Posts tagged brain structure
Articles and news from the latest research reports.
Plumes in the sleeping avian brain
When we drift into deep slow-wave sleep (SWS), waves of neuronal activity wash across our neocortex. Birds also engage in SWS, but they lack this particular brain structure. Researchers from the Max Planck Institute for Ornithology in Seewiesen, Germany together with colleagues from the Netherlands and Australia have gained deeper insight into the sleeping avian brain. They found complex 3D plumes of brain activity propagating through the brain that clearly differed from the two-dimensional activity found in mammals. These findings show that the layered neuronal organization of the neocortex is not required for waves to propagate, and raise the intriguing possibility that the 3D plumes of activity perform computations not found in mammals.
Mammals, including humans, depend upon the processing power of the neocortex to solve complex cognitive tasks. This part of the brain also plays an important role in sleep. During SWS, slow neuronal oscillations propagate across the neocortex as a traveling wave, much like sports fans performing the wave in a stadium. It is thought that this wave might be involved in coordinating the processing of information in distant brain regions. Birds have mammalian-like cognitive abilities, but yet different neuronal organization. They lack the elegant layered arrangement of neurons characteristic of the neocortex. Instead, homologous neurons are packaged in unlayered, seemingly poorly structured nuclear masses of neurons.
Researchers from the Max Planck Institute for Ornithology in Seewiesen together with colleagues from the Netherlands and Australia now investigated in female zebra finches how brain activity changed over space and time during sleep. “When we first looked at the recordings, it appeared that the slow waves were occurring simultaneously in all recording sites. However, when we visualized the data as a movie and slowed it down, a fascinating picture emerged!” says Gabriël Beckers from Utrecht University, who developed the high-resolution recording method at the Max Planck Institute for Ornithology in Seewiesen. The waves were moving across the two-dimensional recording array as rapidly changing arcs of activity. Rotating the orientation of the array by 90 degrees revealed similar patterns, and thereby established the 3D nature of the plumes propagating through the brain. The researchers found similar patterns in distant brain regions involved in processing different types of information, suggesting that this type of activity is a general feature of the sleeping avian brain.
In addition to revealing how neurons in the avian brain behave during sleep, this research also adds to our understanding of the sleeping neocortex. “Our findings demonstrate that the traveling nature of slow waves is not dependent upon the layered organization of neurons found in the neocortex, and is unlikely to be involved in functions unique to this pattern of neuronal organization,” says Niels Rattenborg, head of the Avian Sleep Group in Seewiesen. “In this respect, research on birds refines our understanding of what is and is not special about the neocortex.” Finally, the researchers wonder whether the 3D geometry of wave propagation in the avian brain reflects computational properties not found in the neocortex. While this idea is clearly speculative, the authors note that during the course of evolution, birds replaced the three-layered cortex present in their reptilian ancestors with nuclear brain structures. “Presumably, there are benefits to the seemingly disorganized, nuclear arrangement of neurons in the avian brain that we are far from understanding. Whether this relates to what we have observed in the sleeping bird brain is a wide open question,” says Rattenborg.
In Dyslexia, Less Brain Tissue Not to Blame for Reading Difficulties
In people with dyslexia, less gray matter in the brain has been linked to reading disabilities, but now new evidence suggests this is a consequence of poorer reading experiences and not the root cause of the disorder.
It has been assumed that the difference in the amount of gray matter might, in part, explain why dyslexic children have difficulties correctly and fluently mapping the sounds in words to their written counterparts during reading. But this assumption of causality has now been turned on its head.
The findings from anatomical brain studies conducted at Georgetown University Medical Center (GUMC) in the Center for the Study of Learning led by neuroscientist Guinevere Eden, DPhil, were published online today in The Journal of Neuroscience.
The study compared a group of dyslexic children with two different control groups: an age-matched group included in most previous studies, and a group of younger children who were matched at the same reading level as the children with dyslexia.
“This kind of approach allows us to control for both age as well as reading experience,” explains Eden, a professor of pediatrics at GUMC. “If the differences in brain anatomy in dyslexia were seen in comparison with both control groups, it would have suggested that reduced gray matter reflects an underlying cause of the reading deficit. But that’s not what we observed.”
The dyslexic groups showed less gray matter compared with a control group matched by age, consistent with previous findings. However, the result was not replicated when a control group matched by reading level was used as the comparison group with the dyslexics.
“This suggests that the anatomical differences reported in left hemisphere language processing regions appear to be a consequence of reading experience as opposed to a cause of dyslexia,” says Anthony Krafnick, PhD, lead author of the publication. “These results have an impact on how we interpret the previous anatomical literature on dyslexia and it suggests the use of anatomical MRI would not be a suitable way to identify children with dyslexia,” he says.
The work also helps to determine the fine line between experience-induced changes in the brain and differences that are the cause of cognitive impairment. For example, it is known from studies in illiterate people who attain reading skills as adults that this type of learning induces growth of brain matter. Similar learning-induced changes in typical readers may result in discrepancies between them and their dyslexic peers, who have not enjoyed the same reading experiences and thus have not undergone similar changes in brain structure.
Navigational ability is visible in the brain
The brains of people who immediately know their way after travelling along as a passenger are different from the brains of people who always need a GPS system or a map to get from one place to another. This was demonstrated by Joost Wegman, who will defend his thesis at Radboud University Nijmegen, the Netherlands on the 27th of November.
Wegman demonstrates that good navigators store relevant landmarks automatically on their way. Bad navigators on the other hand, often follow a fixed procedure or route (such as: turn left twice, then turn right at the statue).
Anatomical differences
Wegman also found that there are detectable structural differences between the brains of good and bad navigators. ‘These anatomical differences are not huge, but we found them significant enough, because we had a lot of data’, the researcher explains. ‘The difference is in the hippocampus. We saw that good navigators had more so-called gray matter. In the brain’s gray matter information is processed. Bad navigators, on the other hand, have more white matter - which connects gray matter areas with each other - in a brain area called the caudate nucleus. This area stores spatial actions with respect to oneself. For example, to turn right at the record store’, Wegman describes.
Questionnaires
For his research, Wegman combined data from several studies done by the Radboud University research group Neural Correlates of Spatial Memory at the Donders Institute for Brain, Cognition and Behaviour.
Wegman: ‘We always give participants extensive questionnaires in our studies. This allows us to explain possible differences in behaviour afterwards. People generally have a good insight into their ability to find their way, so these questions provide a feasible way to assess these abilities. I have coupled the answers of these questionnaires with the brain scans we have collected over the years, which allowed us to detect these differences’.
Objects in space - the neural basis of landmark-based navigation and individual differences in navigational ability (PhD defence)
Wednesday 27 November 2013, promotors: prof. dr. L.T.W. Verhoeven, prof. dr. P. Hagoort,
copromotor: dr. G. Janzen
The papers to which this article refers are both included in Joost Wegman’s thesis:
1. Wegman, