantly being born in this area of the brain (most of which usually die within a week) were surviving longer. Hippocampal neurons have already been shown to be responsive to negative factors such as stress, and positive factors such as exercise and environmental enrichment. The increase in neurons was maintained when the rats were removed from the social setting.

[372] Kozorovitskiy, Y., & Gould E.
(2004).  Dominance Hierarchy Influences Adult Neurogenesis in the Dentate Gyrus.
J. Neurosci.. 24(30), 6755 - 6759.

http://www.nature.com/news/2004/040802/full/040802-18.html

Learning involves the death of neurons too

When we think about learning at the neural level, it is always the birth of new neurons and new synaptic connections that is thought of. Now it appears that death is involved too. A recent rat study has found that while new cells are being generated in the hippocampus, other cells are dying off. The study distinguished two phases of learning during a water maze task: the first phase, when the rat learns to navigate the maze; and the second phase, when the learned behavior is refined. During the second phase, it appears, new cells are born in the dentate gyrus, while some of the cells that were born during the first phase, disappear. If true, this could be "a trimming mechanism that suppresses neurons that have not established learning-related synaptic connections."

[724] Dobrossy, M. D., Drapeau E., Aurousseau C., Le Moal M., Piazza P. V., & Abrous D. N.
(0).  Differential effects of learning on neurogenesis: learning increases or decreases the number of newly born cells depending on their birth date.
Mol Psychiatry. 8(12), 974 - 982.

http://www.eurekalert.org/pub_releases/2003-11/mp-cdp112103.php

FGF-2 implicated in adult neurogenesis

The whole question of neurogenesis (the making of new neurons) in the adult brain has been much debated – does neurogenesis happen? how does it happen? how much does it happen? Well, recent research has appeared to answer the first question – yes, neurogenesis does happen in the adult brain – and now a new study provides some clarification about the mechanism. Experiments with a special strain of laboratory-bred mice indicate that fibroblast growth factor-2 (FGF-2) is at least partly responsible for regulating the replacement of neurons, and suggest that supplementation with FGF-2 might be a beneficial strategy for those suffering traumatic brain injury, by both enhancing neurogenesis and reducing neurodegeneration.

[887] Moskowitz, M. A., Yoshimura S., Teramoto T., Whalen M. J., Irizarry M. C., Takagi Y., et al.
(2003).  FGF-2 regulates neurogenesis and degeneration in the dentate gyrus after traumatic brain injury in mice.
Journal of Clinical Investigation. 112(8), 1202 - 1210.

http://www.biomedcentral.com/news/20031016/03

Too much exercise may be bad for the brain

Mice bred for 30 generations to display increased voluntary wheel running behavior – an "exercise addiction" – showed much higher amounts of BDNF (brain-derived neurotrophic factor – a chemical involved in protecting and producing neurons in the hippocampus) than normal, sedentary mice. In a related study, it was found that the mice also grow more neurons there as well. However, while BDNF and neurogenesis are good for learning and memory, this doesn’t necessarily mean an exercise addict learns at a faster rate. The “running addict” mice in fact performed much worse than normal mice when attempting to navigate around a maze. It could be that too much BDNF and neuron production may be a bad thing, or it may be that the hyperactive wheel running exercise actually kills or damages neurons in the hippocampus, and the high BDNF production is simply trying to minimize this damage. At the moment, all we can say with surety is that exercise greatly activates the hippocampus.

[747] Johnson, R. A., Rhodes J. S., Jeffrey S. L., Garland T., & Mitchell G. S.
(2003).  Hippocampal brain-derived neurotrophic factor but not neurotrophin-3 increases more in mice selected for increased voluntary wheel running.
Neuroscience. 121(1), 1 - 7.

[504] Rhodes, J. S., van Praag H., Jeffrey S., Girard I., Mitchell G. S., Garland, Theodore J., et al.
(2003).  Exercise increases hippocampal neurogenesis to high levels but does not improve spatial learning in mice bred for increased voluntary wheel running..
Behavioral Neuroscience. 117(5), 1006 - 1016.

http://www.eurekalert.org/pub_releases/2003-09/ohs-cn092603.php

Rat studies provide more evidence on why aging can impair memory

Among aging rats, those that have difficulty navigating water mazes have no more signs of neuron damage or cell death in the hippocampus, a brain region important in memory, than do rats that navigate with little difficulty. Nor does the extent of neurogenesis (birth of new cells in an adult brain) seem to predict poorer performance. Although the researchers have found no differences in a variety of markers for postsynaptic signals between elderly rats with cognitive impairment and those without, decreases in a presynaptic signal are correlated with worse cognitive impairment. That suggests that neurons in the impaired rat brains may not be sending signals correctly.

Gallagher, M. 2002. Markers for memory decline. Paper presented at the Society for Neuroscience annual meeting in Orlando, Florida, 5 November

New neurons in adult brains are functional

Following studies indicating that new neurons are generated in the adult mammalian hippocampus, this study demonstrates that these newly generated cells do mature into functional neurons.

[590] van Praag, H., Schinder A. F., Christie B. R., Toni N., Palmer T. D., & Gage F. H.
(2002).  Functional neurogenesis in the adult hippocampus.
Nature. 415(6875), 1030 - 1034.

Living in large groups could give you a better memory

A study into the brains of songbirds found that birds living in large groups have more new neurons and probably a better memory than those living alone. Does this have relevance for humans? We don't know yet, but it has been observed that social animals such as elephants tend to have better memories than loners.

[774] Lipkind, D., Nottebohm F., Rado R., & Barnea A.
(2002).  Social change affects the survival of new neurons in the forebrain of adult songbirds.
Behavioural Brain Research. 133(1), 31 - 43.

http://www.eurekalert.org/pub_releases/2002-02/ns-lil022002.php

http://www.newscientist.com/article/mg17323312.700-the-brainy-bunch.html

New study contradicts earlier finding of new brain cell growth in the adult primate neocortex

A very exciting finding a couple of years ago, was that adult monkeys were found to be able to create new neurons in the neocortex, the most recently evolved part of the brain. However a new study, using the most sophisticated cell analysis techniques available to analyze thousands of cells in the neocortex, has found that those neurons that appear to be new are in fact two separate cells, usually one “old” neuron and one newly created cell of a different type, such as a glial cell — although new neurons were indeed found in the hippocampus and the olfactory bulb (both older parts of the brain).

[208] Kornack, D. R., & Rakic P.
(2001).  Cell Proliferation Without Neurogenesis in Adult Primate Neocortex.
Science. 294(5549), 2127 - 2130.

http://www.eurekalert.org/pub_releases/2001-12/uorm-std120601.php

BDNF

BDNF is involved in protecting and producing neurons in the hippocampus. higher levels of BDNF are associated with higher levels of neurogenesis. Neurotrophins are molecules that function in the survival, growth and migration of neurons

Nerve-cell transplants help brain-damaged rats recover lost ability to learn

After destroying neurons in the subiculum of 48 adult rats, some were given hippocampal cells taken from newborn transgenic mice. On spatial memory tests two months later, the rats given cell transplants performed as well as rats which had not had their subiculums damaged; however, those without transplants had significantly impaired performance. The new cells were found to have mainly settled in the dentate gyrus, where they appeared to promote the secretion of two types of growth factors, namely BDNF and basic fibroblast growth factor (bFGF).

Rekha, J. et al. 2009. Transplantation of hippocampal cell lines restore spatial learning in rats with ventral subicular lesions. Behavioral Neuroscience, 123(6), 1197-1217.

http://www.eurekalert.org/pub_releases/2009-12/apa-nth120909.php

Exercise may counteract bad effect of high-fat diet on memory

An animal study has investigated the interaction of diet and exercise on synaptic plasticity (an important factor in learning performance). A diet high in fat reduced levels of brain-derived neurotrophic factor (BDNF) in the hippocampus, and impaired performance on spatial learning tasks, but both of these consequences were prevented in those animals with access to voluntary wheel-running. Exercise appeared to interact with the same molecular systems disrupted by the high-fat diet.

[883] Molteni, R., Wu A., Vaynman S., Ying Z., Barnard R. J., & Gómez-Pinilla F.
(2004).  Exercise reverses the harmful effects of consumption of a high-fat diet on synaptic and behavioral plasticity associated to the action of brain-derived neurotrophic factor.
Neuroscience. 123(2), 429 - 440.

Too much exercise may be bad for the brain

Mice bred for 30 generations to display increased voluntary wheel running behavior – an "exercise addiction" – showed much higher amounts of BDNF (brain-derived neurotrophic factor – a chemical involved in protecting and producing neurons in the hippocampus) than normal, sedentary mice. In a related study, it was found that the mice also grow more neurons there as well. However, while BDNF and neurogenesis are good for learning and memory, this doesn’t necessarily mean an exercise addict learns at a faster rate. The “running addict” mice in fact performed much worse than normal mice when attempting to navigate around a maze. It could be that too much BDNF and neuron production may be a bad thing, or it may be that the hyperactive wheel running exercise actually kills or damages neurons in the hippocampus, and the high BDNF production is simply trying to minimize this damage. At the moment, all we can say with surety is that exercise greatly activates the hippocampus.

Johnson, R.A., Rhodes, J.S., Jeffrey, S.L., Garland, T. Jr., & Mitchell, G.S. 2003. Hippocampal brain-derived neurotrophic factor but not neurotrophin-3 increases more in mice selected for increased voluntary wheel running. Neuroscience, 121 (1), 1-7.

Rhodes, J.S., van Praag, H., Jeffrey, S., Girard, I., Mitchell, G.S., Garland, T. Jr., & Gage, F.H. 2003. Exercise Increases Hippocampal Neurogenesis to High Levels but Does Not Improve Spatial Learning in Mice Bredfor Increased Voluntary Wheel Running. Behavioral Neuroscience, 117 (5), 1006–1016.

http://www.eurekalert.org/pub_releases/2003-09/ohs-cn092603.php

Meal skipping protects the nerve cells of mice

Further to the study reported in January, a new mouse study suggests fasting every other day may protect brain neurons as well as or better than either vigorous exercise or caloric restriction. The mice were allowed to eat as much as they wanted on non-fasting days, and did not, overall, eat fewer calories than the control group. Their nerve cells however, proved to be more resistant to neurotoxin injury or death than nerve cells of both the calorie-restricted mice or the control group. Previous research has found that meal-skipping diets can stimulate brain cells in mice to produce a protein called brain-derived neurotrophic factor (BDNF) that promotes the survival and growth of nerve cells. The researchers are now investigating the effects of meal-skipping on the cardiovascular system in laboratory rats.

[1429] Anson, M. R., Guo Z., de Cabo R., Iyun T., Rios M., Hagepanos A., et al.
(2003).  Intermittent fasting dissociates beneficial effects of dietary restriction on glucose metabolism and neuronal resistance to injury from calorie intake.
Proceedings of the National Academy of Sciences of the United States of America. 100(10), 6216 - 6220.

http://www.eurekalert.org/pub_releases/2003-04/nioa-msh042403.php

Gene linked to poor episodic memory

Brain derived neurotrophic factor (BDNF) plays a key role in neuron growth and survival and, it now appears, memory. We inherit two copies of the BDNF gene - one from each parent - in either of two versions. Slightly more than a third inherit at least one copy of a version nicknamed "met," which the researchers have now linked to poorer memory. Those who inherit the “met” gene appear significantly worse at remembering events that have happened to them, probably as a result of the gene’s effect on hippocampal function. Most notably, those who had two copies of the “met” gene scored only 40% on a test of episodic (event) memory, while those who had two copies of the other version scored 70%. Other types of memory did not appear to be affected. It is speculated that having the “met” gene might also increase the risk of disorders such as Alzheimer’s and Parkinsons.

[1039] Dean, M., Egan M. F., Kojima M., Callicott J. H., Goldberg T. E., Kolachana B. S., et al.
(2003).  The BDNF val66met Polymorphism Affects Activity-Dependent Secretion of BDNF and Human Memory and Hippocampal Function.
Cell. 112(2), 257 - 269.

http://www.eurekalert.org/pub_releases/2003-01/niom-hga012203.php
http://news.bbc.co.uk/1/hi/health/2687267.stm

tags memworks: 

Decision-making

Older news items (pre-2010) brought over from the old website

Sleep deprivation can threaten competent decision-making

An imaging study follows research showing that sleep-deprived participants engaged in a gambling task choose higher-risk decks and exhibit reduced concern for negative consequences. The study reveals that sleep deprived adults asked to make decisions in a gambling task show higher selective activity in the nucleus accumbens (involved with the anticipation of reward), and reduced activity in the insula (involved with evaluating the emotional significance of an event). The findings help explain why we make poorer decisions when sleep deprived.

Venkatraman, V., Chuah, Y.M.L., Huettel, S.A. & Chee, M.W.L. 2007. Sleep Deprivation Elevates Expectation of Gains and Attenuates Response to Losses Following Risky Decisions. Sleep, 30 (5), 603-609.

http://www.eurekalert.org/pub_releases/2007-05/aaos-jss042507.php

Exercise improves attention and decision-making among seniors

An imaging study involving adults ranging in age from 58 to 78 before and after a six-month program of aerobic exercise, found specific functional differences in the middle-frontal and superior parietal regions of the brain that changed with improved aerobic fitness. Consistent with the functions of these brain regions, those who participated in the aerobic-exercise intervention significantly improved their performance on a computer-based decision-making task. Those doing toning and stretching exercises did increase activation in some areas of the brain but not in those tied to better performance. Their performance on the task was not significantly different after the exercise program. The aerobic exercise used in the study involved gradually increasing periods of walking over three months. For the final three months of the intervention program, each subject walked briskly for 45 minutes in three sessions each week.

Colcombe, S.J., Kramer, A.F., Erickson, K.I., Scalf, P., McAuley, E., Cohen, N.J., Webb, A., Jerome, G.J., Marquez, D.X. & Elavsky, S. 2004. Cardiovascular fitness, cortical plasticity, and aging. PNAS, 101, 3316-3321. Published online before print as 10.1073/pnas.0400266101

http://www.eurekalert.org/pub_releases/2004-02/uoia-esf021104.php

tags strategies: 

Face Recognition

Older news items (pre-2010) brought over from the old website

Children recognize other children’s faces better than adults do

It is well known that people find it easier to distinguish between the faces of people from their own race, compared to those from a different race. It is also known that adults recognize the faces of other adults better than the faces of children. This may relate to holistic processing of the face (seeing the face as a whole rather than analyzing it feature by feature) — it may be that we more easily recognize faces for which we have strong holistic ‘templates’. A new study has tested to see whether the same is true for children aged 8 to 13. The study found that children had stronger holistic processing for other children than adults did. This may reflect an own-age bias, but I’d love to see what happens with teachers, or any other adults who spend much of their time with many children.

[1358] Susilo, T., Crookes K., McKone E., & Turner H.
(2009).  The Composite Task Reveals Stronger Holistic Processing in Children than Adults for Child Faces.
PLoS ONE. 4(7), e6460 - e6460.

Full text at http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0006460
http://dsc.discovery.com/news/2009/08/18/children-faces.html

Alcoholics show abnormal brain activity when processing facial expressions

Excessive chronic drinking is known to be associated with deficits in comprehending emotional information, such as recognizing different facial expressions. Now an imaging study of abstinent long-term alcoholics has found that they show decreased and abnormal activity in the amygdala and hippocampus when looking at facial expressions. They also show increased activity in the lateral prefrontal cortex, perhaps in an attempt to compensate for the failure of the limbic areas. The finding is consistent with other studies showing alcoholics invoking additional and sometimes higher-order brain systems to accomplish a relatively simple task at normal levels. The study compared 15 abstinent long-term alcoholics and 15 healthy, nonalcoholic controls, matched on socioeconomic backgrounds, age, education, and IQ.

[1044] Marinkovic, K., Oscar-Berman M., Urban T., O'Reilly C. E., Howard J. A., Sawyer K., et al.
(2009).  Alcoholism and dampened temporal limbic activation to emotional faces.
Alcoholism, Clinical and Experimental Research. 33(11), 1880 - 1892.

http://www.eurekalert.org/pub_releases/2009-08/ace-edc080509.php
http://www.eurekalert.org/pub_releases/2009-08/bumc-rfa081109.php

More insight into encoding of identity information

Different pictures of, say, Marilyn Monroe can evoke the same mental image — even hearing or reading her name can evoke the same concept. So how exactly does that work? A study in which pictures, spoken and written names were used has revealed that single neurons in the hippocampus and surrounding areas respond selectively to representations of the same individual regardless of the sensory cue. Moreover, this occurs very quickly, not only to very familiar people — the same process was observed with the researcher’s image and name, although he was unknown to the subject a day or two earlier. It also appears that the degree of abstraction reflects the hierarchical structure within the mediotemporal lobe.

[1141] Quiroga, Q. R., Kraskov A., Koch C., & Fried I.
(2009).  Explicit Encoding of Multimodal Percepts by Single Neurons in the Human Brain.
Current Biology. 19(15), 1308 - 1313.

http://www.eurekalert.org/pub_releases/2009-07/uol-ols072009.php

Monkeys and humans use the same mechanism to recognize faces

The remarkable ability of humans to distinguish faces depends on sensitivity to unique configurations of facial features. One of the best demonstrations for this sensitivity comes from our difficulty in detecting changes in the orientation of the eyes and mouth in an inverted face — what is known as the Thatcher effect . A new study has revealed that this effect is also demonstrated among rhesus macaque monkeys, indicating that our skills in facial recognition date back 30 million years or more.

[1221] Adachi, I., Chou D. P., & Hampton R. R.
(2009).  Thatcher Effect in Monkeys Demonstrates Conservation of Face Perception across Primates.
Current Biology. 19(15), 1270 - 1273.

http://www.eurekalert.org/pub_releases/2009-06/eu-yri062309.php

Face recognition may vary more than thought

We know that "face-blindness" (prosopagnosia) may afflict as many as 2%, but until now it’s been thought that either a person has ‘normal’ face recognition skills, or they have a recognition disorder. Now for the first time a new group has been identified: those who are "super-recognizers", who have a truly remarkable ability to recognize faces, even those only seen in passing many years earlier. The finding suggests that these two abnormal groups are merely the ends of a spectrum — that face recognition ability varies widely.

[1140] Russell, R., Duchaine B., & Nakayama K.
(2009).  Super-recognizers: people with extraordinary face recognition ability.
Psychonomic Bulletin & Review. 16(2), 252 - 257.

http://www.eurekalert.org/pub_releases/2009-05/hu-we051909.php

Oxytocin improves human ability to recognize faces but not places

The breastfeeding hormone oxytocin has been found to increase social behaviors like trust. A new study has found that a single dose of an oxytocin nasal spray resulted in improved recognition memory for faces, but not for inanimate objects, suggesting that different mechanisms exist for social and nonsocial memory. Further analysis showed that oxytocin selectively improved the discrimination of new and familiar faces — participants with oxytocin were less likely to mistakenly characterize unfamiliar faces as familiar.

[897] Rimmele, U., Hediger K., Heinrichs M., & Klaver P.
(2009).  Oxytocin Makes a Face in Memory Familiar.
J. Neurosci.. 29(1), 38 - 42.

http://www.eurekalert.org/pub_releases/2009-01/sfn-hii010509.php

Insight into 'face blindness'

An imaging study has finally managed to see a physical difference in the brains of those with congenital prosopagnosia (face blindness): reduced connectivity in the region that processes faces. Specifically, a reduction in the integrity of the white matter tracts in the ventral occipito-temporal cortex, the extent of which was related to the severity of the impairment.

[1266] Thomas, C., Avidan G., Humphreys K., Jung K-jin., Gao F., & Behrmann M.
(2009).  Reduced structural connectivity in ventral visual cortex in congenital prosopagnosia.
Nat Neurosci. 12(1), 29 - 31.

http://www.eurekalert.org/pub_releases/2008-11/cmu-cms112508.php

Visual expertise marked by left-side bias

It’s been established that facial recognition involves both holistic processing (seeing the face as a whole rather than the sum of parts) and a left-side bias. The new study explores whether these effects are specific to face processing, by seeing how Chinese characters, which share many of the same features as faces, are processed by native Chinese and non-Chinese readers. It was found that non-readers tended to look at the Chinese characters more holistically, and that native Chinese readers prefer characters that are made of two left sides. These findings suggest that whether or not we use holistic processing depends on the task performed with the object and its features, and that holistic processing is not used in general visual expertise – but left-side bias is.

[1103] Hsiao, J. H., & Cottrell G. W.
(2009).  Not all visual expertise is holistic, but it may be leftist: the case of Chinese character recognition.
Psychological Science: A Journal of the American Psychological Society / APS. 20(4), 455 - 463.

http://www.physorg.com/news160145799.html

Object recognition fast and early in processing

We see through our eye and with our brain. Visual information flows from the retina through a hierarchy of visual areas in the brain until it reaches the temporal lobe, which is ultimately responsible for our visual perceptions, and also sends information back along the line, solidifying perception. This much we know, but how much processing goes on at each stage, and how important feedback is compared to ‘feedforward’, is still under exploration. A new study involving children about to undergo surgery for epilepsy (using invasive electrode techniques) reveals that feedback from the ‘smart’ temporal lobe is less important than we thought, that the brain can recognize objects under a variety of conditions very rapidly, at a very early processing stage. It appears that certain areas of the visual cortex selectively respond to specific categories of objects.

[1416] Liu, H., Agam Y., Madsen J. R., & Kreiman G.
(2009).  Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex.
Neuron. 62(2), 281 - 290.

http://www.sciencedaily.com/releases/2009/04/090429132231.htm
http://www.physorg.com/news160229380.html
http://www.eurekalert.org/pub_releases/2009-04/chb-aga042709.php

New brain region associated with face recognition

Using a new technique, researchers have found evidence for neurons that are selectively tuned for gender, ethnicity and identity cues in the cingulate gyrus, a brain area not previously associated with face processing.

[463] Ng, M., Ciaramitaro V. M., Anstis S., Boynton G. M., & Fine I.
(2006).  Selectivity for the configural cues that identify the gender, ethnicity, and identity of faces in human cortex.
Proceedings of the National Academy of Sciences. 103(51), 19552 - 19557.

http://www.sciencedaily.com/releases/2006/12/061212091823.htm

No specialized face area

Another study has come out casting doubt on the idea that there is an area of the brain specialized for faces. The fusiform gyrus has been dubbed the "fusiform face area", but a detailed imaging study has revealed that different patches of neurons respond to different images. However, twice as many of the patches are predisposed to faces versus inanimate objects (cars and abstract sculptures), and patches that respond to faces outnumber those that respond to four-legged animals by 50%. But patches that respond to the same images are not physically connected, implying a "face area" may not even exist.

[444] Grill-Spector, K., Sayres R., & Ress D.
(2007).  High-resolution imaging reveals highly selective nonface clusters in the fusiform face area.
Nat Neurosci. 10(1), 133 - 133.

http://www.sciencedaily.com/releases/2006/08/060830005949.htm

Face blindness is a common hereditary disorder

A German study has found 17 cases of the supposedly rare disorder prosopagnosia (face blindness) among 689 subjects recruited from local secondary schools and a medical school. Of the 14 subjects who consented to further interfamilial testing, all of them had at least one first degree relative who also had it. Because of the compensation strategies that sufferers learn to utilize at an early age, many of them do not realize that it is an actual disorder or even realize that other members of their family have it — which may explain why it has been thought to be so rare. The disorder is one of the few cognitive dysfunctions that has only one symptom and is inherited. It is apparently controlled by a defect in a single gene.

[1393] Kennerknecht, I., Grueter T., Welling B., Wentzek S., Horst J., Edwards S., et al.
(2006).  First report of prevalence of non-syndromic hereditary prosopagnosia (HPA).
American Journal of Medical Genetics. Part A. 140(15), 1617 - 1622.

http://www.sciencedaily.com/releases/2006/07/060707151549.htm

Nothing special about face recognition

A new study adds to a growing body of evidence that there is nothing special about face recognition. The researchers have found experimental support for their model of how a brain circuit for face recognition could work. The model shows how face recognition can occur simply from selective processing of shapes of facial features. Moreover, the model equally well accounted for the recognition of cars.

[373] Jiang, X., Rosen E., Zeffiro T., VanMeter J., Blanz V., & Riesenhuber M.
(2006).  Evaluation of a Shape-Based Model of Human Face Discrimination Using fMRI and Behavioral Techniques.
Neuron. 50(1), 159 - 172.

http://www.eurekalert.org/pub_releases/2006-04/cp-eht033106.php

Rare learning disability particularly impacts face recognition

A study of 14 children with Nonverbal Learning Disability (NLD) has found that the children were poor at recognizing faces. NLD has been associated with difficulties in visual spatial processing, but this specific deficit with faces hasn’t been identified before. NLD affects less than 1% of the population and appears to be congenital.

[577] Liddell, G. A., & Rasmussen C.
(2005).  Memory Profile of Children with Nonverbal Learning Disability.
Learning Disablilities Research & Practice. 20(3), 137 - 141.

http://www.eurekalert.org/pub_releases/2005-08/uoa-sra081005.php

Single cell recognition research finds specific neurons for concepts

An intriguing study surprises cognitive researchers by showing that individual neurons in the medial temporal lobe are able to recognize specific people and objects. It’s long been thought that concepts such as these require a network of cells, and this doesn’t deny that many cells are involved. However, this new study points to the importance of a single brain cell. The study of 8 epileptic subjects found variable responses from subjects, but within subjects, individuals showed remarkably specific responses to concepts. For example, a single neuron in the left posterior hippocampus of one subject responded to all pictures of actress Jennifer Aniston, and also to Lisa Kudrow, her co-star on the TV hit "Friends", but not to pictures of Jennifer Aniston together with actor Brad Pitt, and not, or only very weakly, to other famous and non-famous faces, landmarks, animals or objects. In another patient, pictures of actress Halle Berry activated a neuron in the right anterior hippocampus, as did a caricature of the actress, images of her in the lead role of the film "Catwoman," and a letter sequence spelling her name. The results suggest an invariant, sparse and explicit code, which might be important in the transformation of complex visual percepts into long-term and more abstract memories.

[1372] Quiroga, Q. R., Reddy L., Kreiman G., Koch C., & Fried I.
(2005).  Invariant visual representation by single neurons in the human brain.
Nature. 435(7045), 1102 - 1107.

http://www.eurekalert.org/pub_releases/2005-06/uoc--scr062005.php

Evidence faces are processed like words

It has been suggested that faces and words are recognized differently, that faces are identified by wholes, whereas words and other objects are identified by parts. However, a recent study has devised a new test, that finds people use letters to recognize words and facial features to recognize faces.

[790] Martelli, M., Majaj N. J., & Pelli D. G.
(2005).  Are faces processed like words? A diagnostic test for recognition by parts.
Journal of Vision. 5(1), 

You can read this article online at http://www.journalofvision.org//5/1/6/.

http://www.eurekalert.org/pub_releases/2005-03/afri-ssf030705.php

Face blindness runs in families

A study of those with prosopagnosia (face blindness) and their relatives has revealed a genetic basis to the neurological condition. An earlier questionnaire study by the same researcher (himself prosopagnosic) suggests the impairment may be more common than has been thought. The study involved 576 biology students. Nearly 2% reported face-blindness symptoms.

[2545] Grueter, M., Grueter T., Bell V., Horst J., Laskowski W., Sperling K., et al.
(2007).  Hereditary Prosopagnosia: the First Case Series.
Cortex. 43(6), 734 - 749.

http://www.newscientist.com/article.ns?id=dn7174

Faces must be seen to be recognized

In an interesting new perspective on face recognition, a series of perception experiments have revealed that identifying a face depends on actually seeing it, as opposed to merely having the image of the face fall on the retina. In other words, attention is necessary.

[725] Moradi, F., Koch C., & Shimojo S.
(2005).  Face Adaptation Depends on Seeing the Face.
Neuron. 45(1), 169 - 175.

http://www.eurekalert.org/pub_releases/2005-01/cp-fmb122904.php

New insight into the relationship between recognizing faces and recognizing expressions

The quest to create a computer that can recognize faces and interpret facial expressions has given new insight into how the human brain does it. A study using faces photographed with four different facial expressions (happy, angry, screaming, and neutral), with different lighting, and with and without different accessories (like sunglasses), tested how long people took to decide if two faces belonged to the same person. Another group were tested to see how fast they could identify the expressions. It was found that people were quicker to recognize faces and facial expressions that involved little muscle movement, and slower to recognize expressions that involved a lot of movement. This supports the idea that recognition of faces and recognition of facial expressions are linked – it appears, through the part of the brain that helps us understand motion.

[1288] Martínez, A. M.
(2003).  Matching expression variant faces.
Vision Research. 43(9), 1047 - 1060.

http://www.osu.edu/researchnews/archive/compvisn.htm

How the brain is wired for faces

The question of how special face recognition is — whether it is a process quite distinct from recognition of other objects, or whether we are simply highly practiced at this particular type of recognition — has been a subject of debate for some time. A new imaging study has concluded that the fusiform face area (FFA), a brain region crucially involved in face recognition, extracts configural information about faces rather than processing spatial information on the parts of faces. The study also indicated that the FFA is only involved in face recognition.

Yovel, G. & Kanwisher, N. 2004. Face Perception: Domain Specific, Not Process Specific. Neuron, 44 (5), 889–898.

http://www.eurekalert.org/pub_releases/2004-12/cp-htb112304.php

How the brain recognizes a face

Face recognition involves at least three stages. An imaging study has now localized these stages to particular regions of the brain. It was found that the inferior occipital gyrus was particularly sensitive to slight physical changes in faces. The right fusiform gyrus (RFG), appeared to be involved in making a more general appraisal of the face and compares it to the brain's database of stored memories to see if it is someone familiar. The third activated region, the anterior temporal cortex (ATC), is believed to store facts about people and is thought to be an essential part of the identifying process.

Rotshtein, P., Henson, R.N.A., Treves, A., Driver, J. & Dolan, R.J. 2005. Morphing Marilyn into Maggie dissociates physical and identity face representations in the brain. Nature Neuroscience, 8, 107-113.

http://news.bbc.co.uk/go/pr/fr/-/2/hi/health/4086319.stm

Memories of crime stories influenced by racial stereotypes

The influence of stereotypes on memory, a well-established phenomenon, has been demonstrated anew in a study concerning people's memory of news photographs. In the study, 163 college students (of whom 147 were White) examined one of four types of news stories, all about a hypothetical Black man. Two of the stories were not about crime, the third dealt with non-violent crime, while the fourth focused on violent crime. All four stories included an identical photograph of the same man. Afterwards, participants reconstructed the photograph by selecting from a series of facial features presented on a computer screen. It was found that selected features didn’t differ from the actual photograph in the non-crime conditions, but for the crime stories, more pronounced African-American features tended to be selected, particularly so for the story concerning violent crime. Participants appeared largely unaware of their associations of violent crime with the physical characteristics of African-Americans.

[675] Oliver, M B., Jackson, II R. L., Moses N. N., & Dangerfield C. L.
(2004).  The Face of Crime: Viewers' Memory of Race-Related Facial Features of Individuals Pictured in the News.
The Journal of Communication. 54(1), 88 - 104.

http://www.eurekalert.org/pub_releases/2004-05/ps-rmo050504.php

Special training may help people with autism recognize faces

People with autism tend to activate object-related brain regions when they are viewing unfamiliar faces, rather than a specific face-processing region. They also tend to focus on particular features, such as a mustache or a pair of glasses. However, a new study has found that when people with autism look at a picture of a very familiar face, such as their mother's, their brain activity is similar to that of control subjects – involving the fusiform gyrus, a region in the brain's temporal lobe that is associated with face processing, rather than the inferior temporal gyrus, an area associated with objects. Use of the fusiform gyrus in recognizing faces is a process that starts early with non-autistic people, but does take time to develop (usually complete by age 12). The study indicates that the fusiform gyrus in autistic people does have the potential to function normally, but may need special training to operate properly.

Aylward, E. 2004. Functional MRI studies of face processing in adolescents and adults with autism: Role of experience. Paper presented February 14 at the annual meeting of the American Association for the Advancement of Science in Seattle.

Dawson, G. & Webb, S. 2004. Event related potentials reveal early abnormalities in face processing autism. Paper presented February 14 at the annual meeting of the American Association for the Advancement of Science in Seattle.

http://www.eurekalert.org/pub_releases/2004-02/uow-stm020904.php

How faces become familiar

With faces, familiarity makes a huge difference. Even when pictures are high quality and faces are shown at the same time, we make a surprising number of mistakes when trying to decide if two pictures are of the same person – when the face is unknown to us. On the other hand, even when picture quality is very poor, we’re very good at recognising familiar faces. So how do faces become familiar to us? Recent research led by Vicki Bruce (well-known in this field) showed volunteers video sequences of people, episodes of unfamiliar soap operas, and images of familiar but previously unseen characters from radio's The Archers and voices from The Simpsons. They confirmed previous research suggesting that for unfamiliar faces, memory appears dominated by the 'external' features, but where the face is well-known it is 'internal' features such as the eyes, nose and mouth, that are more important. The shift to internal features occurred rapidly, within minutes. Speed of learning was unaffected by whether the faces were experienced as static or moving images, or with or without accompanying voices, but faces which belonged to well-known, though previously unseen, personal identities were learned more easily.

Bruce, V., Burton, M. et al. 2003. Getting To Know You – How We Learn New Faces. A research report funded by the Economic and Social Research Council (ESRC).

http://www.eurekalert.org/pub_releases/2003-06/esr-hs061603.php
http://www.esrc.ac.uk/esrccontent/news/june03-5.asp

Face recognition may not be a special case

Many researchers have argued that the brain processes faces quite separately from other objects — that faces are a special class. Research has shown many ways in which face recognition does seem to be a special case, but it could be argued that the differences are due not to a separate processing system, but to people’s expertise with faces. We have, after all, plenty of evidence that babies are programmed right from the beginning to pay lots of attention to faces. A new study has endeavored to answer this question, by looking at separate and concurrent perception of faces and cars, by people who were “car buffs” and those who were not. If expert processing of these objects depends on a common mechanism (presumed to be related to the perception of objects as wholes), then car perception would be expected to interfere with concurrent face perception. Moreover, such interference should get worse, as the subjects became more expert at processing cars. This is indeed what was found. Experts were found to recognize cars holistically, but this recognition interfered with their recognition of familiar faces. While novices processed the cars piece by piece, in a slower process that did not interfere with face recognition. This study follows on from earlier research in which car fanciers and bird watchers were found to identify cars and birds, respectively, using the same area of the brain as is used in face recognition. A subsequent study found that people trained to identify novel, computer-generated objects, began to recognize them holistically (as is done in face recognition). This latest study shows that, not only is experts’ car recognition occurring in the same brain region as face recognition, but that the same neural circuits are involved.

[1318] Gauthier, I., Curran T., Curby K. M., & Collins D.
(2003).  Perceptual interference supports a non-modular account of face processing.
Nat Neurosci. 6(4), 428 - 432.

http://www.eurekalert.org/pub_releases/2003-03/vu-cfe030503.php
http://www.nytimes.com/2003/03/11/health/11PERC.html

Detection of foreign faces faster than faces of your own race

A recent study tracked the time it takes for the brain to perceive the faces of people of other races as opposed to faces from the same race. The faces were mixed with images of everyday objects, and the subjects were given the distracting task of counting butterflies. The study found that the Caucasian subjects took longer to detect Caucasian faces than Asian faces. The study complements an earlier imaging study that showed that, when people are actively trying to recognize faces, they are better at recognizing members of their own race. [see Why recognizing a face is easier when the race matches our own]

[2544] Caldara, R., Thut G., Servoir P., Michel C. M., Bovet P., & Renault B.
(2003).  Face versus non-face object perception and the ‘other-race’ effect: a spatio-temporal event-related potential study.
Clinical Neurophysiology. 114(3), 515 - 528.

http://news.bmn.com/news/story?day=030108&story=1

Women better at recognizing female but not male faces

Women’s superiority in face recognition tasks appears to be due to their better recognition of female faces. There was no difference between men and women in the recognition of male faces.

[671] Lewin, C., & Herlitz A.
(2002).  Sex differences in face recognition--Women's faces make the difference.
Brain and Cognition. 50(1), 121 - 128.

Imaging confirms people knowledge processed differently

Earlier research has demonstrated that semantic knowledge for different classes of inanimate objects (e.g., tools, musical instruments, and houses) is processed in different brain regions. A new imaging study looked at knowledge about people, and found a unique pattern of brain activity was associated with person judgments, supporting the idea that person knowledge is functionally dissociable from other classes of semantic knowledge within the brain.

[766] Mitchell, J. P., Heatherton T. F., & Macrae N. C.
(2002).  Distinct neural systems subserve person and object knowledge.
Proceedings of the National Academy of Sciences of the United States of America. 99(23), 15238 - 15243.

http://www.pnas.org/cgi/content/abstract/99/23/15238?etoc

Identity memory area localized

An imaging study investigating brain activation when people were asked to answer yes or no to statements about themselves (e.g. 'I forget important things', 'I'm a good friend', 'I have a quick temper'), found consistent activation in the anterior medial prefrontal and posterior cingulate. This is consistent with lesion studies, and suggests that these areas of the cortex are involved in self-reflective thought.

[210] Johnson, S. C., Baxter L. C., Wilder L. S., Pipe J. G., Heiserman J. E., & Prigatano G. P.
(2002).  Neural correlates of self-reflection.
Brain. 125(8), 1808 - 1814.

http://brain.oupjournals.org/cgi/content/abstract/125/8/1808

Recognizing yourself is different from recognizing other people

Recognition of familiar faces occurs largely in the right side of the brain, but new research suggests that identifying your own face occurs more in the left side of your brain. Evidence for this comes from a split-brain patient (a person whose corpus callosum – the main bridge of nerve fibers between the two hemispheres of the brain - has been severed to minimize the spread of epileptic seizure activity). The finding needs to be confirmed in studies of people with intact brains, but it suggests not only that there is a distinction between recognizing your self and recognizing other people you know well, but also that memories and knowledge about oneself may be stored largely in the left hemisphere.

[1075] Turk, D. J., Heatherton T. F., Kelley W. M., Funnell M. G., Gazzaniga M. S., & Macrae N. C.
(2002).  Mike or me? Self-recognition in a split-brain patient.
Nat Neurosci. 5(9), 841 - 842.

http://www.nature.com/neurolink/v5/n9/abs/nn907.html
http://www.sciencenews.org/20020824/fob8.asp

Differential effects of encoding strategy on brain activity patterns

Encoding and recognition of unfamiliar faces in young adults were examined using PET imaging to determine whether different encoding strategies would lead to differences in brain activity. It was found that encoding activated a primarily ventral system including bilateral temporal and fusiform regions and left prefrontal cortices, whereas recognition activated a primarily dorsal set of regions including right prefrontal and parietal areas. The type of encoding strategy produced different brain activity patterns. There was no effect of encoding strategy on brain activity during recognition. The left inferior prefrontal cortex was engaged during encoding regardless of strategy.

[566] Bernstein, L. J., Beig S., Siegenthaler A. L., & Grady C. L.
(2002).  The effect of encoding strategy on the neural correlates of memory for faces.
Neuropsychologia. 40(1), 86 - 98.

http://tinyurl.com/i87v

Babies' experience with faces leads to narrowing of perception

A theory that infants' experience in viewing faces causes their brains (in particular an area of the cerebral cortex known as the fusiform gyrus) to "tune in" to the types of faces they see most often and tune out other types, has been given support from a study showing that 6-month-old babies were significantly better than both adults and 9-month-old babies in distinguishing the faces of monkeys. All groups were able to distinguish human faces from one another.

[526] Pascalis, O., de Haan M., & Nelson C. A.
(2002).  Is Face Processing Species-Specific During the First Year of Life?.
Science. 296(5571), 1321 - 1323.

http://www.eurekalert.org/pub_releases/2002-05/uom-ssi051302.php
http://news.bbc.co.uk/hi/english/health/newsid_1991000/1991705.stm
http://www.eurekalert.org/pub_releases/2002-05/aaft-bbl050902.php

Different brain regions implicated in the representation of the structure and meaning of pictured objects

Imaging studies continue apace! Having established that that part of the brain known as the fusiform gyrus is important in picture naming, a new study further refines our understanding by studying the cerebral blood flow (CBF) changes in response to a picture naming task that varied on two dimensions: familiarity (or difficulty: hard vs easy) and category (tools vs animals). Results show that although familiarity effects are present in the frontal and left lateral posterior temporal cortex, they are absent from the fusiform gyrus. The authors conclude that the fusiform gyrus processes information relating to an object's structure, rather than its meaning. The blood flows suggest that it is the left posterior middle temporal gyrus that is involved in representing the object's meaning.

[691] Whatmough, C., Chertkow H., Murtha S., & Hanratty K.
(2002).  Dissociable brain regions process object meaning and object structure during picture naming.
Neuropsychologia. 40(2), 174 - 186.

Debate over how the brain deals with visual information

Neuroscientists can't agree on whether the brain uses specific regions to distinguish specific objects, or patterns of activity from different regions. The debate over how the brain deals with visual information has been re-ignited with apparently contradictory findings from two research groups. One group has pinpointed a distinct region in the brain that responds selectively to images of the human body, while another concludes that the representations of a wide range of image categories are dealt with by overlapping brain regions. (see below)

Specific brain region responds specifically to images of the human body

Cognitive neuroscientists have identified a new area of the human brain that responds specifically when people view images of the human body. They have named this region of the brain the 'extrastriate body area' or 'EBA'. The EBA can be distinguished from other known anatomical subdivisions of the visual cortex. However, the EBA is in a region of the brain called the posterior superior temporal sulcus, where other areas have been implicated in the perception of socially relevant information such as the direction that another person's eyes are gazing, the sound of human voices, or the inferred intentions of animate entities.

Brain scan patterns identify objects being viewed

National Institute of Mental Health (NIMH) scientists have shown that they can tell what kind of object a person is looking at — a face, a house, a shoe, a chair — by the pattern of brain activity it evokes. Earlier NIMH fMRI studies had shown that brain areas that respond maximally to a particular category of object are consistent across different people. This new study finds that the full pattern of responses — not just the areas of maximal activation — is consistent within the same person for a given category of object. Overall, the pattern of fMRI responses predicted the category with 96% accuracy. Accuracy was l00% for faces, houses and scrambled pictures.

[683] Downing, P. E., Jiang Y., Shuman M., & Kanwisher N.
(2001).  A Cortical Area Selective for Visual Processing of the Human Body.
Science. 293(5539), 2470 - 2473.

[1239] Haxby, J. V., Gobbini I. M., Furey M. L., Ishai A., Schouten J. L., & Pietrini P.
(2001).  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex.
Science. 293(5539), 2425 - 2430.

http://www.eurekalert.org/pub_releases/2001-09/niom-bsp092601.php
http://www.sciencemag.org/cgi/content/abstract/293/5539/2425

Why recognizing a face is easier when the race matches our own

We have known for a while that recognizing a face is easier when its owner's race matches our own. An imaging study now shows that greater activity in the brain's expert face-discrimination area occurs when the subject is viewing faces that belong to members of the same race as their own.

Golby, A. J., Gabrieli, J. D. E., Chiao, J. Y. & Eberhardt, J. L. 2001. Differential responses in the fusiform region to same-race and other-race faces. Nature Neuroscience, 4, 845-850.

http://www.nature.com/nsu/010802/010802-1.html

Boys' and girls' brains process faces differently

Previous research has suggested a right-hemisphere superiority in face processing, as well as adult male superiority at spatial and non-verbal skills (also associated with the right hemisphere of the brain). This study looked at face recognition and the ability to read facial expressions in young, pre-pubertal boys and girls. Boys and girls were equally good at recognizing faces and identifying expressions, but boys showed significantly greater activity in the right hemisphere, while the girls' brains were more active in the left hemisphere. It is speculated that boys tend to process faces at a global level (right hemisphere), while girls process faces at a more local level (left hemisphere). This may mean that females have an advantage in reading fine details of expression. More importantly, it may be that different treatments might be appropriate for males and females in the case of brain injury.

[2541] Everhart, E. D., Shucard J. L., Quatrin T., & Shucard D. W.
(2001).  Sex-related differences in event-related potentials, face recognition, and facial affect processing in prepubertal children.
Neuropsychology. 15(3), 329 - 341.

http://www.eurekalert.org/pub_releases/2001-07/aaft-pba062801.php
http://news.bbc.co.uk/hi/english/health/newsid_1425000/1425797.stm

Children's recognition of faces

Children aged 4 to 7 were found to be able to use both configural and featural information to recognize faces. However, even when trained to proficiency on recognizing the target faces, their recognition was impaired when a superfluous hat was added to the face.

[1424] Freire, A., & Lee K.
(2001).  Face Recognition in 4- to 7-Year-Olds: Processing of Configural, Featural, and Paraphernalia Information.
Journal of Experimental Child Psychology. 80(4), 347 - 371.

Differences in face perception processing between autistic and normal adults

An imaging study compared activation patterns of adults with autism and normal control subjects during a face perception task. While autistic subjects could perform the face perception task, none of the regions supporting face processing in normals were found to be significantly active in the autistic subjects. Instead, in every autistic patient, faces maximally activated aberrant and individual-specific neural sites (e.g. frontal cortex, primary visual cortex, etc.), which was in contrast to the 100% consistency of maximal activation within the traditional fusiform face area (FFA) for every normal subject. It appears that, as compared with normal individuals, autistic individuals `see' faces utilizing different neural systems, with each patient doing so via a unique neural circuitry.

[704] Pierce, K., Muller R. - A., Ambrose J., Allen G., & Courchesne E.
(2001).  Face processing occurs outside the fusiform `face area' in autism: evidence from functional MRI.
Brain. 124(10), 2059 - 2073.

http://brain.oupjournals.org/cgi/content/abstract/124/10/2059

tags memworks: 

Spatial Memory

Older news items (pre-2010) brought over from the old website

Video games may help visuospatial processing and multitasking

Another study has come out showing that expert video gamers have improved mental rotation skills, visual and spatial memory, and multitasking skills. The researchers conclude that training with video games may serve to reduce gender differences in visual and spatial processing, and some of the cognitive declines that come with aging.

[366] Dye, M. W. G., Green S. C., & Bavelier D.
(2009).  Increasing Speed of Processing With Action Video Games.
Current Directions in Psychological Science. 18(6), 321 - 326.

http://www.eurekalert.org/pub_releases/2009-12/afps-rsa121709.php

The limited nature of the 'Mozart Effect'

The so-called ‘Mozart effect’ (which is far more limited than commonly reported in the popular press, and which argues that listening to Mozart can temporally improve spatial abilities, such as mental rotation) has been found in some studies but not in others. Now a study of 50 musicians and 50 non-musicians may explain the inconsistent results. The study found that only non-musicians had their spatial processing skills improved by listening to Mozart — partly because the musicians were better at the mental rotation task to start with. The effect may have to do with non-musicians processing music and spatial information in the right hemisphere, while musicians tend to use both hemispheres. The effect may also be restricted to right-handed non-musicians — all the participants were right-handed, and left-handed people are more likely to process information in both hemispheres. And finally, the effect may be further restricted to some types of spatial task — the present study used the same task as originally used. So, what we can say is that right-handed non-musicians may temporarily improve their mental rotation skills by listening to Mozart.

[301] Aheadi, A., Dixon P., & Glover S.
(2010).  A limiting feature of the Mozart effect: listening enhances mental rotation abilities in non-musicians but not musicians.
Psychology of Music. 38(1), 107 - 117.

http://www.miller-mccune.com/news/mozart-effect-real-for-some-1394

Meditation technique can temporarily improve visuospatial abilities

And continuing on the subject of visual short-term memory, a study involving experienced practitioners of two styles of meditation: Deity Yoga (DY) and Open Presence (OP) has found that, although meditators performed similarly to nonmeditators on two types of visuospatial tasks (mental rotation and visual memory), when they did the tasks immediately after meditating for 20 minutes (while the nonmeditators rested or did something else), practitioners of the DY style of meditation showed a dramatic improvement compared to OP practitioners and controls. In other words, although the claim that regular meditation practice can increase your short-term memory capacity was not confirmed, it does appear that some forms of meditation can temporarily (and dramatically) improve it. Since the form of meditation that had this effect was one that emphasizes visual imagery, it does support the idea that you can improve your imagery and visual memory skills (even if you do need to ‘warm up’ before the improvement is evident).

[860] Kozhevnikov, M., Louchakova O., Josipovic Z., & Motes M. A.
(2009).  The enhancement of visuospatial processing efficiency through Buddhist Deity meditation.
Psychological Science: A Journal of the American Psychological Society / APS. 20(5), 645 - 653.

http://www.sciencedaily.com/releases/2009/04/090427131315.htm
http://www.eurekalert.org/pub_releases/2009-04/afps-ssb042709.php

Why it’s so hard to disrupt your routine

New research has added to our understanding of why we find it so hard to break a routine or overcome bad habits. The problem lies in the competition between the striatum and the hippocampus. The striatum is involved with habits and routines, for example, it records cues or landmarks that lead to a familiar destination. It’s the striatum that enables you to drive familiar routes without much conscious awareness. If you’re travelling an unfamiliar route however, you need the hippocampus, which is much ‘smarter’.  The mouse study found that when the striatum was disrupted, the mice had trouble navigating using landmarks, but they were actually better at spatial learning. When the hippocampus was disrupted, the converse was true. This may help us understand, and treat, certain mental illnesses in which patients have destructive, habit-like patterns of behavior or thought. Obsessive-compulsive disorder, Tourette syndrome, and drug addiction all involve abnormal function of the striatum. Cognitive-behavioral therapy may be thought of as trying to learn to use one of these systems to overcome and, ultimately, to re-train the other.

[931] Lee, A. S., Duman R. S., & Pittenger C.
(2008).  A double dissociation revealing bidirectional competition between striatum and hippocampus during learning.
Proceedings of the National Academy of Sciences. 105(44), 17163 - 17168.

http://www.eurekalert.org/pub_releases/2008-10/yu-ce102008.php

More light shed on how episodic memories are formed

A rat study has revealed more about the workings of the hippocampus. Previous studies have identified “place cells” in the hippocampus – neurons which become more active in response to a particular spatial location. Activity in the hippocampus while rats searched for food in a maze where the starting and ending point was varied, has found that, while some cells signaled location alone, others were also sensitive to recent or impending events – i.e., activation depended upon where the rat had just been or where it intended to go. This finding helps us understand how episodic memories are formed – how, for example, a spatial location can trigger a reminder of an intended action at a particular time, but not others.

[1136] Ferbinteanu, J., & Shapiro M. L.
(2003).  Prospective and retrospective memory coding in the hippocampus.
Neuron. 40(6), 1227 - 1239.

http://www.eurekalert.org/pub_releases/2003-12/msh-ta121503.php

More learned about how spatial navigation works in humans

Researchers monitored signals from individual brain cells as patients played a computer game in which they drove around a virtual town in a taxi, searching for passengers who appeared in random locations and delivering them to their destinations. Previous research has found specific cells in the brains of rodents that respond to “place”, but until now we haven’t known whether humans have such specific cells. This study identifies place cells (primarily found in the hippocampus), as well as “view” cells (responsive to landmarks; found mainly in the parahippocampal region) and “goal” cells (responsive to goals, found throughout the frontal and temporal lobes). Some cells respond to combinations of place, view and goal — for example, cells that responded to viewing an object only when that object was a goal.

[1019] Ekstrom, A. D., Kahana M. J., Caplan J. B., Fields T. A., Isham E. A., Newman E. L., et al.
(2003).  Cellular networks underlying human spatial navigation.
Nature. 425(6954), 184 - 188.

http://www.eurekalert.org/pub_releases/2003-09/uoc--vgu091003.php

tags memworks: 

Color

Older news items (pre-2010) brought over from the old website

Which color boosts brain performance depends on task

Previous research has produced contradictory results as to which color helps memory the most: some have said blue or green; others red. A series of six experiments has found that the answer depends on the task. Red boosted performance on detail-oriented tasks such as memory retrieval and proofreading by as much as 31% compared to blue, while blue environmental cues produced significantly more creativity in such tasks as brainstorming. The effects are thought to be due to learned associations, such that red is associated with danger, mistakes and caution, while blue is associated with calm and openness. The study also found that these effects carry over to consumer packaging and advertising.

[1405] Mehta, R., & Zhu R(J).
(2009).  Blue or Red? Exploring the Effect of Color on Cognitive Task Performances.
Science. 323(5918), 1226 - 1229.

http://www.eurekalert.org/pub_releases/2009-02/uobc-cbb020409.php

Seeing red worsens test performance

Perhaps because teachers usually mark in red pen, resulting in a lot of red on a page indicating a lot of mistakes, a study has found that seeing the color red before a test results in worse performance. Although the effect isn’t huge, it does appear consistently in different contexts. In one experiment, students were given a quiz that had a number in either red or green on the corner, while in another, students saw a glimpse of red, green, or grey on the cover of an IQ test. Those who saw red got fewer answers right on average. The researchers suggest the color produces anxiety. Red is of course also associated with danger, and with stopping.

Elliot, A.J., Maier, M.A., Moller, A.C., Friedman, R. & Meinhardt, J. 2007. Color and Psychological Functioning: The Effect of Red on Performance Attainment. Journal of Experimental Psychology: General, 136(1), 154-168.

Why are uniforms uniform? Because color helps us track objects

Laboratory tests have revealed that humans can pay attention to only 3 objects at a time. Yet there are instances in the real world — for example, in watching a soccer match — when we certainly think we are paying attention to more than 3 objects. Are we wrong? No. Anew study shows how we do it — it’s all in the color coding. People can focus on more than three items at a time if those items share a common color. But, logically enough, no more than 3 color sets.

[927] Halberda, J., Sires S. F., & Feigenson L.
(2006).  Multiple spatially overlapping sets can be enumerated in parallel.
Psychological Science: A Journal of the American Psychological Society / APS. 17(7), 572 - 576.

http://www.eurekalert.org/pub_releases/2006-06/jhu-wau062106.php

Scenes in natural color remembered better than black and white

In a series of experiments, subjects were found to remember photographs of colored natural scenes significantly better than black and white images, regardless of how long they saw the images. Falsely colored natural scenes were remembered no better than scenes in black and white. If shown the images in color but tested on them in black and white (and vice versa), the images were not remembered as well. It may be that color helps by providing an extra 'tag' on the stored memory code stored.

[341] Wichmann, F. A., Sharpe L. T., & Gegenfurtner K. R.
(2002).  The Contributions of Color to Recognition Memory for Natural Scenes.
Journal of Experimental Psychology: Learning, Memory, and Cognition. 28(3), 509 - 520.

tags memworks: 

Intelligence & the brain

See also

Intelligence (research reports)

Older news items (pre-2010) brought over from the old website

Genes more important for IQ as children get older

Data from six studies carried out in the US, the UK, Australia and the Netherlands, involving a total of 11,000 pairs of twins, has revealed that genes become more important for intelligence as we get older. The researchers calculated that genes accounted for some 41% of the variation in intelligence in 9 year olds, rising to 55% in 12 year olds, and 66% in 17 year olds. It was suggested that as they get older, children get better at controlling (or perhaps are allowed to have more control over) their environment, which they do in a way that accentuates their ‘natural’ abilities — bright children feed their abilities; less bright children choose activities and friends that are less challenging.

Haworth, C.M.A. et al. 2009. The heritability of general cognitive ability increases linearly from childhood to young adulthood. Molecular Psychiatry, advance online publication 2 June 2009; doi: 10.1038/mp.2009.55

http://www.newscientist.com/article/mg20327174.600-genes-drive-iq-more-as-kids-get-older.html

A gene that influences intelligence

A study involving more than 2000 people from 200 families has found a link between the gene CHRM2, that activates multiple signaling pathways in the brain involved in learning, memory and other higher brain functions, and performance IQ. Researchers found that several variations within the CHRM2 gene (which is on chromosome 7) could be correlated with slight differences in performance IQ scores, which measure a person's visual-motor coordination, logical and sequential reasoning, spatial perception and abstract problem solving skills, and when people had more than one positive variation in the gene, the improvements in performance IQ were cumulative. Intelligence is a complex attribute that results from a combination of many genetic and environmental factors, so don’t interpret this finding to mean we’ve found a gene for intelligence.

[1173] Edenberg, H., Porjesz B., Begleiter H., Hesselbrock V., Goate A., Bierut L., et al.
(2007).  Association of CHRM2 with IQ: Converging Evidence for a Gene Influencing Intelligence.
Behavior Genetics. 37(2), 265 - 272.

http://www.eurekalert.org/pub_releases/2007-02/wuso-gag022607.php

Common gene version optimizes thinking but carries a risk

On the same subject, another study has found that the most common version of DARPP-32, a gene that shapes and controls a circuit between the striatum and prefrontal cortex, optimizes information filtering by the prefrontal cortex, thus improving working memory capacity and executive control (and thus, intelligence). However, the same version was also more prevalent among people who developed schizophrenia, suggesting that a beneficial gene variant may translate into a disadvantage if the prefrontal cortex is impaired. In other words, one of the things that make humans more intelligent as a species may also make us more vulnerable to schizophrenia.

[864] Kolachana, B., Kleinman J. E., Weinberger D. R., Meyer-Lindenberg A., Straub R. E., Lipska B. K., et al.
(2007).  Genetic evidence implicating DARPP-32 in human frontostriatal structure, function, and cognition.
Journal of Clinical Investigation. 117(3), 672 - 682.

http://www.sciencedaily.com/releases/2007/02/070208230059.htm
http://www.eurekalert.org/pub_releases/2007-02/niom-cgv020707.php

Closing in on the genes involved in human intelligence

A genetic study claims to have identified two regions of the human genome that appear to explain variation in IQ. Previous research has suggested that between 40% and 80% of variation in human intelligence (as measured by IQ tests) can be attributed to genetic factors, but research has so far failed to identify these genes. The new study has identified specific locations on Chromosomes 2 and 6 as being highly influential in determining IQ, using data from 634 sibling pairs. The region on Chromosome 2 that shows significant links to performance IQ overlaps a region associated with autism. The region on Chromosome 6 that showed strong links with both full-scale and verbal IQ marginally overlapped a region implicated in reading disability and dyslexia.

[382] Posthuma, D., Luciano M., Geus E., Wright M., Slagboom P., Montgomery G., et al.
(2005).  A Genomewide Scan for Intelligence Identifies Quantitative Trait Loci on 2q and 6p.
The American Journal of Human Genetics. 77(2), 318 - 326.

Damaged brains show regions involved in intelligence

Comparison of brain scans of 241 patients with differing degrees of cognitive impairment from events such as strokes, tumor resection, and traumatic brain injury, has correlated the location of brain injuries with scores on each of the four indices in the Wechsler Adult Intelligence Scale (WAIS), the most widely used intelligence test in the world. It was found that lesions in the left frontal cortex were associated with lower scores on the verbal comprehension index; lesions in the left frontal and parietal cortex were associated with lower scores on the working memory index; and lesions in the right parietal cortex were associated with lower scores on the perceptual organization index. A surprisingly large amount of overlap in the brain regions responsible for verbal comprehension and working memory may suggest that these two measures of cognitive ability may actually represent the same type of intelligence.

[1179] Gläscher, J., Tranel D., Paul L. K., Rudrauf D., Rorden C., Hornaday A., et al.
(2009).  Lesion Mapping of Cognitive Abilities Linked to Intelligence.
Neuron. 61(5), 681 - 691.

http://www.eurekalert.org/pub_releases/2009-03/ciot-cnm031009.php

When it comes to intelligence, size matters

The NIH MRI Study of Normal Brain Development now contains data from more than 500 children and adolescents from newborns to 18-year-olds, who had brain scans multiple times over a period of years as well as various cognitive tests. A sample of 216 healthy 6 to 18 year old brains from the dataset reveal that there is a positive link between cortical thickness and cognitive ability in many areas of the frontal, parietal, temporal and occipital lobes. The regions with the greatest relationship were the 'multi-modal association' areas, where information converges from various regions of the brain for processing. The finding supports a distributed model of intelligence.

[874] Karama, S., Ad-Dab'bagh Y., Haier R. J., Deary I. J., Lyttelton O. C., Lepage C., et al.
(Submitted).  Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds.
Intelligence. 37(2), 145 - 155.

http://www.physorg.com/news157210821.html

Processing speed component of intelligence is largely inherited

A new kind of scanner used on the brains of 23 sets of identical twins and 23 sets of fraternal twins has revealed that myelin quality is under strong genetic control in the frontal, parietal, and left occipital lobes, and that myelin quality (in the cingulum, optic radiations, superior fronto-occipital fasciculus, internal capsule, callosal isthmus, and corona radiata) was correlated with intelligence scores. Myelin governs the speed with which signals can travel along the axons of neurons, that is, how fast we can process information. The researchers are now working on finding the genes that may influence myelin growth.

[1310] de Zubicaray, G. I., Wright M. J., Srivastava A., Balov N., Thompson P. M., Chiang M-C., et al.
(2009).  Genetics of Brain Fiber Architecture and Intellectual Performance.
J. Neurosci.. 29(7), 2212 - 2224.

http://www.physorg.com/news156519927.html

Intelligence and rhythmic accuracy go hand in hand

And in another perspective on the nature of intelligence, a new study has demonstrated a correlation between general intelligence and the ability to tap out a simple regular rhythm. The correlation between high intelligence and a good ability to keep time, was also linked to a high volume of white matter in the parts of the frontal lobes involved in problem solving, planning and managing time. The finding suggests that the long-established correlation of general intelligence with the mean and variability of reaction time in elementary cognitive tasks, as well as with performance on temporal judgment and discrimination tasks, is a bottom-up connection, stemming from connectivity in the prefrontal regions.

[665] Ullen, F., Forsman L., Blom O., Karabanov A., & Madison G.
(2008).  Intelligence and Variability in a Simple Timing Task Share Neural Substrates in the Prefrontal White Matter.
J. Neurosci.. 28(16), 4238 - 4243.

http://www.physorg.com/news127561553.html
http://www.eurekalert.org/pub_releases/2008-04/ki-iar041608.php

Brain network related to intelligence identified

A review of 37 imaging studies may have finally answered an age-old question: where is intelligence. Following on from recent evidence suggesting that intelligence is related to how well information travels throughout the brain, the researchers believe they have identified the stations along the routes intelligent information processing takes. These stations primarily involve areas in the frontal and the parietal lobes, many of which are involved in attention and memory, and more complex functions such as language. Basically, the researchers theorize that your level of intelligence is a function of how well these areas communicate with each other. It’s particularly interesting to note that these various imaging studies had remarkably consistent results despite the different definitions of intelligence used in them.

[1015] Jung, R. E., & Haier R. J.
(2007).  The Parieto-Frontal Integration Theory (P-FIT) of Intelligence: Converging Neuroimaging Evidence.
Behavioral and Brain Sciences. 30(02), 135 - 154.

http://www.physorg.com/news108722746.html
http://www.eurekalert.org/pub_releases/2007-09/uoc--bnr091007.php
http://www.livescience.com/health/070911_intel_network.html

Intelligence based on the volume of gray matter in certain brain regions

Confirming earlier suggestions, the most comprehensive structural brain-scan study of intelligence to date supports an association between general intelligence and the volume of gray matter tissue in certain regions of the brain. Because these regions are located throughout the brain, a single "intelligence center" is unlikely. It is likely that a person's mental strengths and weaknesses depend in large part on the individual pattern of gray matter across his or her brain. Although gray matter amounts are vital to intelligence levels, only about 6% of the brain’s gray matter appears related to IQ — intelligence seems related to an efficient use of relatively few structures. The structures that are important for intelligence are the same ones implicated in memory, attention and language. There are also age differences: in middle age, more of the frontal and parietal lobes are related to IQ; less frontal and more temporal areas are related to IQ in the younger adults. Previous research has shown the regional distribution of gray matter in humans is highly heritable. The findings also challenge the recent view that intelligence may be a reflection of more subtle characteristics of the brain, such as the speed at which nerve impulses travel in the brain, or the number of neuronal connections present. It may of course be that all of these are factors.

[715] Haier, R. J., Jung R. E., Yeo R. A., Head K., & Alkire M. T.
(2004).  Structural brain variation and general intelligence.
NeuroImage. 23(1), 425 - 433.

http://www.sciencedaily.com/releases/2004/07/040720090419.htm
http://www.eurekalert.org/pub_releases/2004-07/uoc--hid071904.php

Brain size does matter, but differently for men and women

A study involving the intelligence testing of 100 neurologically normal, terminally ill volunteers, who agreed that their brains be measured after death, found that a bigger brain size is correlated with higher intelligence in certain areas, but there are differences between women and men. Verbal intelligence was clearly correlated with brain size, accounting for 36% of the verbal IQ score, for women and right-handed men — but not for left-handed men. Spatial intelligence was also correlated with brain size in women, but much less strongly, while it was not related at all to brain size in men. It may be that the size or structure of specific brain regions is related to spatial intelligence in men. Brain size decreased with age in men over the age span of 25 to 80 years, suggesting that the well-documented decline in visuospatial intelligence with age is related, at least in right-handed men, to the decrease in cerebral volume with age. However age hardly affected brain size in women.

[1029] Witelson, S. F., Beresh H., & Kigar D. L.
(2006).  Intelligence and brain size in 100 postmortem brains: sex, lateralization and age factors.
Brain: A Journal of Neurology. 129(Pt 2), 386 - 398.

http://www.sciencedaily.com/releases/2005/12/051223123116.htm

Correlation between brain volume and intelligence

An analysis of 26 previous international studies involving brain volume and intelligence has found that, on average, intelligence (as measured by standardized intelligence tests) increases with increasing brain volume. The correlation was higher for females than males, and for adults compared to children.

[925] McDaniel, M. A.
(Submitted).  Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence.
Intelligence. 33(4), 337 - 346.

A copy of the study is available at http://www.vcu.edu/uns/Releases/2005/june/McDaniel-Big%20Brain.pdf

http://www.eurekalert.org/pub_releases/2005-06/vcu-vss061705.php
http://www.vcu.edu/uns/Releases/2005/june/061705.html

IQ-related brain areas may differ in men and women

An imaging study of 48 men and women between 18 and 84 years old found that, although men and women performed equally on the IQ tests, the brain structures involved in intelligence appeared distinct. Compared with women, men had more than six times the amount of intelligence-related gray matter, while women had about nine times more white matter involved in intelligence than men did. Women also had a large proportion of their IQ-related brain matter (86% of white and 84% of gray) concentrated in the frontal lobes, while men had 90% of their IQ-related gray matter distributed equally between the frontal lobes and the parietal lobes, and 82% of their IQ-related white matter in the temporal lobes. The implications of all this are not clear, but it is worth noting that the volume of gray matter can increase with learning, and is thus a product of environment as well as genes. The findings also demonstrate that no single neuroanatomical structure determines general intelligence and that different types of brain designs are capable of producing equivalent intellectual performance.

[938] Haier, R. J., Jung R. E., Yeo R. A., Head K., & Alkire M. T.
(2005).  The neuroanatomy of general intelligence: sex matters.
NeuroImage. 25(1), 320 - 327.

http://www.eurekalert.org/pub_releases/2005-01/uoc--iim012005.php
http://www.sciencedaily.com/releases/2005/01/050121100142.htm

Individual primates display variation in general intelligence

Research into cognition of non-human animals has been concerned almost entirely with the abilities of the species, not with individual variation within a species. Now a study of 22 cotton-top tamarins has revealed that these monkeys, like humans, also display substantial individual variation on tests of broad cognitive ability, although the degree of variation does seem significantly smaller than it is among humans (individual variability accounted for some 20% of the monkey’s performance, while it accounts for some 40-60% of human’s performance on IQ tasks). It may be that greater variability has been an important factor in human brain evolution.

[781] Banerjee, K., Chabris C. F., Johnson V. E., Lee J. J., Tsao F., & Hauser M. D.
(2009).  General Intelligence in Another Primate: Individual Differences across Cognitive Task Performance in a New World Monkey (Saguinus oedipus).
PLoS ONE. 4(6), e5883 - e5883.

Full text available at http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0005883

http://www.eurekalert.org/pub_releases/2009-06/hu-ipd061209.php

Bigger is smarter: brain size predicts intelligence in different species

Animals with larger body sizes generally have larger brains, and it has generally been assumed that larger animals require larger nervous systems to coordinate their larger bodies. Consequently, comparison of brain size across different animal species, as an indirect measurement of intelligence, have controlled for body size. New research however suggests that, although some correction is probably needed, completely controlling for body size is almost certainly a mistake. Both overall brain size and overall neocortex size proved to be good predictors of intelligence in different primate species.

[998] Deaner, R. O., Isler K., Burkart J., & van Schaik C.
(2007).  Overall Brain Size, and Not Encephalization Quotient, Best Predicts Cognitive Ability across Non-Human Primates.
Brain, Behavior and Evolution. 70(2), 115 - 124.

http://www.sciencedaily.com/releases/2007/05/070518172103.htm

Size of brain areas does matter — but bigger isn't necessarily better

In a fascinating mouse study that overturns our simplistic notion that, when it comes to the brain, bigger is better, researchers have found that there is an optimal size for regions within the brain. The study found that if areas of the cortex involved in body sensations and motor control are either smaller or larger than normal, mice couldn’t run an obstacle course, keep from falling off a rotating rod, or perform other tactile and motor behaviors that require balance and coordination as well as mice with normal-sized areas could. It now seems that the best size in one that is best tuned to the context of the neural system within which that area functions — which is not really so surprising when you consider that every brain region acts as part of a network, in conjunction with other regions. This study builds upon a previous discovery by the same researchers, that a gene controls how the cortex in mice is divided during embryonic development into its functionally specialized areas. Different levels of the protein expressed by this gene changes the size of the sensorimotor areas of the cortex. It is known that significant variability in cortical area size exists in humans, and this may explain at least in part variability in human performance.

[334] Leingärtner, A., Thuret S., Kroll T. T., Chou S-J., Leasure L. J., Gage F. H., et al.
(2007).  Cortical area size dictates performance at modality-specific behaviors.
Proceedings of the National Academy of Sciences. 104(10), 4153 - 4158.

Full text is available at http://tinyurl.com/2tpyhe

http://www.physorg.com/news92051236.html

Bigger brains associated with domain-general intelligence

Analysis of hundreds of studies testing the cognitive abilities of non-human primates provides support for a general intelligence, and confirms that the great apes are more intelligent than monkeys and prosimians. Individual studies have always been criticized for not clearly ensuring that one species wasn’t out-performing another simply because the particular testing situation was more suited to them. However, by looking at so many varied tests, the researchers have overcome this criticism. Although there were a few cases where one species performed better than another one in one task and reversed places in a different task, overall, some species truly outperformed others. The smartest species were clearly the great apes — orangutans, chimpanzees, and gorillas. Moreover, there was no evidence that any species performed especially well within a particular paradigm, contradicting the theory that species differences in intelligence only exist for narrow, specialized skills. Instead, the results argue that some species possess a broad, domain-general type of intelligence that allows them to succeed in a variety of situations.

Deaner, R.O., van Schaik, C.P. & Johnson, V. 2006. Do some taxa have better domain-general cognition than others? A meta-analysis of nonhuman primate studies. Evolutionary Psychology, 4, 149-196.

Full-text available at http://human-nature.com/ep/downloads/ep04149196.pdf

http://www.sciencedaily.com/releases/2006/08/060801231359.htm

tags memworks: 

Hearing

Older news items (pre-2010) brought over from the old website

Music training helps you hear better in noisy rooms

I’ve often talked about the benefits of musical training for cognition, but here’s a totally new benefit. A study involving 31 younger adults (19-32) with normal hearing has found that musicians (at least 10 years of music experience; music training before age 7; practicing more than 3 times weekly within previous 3 years) were significantly better at hearing and repeating sentences in increasingly noisy conditions, than the non-musicians. The number of years of music practice also correlated positively with better working memory and better tone discrimination ability. Hearing speech in noisy environments is of course difficult for everyone, but particularly for older adults, who are likely to have hearing and memory loss, and for poor readers.

[960] Parbery-Clark, A., Skoe E., Lam C., & Kraus N.
(2009).  Musician enhancement for speech-in-noise.
Ear and Hearing. 30(6), 653 - 661.

http://www.eurekalert.org/pub_releases/2009-08/nu-tum081709.php

Why it's hard to hear in a crowded room

New research helps explain why it’s difficult for those with impaired hearing to hear conversation involving several different people, particularly in a busy setting such as a restaurant or at a party. It appears that as you attend to a continuous auditory stream (such as one person speaking from one location), your attention gets refined and improved over time. However, if that person gets changing location, or if you have to focus on more than one speaker, then degradation occurs as attention gets switched and begins the process of building up performance again. It’s speculated that the same sort of attentional selectivity may occur with objects in a complex visual scene (think of “Where’s Wally”).

[1148] Best, V., Ozmeral E. J., Kopco N., & Shinn-Cunningham B. G.
(2008).  Object continuity enhances selective auditory attention.
Proceedings of the National Academy of Sciences. 105(35), 13174 - 13178.

http://www.eurekalert.org/pub_releases/2008-08/bu-mta082108.php

Memory impairment associated with sound processing disorder

Central auditory processing dysfunction refers to the situation where hearing in quiet settings is normal or near normal but is substantially impaired in the presence of competing noise or in other difficult listening situations. Such a problem is not helped by amplification and requires alternative rehabilitation strategies. Central auditory processing has been found to be impaired in those with dementia. Now a study comparing individuals with dementia, those with mild memory impairment but without a dementia diagnosis, and those without memory loss, has found that scores on central auditory processing tests were significantly lower in both the group with dementia and in the group with mild memory impairment, compared to controls.

[302] Gates, G. A., Anderson M. L., Feeney P. M., McCurry S. M., & Larson E. B.
(2008).  Central auditory dysfunction in older persons with memory impairment or Alzheimer dementia.
Archives of Otolaryngology--Head & Neck Surgery. 134(7), 771 - 777.

http://www.eurekalert.org/pub_releases/2008-07/jaaj-mia071708.php

Hearing loss in older adults may compromise cognitive resources for memory

A study involving older adults with good hearing and a group with mild-to-moderate hearing loss has found that even when older adults could hear words well enough to repeat them, their ability to memorize and remember these words was poorer in comparison to other individuals of the same age with good hearing. The researchers suggest that the effect of expending extra effort comprehending words means there are fewer cognitive resources for higher level comprehension. Working memory capacity tends to diminish as we age.

[394] Wingfield, A., Tun P. A., & McCoy S. L.
(2005).  Hearing Loss in Older Adulthood.
Current Directions in Psychological Science. 14(3), 144 - 148.

http://www.eurekalert.org/pub_releases/2005-08/bu-hli082905.php

tags memworks: 

Smell

Older news items (pre-2010) brought over from the old website

Why smells can be so memorable

Confirming the common experience of the strength with which certain smells can evoke emotions or memories, an imaging study has found that, when people were presented with a visual object together with one, and later with a second, set of pleasant and unpleasant odors and sounds, then presented with the same objects a week later, there was unique activation in particular brain regions in the case of their first olfactory (but not auditory) associations. This unique signature existed in the hippocampus regardless of how strong the memory was — that is, it was specific to olfactory associations. Regardless of whether they were smelled or heard, people remembered early associations more clearly when they were unpleasant.

[2543] Yeshurun, Y., Lapid H., Dudai Y., & Sobel N.
(2009).  The Privileged Brain Representation of First Olfactory Associations.
Current Biology. 19, 1869 - 1874.

http://www.physorg.com/news176649240.html

Difficulty identifying odors may predict cognitive decline

Older adults who have difficulty identifying common odors may have a greater risk of developing mild cognitive impairment, increasingly recognized as a precursor to Alzheimer’s disease.  A study of nearly 600 older adults (average age 79.9) found that 30.1% developed mild cognitive impairment over the five-year period of the study. Risk of developing mild cognitive impairment was greater for those who scored worse on an odor identification test given at the start of the study. For example, those who scored below average (eight) were 50% more likely to develop MCI than those who scored above average (11). This association did not change when stroke, smoking habits or other factors that might influence smell or cognitive ability were considered. Impaired odor identification was also associated with lower cognitive scores at the beginning of the study and with a more rapid decline in episodic memory (memory of past experiences), semantic memory (memory of words and symbols) and perceptual speed. The odor test involved identifying 12 familiar odors given four possible alternatives to choose from.

[1130] Wilson, R. S., Schneider J. A., Arnold S. E., Tang Y., Boyle P. A., & Bennett D. A.
(2007).  Olfactory Identification and Incidence of Mild Cognitive Impairment in Older Age.
Arch Gen Psychiatry. 64(7), 802 - 808.

http://www.eurekalert.org/pub_releases/2007-07/jaaj-dio062807.php

Odor can help memory, in some circumstances

A study in which students played a computer version of a common memory game in which you turn over pairs of cards to find each one's match found that those who played in a rose-scented room and were later exposed to the same scent during slow-wave sleep, remembered the locations of the cards significantly better than people who didn't have that experience (97% vs 86%). Those exposed to the odor during REM sleep, however, saw no memory boost. Imaging revealed the hippocampus was activated when the odor was presented during slow-wave sleep. Having the smell available throughout sleep wouldn’t help, however, because we adapt to smells very quickly. Being exposed to the smell when being tested didn’t help either. Nor did experiencing the odor during slow-wave sleep help when the memory task involved a different type of memory — learning a finger-tapping sequence — probably because procedural memory doesn’t depend on the hippocampus.

[1206] Rasch, B., Buchel C., Gais S., & Born J.
(2007).  Odor Cues During Slow-Wave Sleep Prompt Declarative Memory Consolidation.
Science. 315(5817), 1426 - 1429.

http://www.physorg.com/news92647884.html
http://www.nature.com/news/2007/070305/full/070305-10.html

Scent of fear impacts cognitive performance

A study involving 75 female students found that those who were exposed to chemicals from fear-induced sweat performed more accurately on word-association tasks than did women exposed to chemicals from other types of sweat or no sweat at all. When processing meaningfully related word pairs, the participants exposed to the fear chemicals were significantly more accurate than those in either the neutral sweat or the control (no-sweat) condition. When processing word pairs that were ambiguous in threat content, such as one neutral word paired with a threatening word or a pair of neutral words, subjects in the fear condition were significantly slower in responding than those in the neutral sweat condition.

Chen, D., Katdare, A. & Lucas, N. 2006. Chemosignals of Fear Enhance Cognitive Performance in Humans. Chemical Senses, Advance Access published on March 9, 2006

http://www.eurekalert.org/pub_releases/2006-03/ru-sof033106.php

Brain region involved in recalling memories from smell identified

We all know the power of smell in triggering the recall of memories. New research has found the specific area of the brain involved in this process - a section of the hippocampus called CA3. The hippocampus has long been known to play a crucial part in forming new memories. It appears that the CA3 region of the hippocampus is crucial for recalling memories from partial representations of the original stimulus.

[1060] Wilson, M. A., Tonegawa S., Nakazawa K., Quirk M. C., Chitwood R. A., Watanabe M., et al.
(2002).  Requirement for Hippocampal CA3 NMDA Receptors in Associative Memory Recall.
Science. 297(5579), 211 - 218.

http://www.eurekalert.org/pub_releases/2002-05/bcom-tr052902.php
http://news.bbc.co.uk/hi/english/health/newsid_2017000/2017321.stm

tags memworks: 

Brain Evolution

Older news items (pre-2010) brought over from the old website

Humans aren’t the only ones to think about what they know

As we get smarter about designing experiments and working out how to ask the right questions, the gap between human and non-human cognition keeps closing. Now a rat study has found evidence that rats can think about whether they know something or not. The study involved offering rats rewards for classifying a brief tone as either short or long. A right answer led to a large food reward; a wrong one, nothing. But on some tests runs, before starting, the rats were given a chance to back out of the test, in which case they got a small reward anyway. In some of the tests, the signal lengths were very different, making the discrimination very easy. But in others the difference was a lot harder to discern. In such a case, if the rats realized they couldn’t be sure of the answer, they would be better to forego the test and get the small, but guaranteed prize. Which was what was found.

[387] Foote, A. L., & Crystal J. D.
(2007).  Metacognition in the Rat.
Current Biology. 17(6), 551 - 555.

http://www.world-science.net/othernews/070308_rats.htm
http://www.eurekalert.org/pub_releases/2007-03/cp-mfw030607.php

Size of brain areas does matter -- but bigger isn't necessarily better

In a fascinating mouse study that overturns our simplistic notion that, when it comes to the brain, bigger is better, researchers have found that there is an optimal size for regions within the brain. The study found that if areas of the cortex involved in body sensations and motor control are either smaller or larger than normal, mice couldn’t run an obstacle course, keep from falling off a rotating rod, or perform other tactile and motor behaviors that require balance and coordination as well as mice with normal-sized areas could. It now seems that the best size in one that is best tuned to the context of the neural system within which that area functions — which is not really so surprising when you consider that every brain region acts as part of a network, in conjunction with other regions. This study builds upon a previous discovery by the same researchers, that a gene controls how the cortex in mice is divided during embryonic development into its functionally specialized areas. Different levels of the protein expressed by this gene changes the size of the sensorimotor areas of the cortex. It is known that significant variability in cortical area size exists in humans, and this may explain at least in part variability in human performance.

[334] Leingärtner, A., Thuret S., Kroll T. T., Chou S-J., Leasure L. J., Gage F. H., et al.
(2007).  Cortical area size dictates performance at modality-specific behaviors.
Proceedings of the National Academy of Sciences. 104(10), 4153 - 4158.

Full text is available at http://tinyurl.com/2tpyhe

http://www.physorg.com/news92051236.html

Neurons targeted by dementing illness may have evolved for complex social cognition

Special elongated nerve cells called spindle neurons, also known as Von Economo neurons (VENs), are found in two parts of the cerebral cortex known to be associated with social behavior, consciousness, and emotion (the anterior cingulate and fronto-insular cortex). They have only been found in humans and great apes, and, recently, whales. Because of this link with social behavior, and because these brain regions are targeted by frontotemporal dementia, a recent study investigated whether VENs play a role in this type of dementia that causes people to lose inhibition in social situations. Autopsies revealed that among FTD sufferers, the anterior cingulate cortex had a dramatic reduction in the number of VENs compared to controls. In contrast, Alzheimer's patients had only a small and statistically insignificant reduction.

[668] Seeley, W. W., Carlin D. A., Allman J. M., Macedo M. N., Bush C., Miller B. L., et al.
(2006).  Early frontotemporal dementia targets neurons unique to apes and humans.
Annals of Neurology. 60(6), 660 - 667.

http://sciencenow.sciencemag.org/cgi/content/full/2006/1222/1?etoc
http://www.sciencedaily.com/releases/2006/12/061222090935.htm
http://www.eurekalert.org/pub_releases/2006-12/uoc--wih122106.php

A cognitive strategy shared by human infants and our great-ape kin

There are two basic strategies for remembering the location of something: either remembering the features of the item (it was a tree, a stone, etc.), or knowing the spatial placement (left, right, middle, etc.). All animal species tested so far seem to employ both strategies, but some species (e.g. fish, rats and dogs) have a preference for locational strategies, while others (e.g. toads, chickens and children) favor those which use distinctive features. A comparison of the cognitive strategies of humans, chimpanzees, bonobos, gorillas, and orangutans, has revealed that all non-human great apes and 1-year-old human infants prefer a locational strategy, even when an object strategy would be more efficient. This suggests that the common ancestor of all great apes enacted a similar strategy preference in employing spatial memory. However, 3-year-old human children in these circumstances chose the more efficient strategy.

[1007] Haun, D. B. M., Call J., Janzen G., & Levinson S. C.
(2006).  Evolutionary Psychology of Spatial Representations in the Hominidae.
Current Biology. 16(17), 1736 - 1740.

http://www.eurekalert.org/pub_releases/2006-09/cp-acs083006.php
http://www.eurekalert.org/pub_releases/2006-09/m-hdo090606.php

Genetic variations that may be key to the evolution of the human brain

It has been thought that most genetic variations between people and between species are due to small changes in the sequence of DNA lettering, but a new idea that’s becoming popular is that the number of copies of genes is an important source of variation that may be driving evolution. Comparison of the DNA sequences of humans, chimpanzees and monkeys, has now revealed that a gene that codes for a piece of protein called DUF1220 exists in 212 copies in humans, but only 37 in chimpanzees and 30 in monkeys. Mice and rats have only one. The protein is found in the heart, spleen, skeletal muscle, and small intestine, and particularly in brain regions associated with higher cognitive function.

[643] Popesco, M. C., MacLaren E. J., Hopkins J., Dumas L., Cox M., Meltesen L., et al.
(2006).  Human Lineage-Specific Amplification, Selection, and Neuronal Expression of DUF1220 Domains.
Science. 313(5791), 1304 - 1307.

http://www.nature.com/news/2006/060828/full/060828-5.html
http://sciencenow.sciencemag.org/cgi/content/full/2006/831/4?etoc

An exploration of those 49 areas of the genome that have changed most between human and chimpanzee has revealed one area that's changed dramatically in a relatively short period of time. The gene is found only in mammals and birds, and hasn’t changed much in other animals — between a chimp and a chicken, there are only two differences in the 118 letters of DNA code that make up HAR1 (human accelerated region 1). But there are 18 differences in that one gene between human and chimp. That is a lot of change to happen in five million years. HAR1 is part of two overlapping genes -- both the rare RNA genes, not genes that code for proteins -- one of which (HAR1F) is active in nerve cells that appear early in embryonic development and play a critical role in the formation of the layered structure of the human cerebral cortex. The other also appears to be involved in cortical development.

[420] Siepel, A., Kern A. D., Dehay C., Igel H., Ares M., Vanderhaeghen P., et al.
(2006).  An RNA gene expressed during cortical development evolved rapidly in humans.
Nature. 443(7108), 167 - 172.

http://news.yahoo.com/s/ap/20060817/ap_on_sc/brain_evolution
http://www.newscientist.com/article/dn9767?DCMP=NLC-nletter&nsref=dn9767
http://www.sciencedaily.com/releases/2006/08/060817102730.htm

Avoiding predators may be the reason for our large brains

A study of predators in Africa and South America suggests a new theory for why we evolved big brains. Apparently predators prefer prey with smaller brains, suggesting that more smarts help you outwit your enemies. A popular theory has been that the complexities of being social pushed the increase in brain size, and it does seem that this is also a factor, but predation is probably behind this as well — living in a group protects against predators, because group mates help keep an eye out for danger. However, the study found that while predators did prefer less sociable prey, the strongest pattern was for predators to prefer prey with relatively small brains. The researchers suggest that the need for a larger brain was strengthened when our primate ancestors came down out of the trees, and entered a much more dangerous environment.

[1325] Shultz, S., & Dunbar R. I. M.
(2006).  Chimpanzee and felid diet composition is influenced by prey brain size.
Biology Letters. 2(4), 505 - 508.

http://www.guardian.co.uk/science/story/0,,1835615,00.html

Bigger brains associated with domain-general intelligence

Analysis of hundreds of studies testing the cognitive abilities of non-human primates provides support for a general intelligence, and confirms that the great apes are more intelligent than monkeys and prosimians. Individual studies have always been criticized for not clearly ensuring that one species wasn’t out-performing another simply because the particular testing situation was more suited to them. However, by looking at so many varied tests, the researchers have overcome this criticism. Although there were a few cases where one species performed better than another one in one task and reversed places in a different task, overall, some species truly outperformed others. The smartest species were clearly the great apes — orangutans, chimpanzees, and gorillas. Moreover, there was no evidence that any species performed especially well within a particular paradigm, contradicting the theory that species differences in intelligence only exist for narrow, specialized skills. Instead, the results argue that some species possess a broad, domain-general type of intelligence that allows them to succeed in a variety of situations.

Deaner, R.O., van Schaik, C.P. & Johnson, V. 2006. Do some taxa have better domain-general cognition than others? A meta-analysis of nonhuman primate studies. Evolutionary Psychology, 4, 149-196.

Full-text available at http://human-nature.com/ep/downloads/ep04149196.pdf

http://www.sciencedaily.com/releases/2006/08/060801231359.htm

Asymmetrical brains let fish multitask

A fish study provides support for a theory that lateralized brains allow animals to better handle multiple activities, explaining why vertebrate brains evolved to function asymmetrically. The minnow study found that nonlateralized minnows were as good as those bred to be lateralized (enabling it to favor one or other eye) at catching shrimp. However, when the minnows also had to look out for a sunfish (a minnow predator), the nonlateralized minnows took nearly twice as long to catch 10 shrimp as the lateralized fish.

[737] Dadda, M., & Bisazza A.
(2006).  Does brain asymmetry allow efficient performance of simultaneous tasks?.
Animal Behaviour. 72(3), 523 - 529.

http://sciencenow.sciencemag.org/cgi/content/full/2006/623/2?etoc

Primates take weather into account when searching for fruits

In recent times, a popular hypothesis for why primates, and especially humans, have more strongly developed cognitive skills than other mammals, is that they result from the need for complex social skills. There is quite a lot of support for this argument. But it is not the only possibility and a recent study has looked at an alternative: that it evolved to deal with ecological problems, such as foraging for food. Researchers followed a group of wild gray-cheeked mangabeys from dawn to dusk over 210 days in their natural rainforest habitat, obtaining an almost complete record of their foraging decisions in relation to their preferred food, figs. The findings are consistent with the idea that monkeys make foraging decisions on the basis of episodic ("event-based") memories of whether or not a tree previously carried fruit, combined with knowledge of recent and present weather conditions and a more generalized understanding of the relationship between temperature and solar radiation and the maturation rate of fruit and insect larvae.

[493] Janmaat, K., Byrne R., & Zuberbuhler K.
(2006).  Primates Take Weather into Account when Searching for Fruits.
Current Biology. 16(12), 1232 - 1237.

http://www.eurekalert.org/pub_releases/2006-06/cp-ptw061406.php

'Perception' gene tracked humanity's evolution

A gene thought to influence perception and susceptibility to drug dependence is expressed more readily in human beings than in other primates, and this difference coincides with the evolution of our species. The gene encodes prodynorphin, an opium-like protein implicated in the anticipation and experience of pain, social attachment and bonding, as well as learning and memory. Although the protein prodynorphin is identical in humans and chimps, in the gene's promoter sequence (that controls how much of the protein is expressed) some 10% is different (this compares to the overall 1 to 1.5% difference between human and chimpanzee genes). There is high genetic variation in the prodynorphin promoter among humans, but not among other primates. Variants have been tentatively linked to schizophrenia, cocaine addiction, and epilepsy. The report supports a growing consensus among evolutionary anthropologists that hominid divergence from the other great apes was fueled not by the origin of new genes, but by the quickening (or slowing) of the expression of existing genes.

[732] Rockman, M. V., Hahn M. W., Soranzo N., Zimprich F., Goldstein D. B., & Wray G. A.
(2005).  Ancient and Recent Positive Selection Transformed Opioid cis-Regulation in Humans.
PLoS Biol. 3(12), e387 - e387.

Full text available at http://biology.plosjournals.org/perlserv/?request=get-document&doi=10.1371/journal.pbio.0030387

http://www.eurekalert.org/pub_releases/2005-11/iu-gt111405.php

Human brains still evolving

Two genes active in the brain — Microcephalin and ASPM — have now been sequenced. Both regulate brain size. The sequencing has revealed a distinctive mutation in both genes, both of which change the protein the gene codes for. For the Microcephalin gene, the mutation is now in the brains of about 70% of humans, and half of this group carry completely identical versions of the gene, suggesting the mutation arose recently (between 60,000 and 14,000 years ago) and spread quickly through the human species due to selection pressure, rather than accumulating random changes through neutral genetic drift. The new variant of ASPM appeared in humans even more recently — somewhere between 14,000 and 500 years ago — and is already present in about a quarter of people alive today.

[381] Evans, P. D., Gilbert S. L., Mekel-Bobrov N., Vallender E. J., Anderson J. R., Vaez-Azizi L. M., et al.
(2005).  Microcephalin, a Gene Regulating Brain Size, Continues to Evolve Adaptively in Humans.
Science. 309(5741), 1717 - 1720.

[684] Mekel-Bobrov, N., Gilbert S. L., Evans P. D., Vallender E. J., Anderson J. R., Hudson R. R., et al.
(2005).  Ongoing Adaptive Evolution of ASPM, a Brain Size Determinant in Homo sapiens.
Science. 309(5741), 1720 - 1722.

http://www.newscientist.com/article.ns?id=dn7974
http://www.sciencentral.com/articles/view.htm3?article_id=218392658

New light on speech evolution in humans

A new monkey study challenges thinking that speech developed as a result of new structures that evolved in the human brain. A distinct brain region that controls jaw movements in macaque monkeys has been found in the same area and with the same anatomical characteristics as Broca's area. The discovery suggests that this area of the brain evolved originally to perform high-order control over the mouth and the jaw, and that as humans evolved this area came to control the movements necessary for speech.

[1333] Petrides, M., Cadoret G., & Mackey S.
(2005).  Orofacial somatomotor responses in the macaque monkey homologue of Broca's area.
Nature. 435(7046), 1235 - 1238.

http://www.eurekalert.org/pub_releases/2005-06/mu-nrp062905.php

Primitive brain learns faster than the "thinking" part of our brain

A study of monkeys has revealed that a primitive region of the brain known as the basal ganglia learns rules first, then “trains” the prefrontal cortex, which learns more slowly. The findings turn our thinking about how rules are learned on its head — it has been assumed that the smarter areas of our brain work things out; instead it seems that primitive brain structures might be driving even our most high-level learning.

[722] Pasupathy, A., & Miller E. K.
(2005).  Different time courses of learning-related activity in the prefrontal cortex and striatum.
Nature. 433(7028), 873 - 876.

http://web.mit.edu/newsoffice/2005/basalganglia.html

Another clue to the evolution of the human brain

A new study suggests that the birth of a gene that fueled neurotransmission may have been a key advance in the evolution of the hominoid brain. GLUD2, a gene gene involved in glutamate metabolism, is found in humans and apes, but not in Old World monkeys, indicating that the gene appeared after monkeys and hominoids went their separate ways (some 23 million years ago), but before the gibbon lineage split from humans and great apes around 18 million years ago. Over time, GLUD2 acquired two amino acid changes that increased glutamate flux, possibly enhancing cognitive function in the hominoid brain.

[1277] Burki, F., & Kaessmann H.
(2004).  Birth and adaptive evolution of a hominoid gene that supports high neurotransmitter flux.
Nat Genet. 36(10), 1061 - 1063.

http://www.biomedcentral.com/news/20040920/02

More support for social skill theory of brain evolution

Why do we have such large brains? Brains are very costly — they require a lot of energy. Gaining credence in recent years has been the idea that the advantage of our brain has been through the complex social skills it allows. Evidence supporting this has come from a study of records of primates deceiving each other for personal gain. The bigger the neocortex, it seems, the more likely a primate is to practice deception. The researchers gathered instances of deception across 18 species of primate and found no link with overall brain size, but a clear match between devious deeds and neocortex volume.

[838] Byrne, R. W., & Corp N.
(2004).  Neocortex size predicts deception rate in primates..
Proceedings of the Royal Society B: Biological Sciences. 271(1549), 1693 - 1699.

http://www.guardian.co.uk/life/dispatch/story/0,12978,1250723,00.html
http://www.newscientist.com/news/news.jsp?id=ns99996090

More complex brain may have pre-dated Homo genus

New research supports Raymond Dart’s suggestion (in 1925) that the human brain started evolving its unique characteristics much earlier than has previously been supposed. One of the differences between human and ape brains is the position of the primary visual striate cortex (PVC), an area of the brain devoted exclusively to vision. In the ape brain, this is situated further forward than it is in human brains, making the PVC larger. It has been claimed that the PVC only decreased in size once the brain had grown substantially in size – when big-brained Homo (the hominid group that includes humans) appeared around 2.4 million years ago. However, new examination of an endocast of the brain of an Australopithecus africanus (Australopithecines pre-dated Homo, and their brains were similar in size to those of chimpanzees) has found evidence of a decreased PVC. This suggests an increase in the region lying in front of the PVC - the posterior parietal cerebral cortex, which is associated in humans with a variety of complex behaviors such as the appreciation of objects and their qualities, facial recognition and social communication.

[1379] Holloway, R. L., Clarke R. J., & Tobias P. V.
(2004).  Posterior lunate sulcus in Australopithecus africanus: was Dart right?.
Comptes Rendus Palevol. 3(4), 287 - 293.

http://news.bbc.co.uk/1/hi/sci/tech/3496549.stm

Gene may be key to evolution of larger human brain

Researchers have now identified a gene that appears to have played a significant role in the expansion of the human brain's cerebral cortex. The gene is called the Abnormal Spindle-Like Microcephaly Associated (ASPM) gene, and dysfunction in this gene is linked to human microcephaly — a severe reduction in the size of the cerebral cortex. Comparison of the gene sequence in humans with that of 6 other primates (progressively less related to humans) revealed that the ASPM gene showed clear evidence of changes accelerated by evolutionary pressure in the lineage leading to humans, and the acceleration was most prominent in recent human evolution after humans diverged from chimpanzees (our closest primate relative) some five million years ago. A massive population-wide genetic change in the gene seems to have occurred in the human lineage every 300,000 to 400,000 years since then, with the last such change occurring between 200,000 and 500,000 years ago. Such strong evidence of evolutionary change is most unusual. No such change was found when other (non-primate) mammals were investigated.

[1199] Evans, P. D., Anderson J. R., Vallender E. J., Gilbert S. L., Malcom C. M., Dorus S., et al.
(2004).  Adaptive evolution of ASPM, a major determinant of cerebral cortical size in humans.
Hum. Mol. Genet.. 13(5), 489 - 494.

http://www.eurekalert.org/pub_releases/2004-01/hhmi-gmb011204.php

Evolution of the mammalian brain

Two recent studies cast light on the evolution of the mammalian brain. A study of the brains of cetaceans, has found that that the cortex of a killer whale is dramatically more “folded” than that of an Amazon River dolphin (the deep and complex folding, or gyrification, of the cortex surface is what allows the human brain to have far more informational capacity than would be expected from its mass). The whales’ brain was particularly convoluted in the area of the corpus callosum, the main “bridge” between the hemispheres. In other comparative study of mammalian brains, it was found that the larger the brain, the larger the mean diameter of the axons. Axons were also less densely packed and more heavily myelinated. Across all species studied, fast cross-brain conduction times were maintained at 1-2 milliseconds.

Research presented at the 2003 annual meeting of the Society for Neuroscience, held November 8–12 in New Orleans, LA

Human frontal cortex not proportionately larger compared to great apes

Humans are widely considered to have a disproportionately large frontal cortex compared to other animals, and the disparity in cognitive capabilities is partly attributed to this difference. However, a comparison of the relative size of the frontal cortex in humans versus other great apes reveals that human frontal cortices are not disproportionately large in comparison to those of the great apes. The authors suggest that the human advantage may be due to differences in individual cortical areas and to a richer interconnectivity, rather than an overall size difference.

[955] Semendeferi, K., Lu A., Schenker N., & Damasio H.
(2002).  Humans and great apes share a large frontal cortex.
Nat Neurosci. 5(3), 272 - 276.

http://www.nature.com/cgi-taf/DynaPage.taf?file=/neuro/journal/v5/n3/abs/nn814.html

Living in large groups could give you a better memory

A study into the brains of songbirds found that birds living in large groups have more new neurons and probably a better memory than those living alone. Does this have relevance for humans? We don't know yet, but it has been observed that social animals such as elephants tend to have better memories than loners.

[774] Lipkind, D., Nottebohm F., Rado R., & Barnea A.
(2002).  Social change affects the survival of new neurons in the forebrain of adult songbirds.
Behavioural Brain Research. 133(1), 31 - 43.

http://www.eurekalert.org/pub_releases/2002-02/ns-lil022002.htm

Manipulating a signaling protein in a developing mouse brain caused radical changes in the cortex and may provide a clue about how the cerebral cortex changes in evolution

Using a newly developed technique, University of Chicago researchers have manipulated one of the signaling proteins in the developing mouse brain and found such manipulations cause radical changes in the cortex. Fibroblast Growth Factor 8 (FGF8), a member of a family of signaling proteins involved in forming other structures in the embryo, is normally found near the front of the developing cortex. Using a new microsurgical technique, the researchers were able to manipulate the amount and position of this signaling protein in the embryo and look for changes in the cortical pattern much later. The researchers increased the amount of the signaling protein in its normal position, decreased it by inserting a gene for a receptor able to soak up the protein, or expressed it in a new position. Each manipulation profoundly affected cortical area pattern. "Most dramatic, when a new source of the signaling protein was generated close to the back of the embryonic cortex, the whole program changed." The generation of a new cortical area by a molecular manipulation has not been seen before and may provide a clue about how the cerebral cortex changes in evolution. One way that evolution seems to generate more functionally complex brains is by adding new areas to the cortex.

[498] Fukuchi-Shimogori, T., & Grove E. A.
(2001).  Neocortex Patterning by the Secreted Signaling Molecule FGF8.
Science. 294(5544), 1071 - 1074.

http://www.eurekalert.org/pub_releases/2001-09/uocm-anm091801.php

Each memory experience biases how you approach the next one

September, 2012

A new study provides evidence that our decision to encode information as new or try and retrieve it from long-term memory is affected by how we treated the last bit of information processed.

Our life-experiences contain a wealth of new and old information. The relative proportions of these change, of course, as we age. But how do we know whether we should be encoding new information or retrieving old information? It’s easy if the information is readily accessible, but what if it’s not? Bear in mind that (especially as we get older) most information / experiences we meet share some similarity to information we already have.

This question is made even more meaningful when you consider that it is the same brain region — the hippocampus — that’s involved in both encoding and retrieval, and these two processes depend (it is thought) on two quite opposite processes. While encoding is thought to rely on pattern separation (looking for differences), retrieval is thought to depend on pattern completion.

A recent study looked at what happens in the brain when people rapidly switch between encoding new objects and retrieving recently presented ones. Participants were shown 676 pictures of objects and asked to identify each one as being shown for the first time (‘new’), being repeated (‘old’), or as a modified version of something shown earlier (‘similar’). Recognizing the similar items as similar was the question of interest, as these items contain both old and new information and so the brain’s choice between encoding and retrieval is more difficult.

What they found was that participants were more likely to recognize similar items as similar (rather than old) if they had viewed a new item on the preceding trial. In other words, the experience of a new item primed them to notice novelty. Or to put it in another way: context biases the hippocampus toward either pattern completion or pattern separation.

This was supported by a further experiment, in which participants were shown both the object pictures, and also learned associations between faces and scenes. Critically, each scene was associated with two different faces. In the next learning phase, participants were taught a new scene association for one face from each pair. Each face-scene learning trial was preceded by an object recognition trial (new and old objects were shown and participants had to identify them as old or new) — critically, either a new or old object was consistently placed before a specific face-scene association. In the final test phase, participants were tested on the new face-scene associations they had just learned, as well as the indirect associations they had not been taught (that is, between the face of each pair that had not been presented during the preceding phase, and the scene associated with its partnered face).

What this found was that participants were more likely to pair indirectly related faces if those faces had been consistently preceded by old objects, rather than new ones. Moreover, they did so more quickly when the faces had been preceded by old objects rather than new ones.

This was interpreted as indicating that the preceding experience affects how well related information is integrated during encoding.

What all this suggests is that the memory activities you’ve just engaged in bias your brain toward the same sort of activities — so whether or not you notice changes to a café or instead nostalgically recall a previous meal, may depend on whether you noticed anyone you knew as you walked down the street!

An interesting speculation by the researchers is that such a memory bias (which only lasts a very brief time) might be an adaptive mechanism, reflecting the usefulness of being more sensitive to changes in new environments and less sensitive to irregularities in familiar environments.

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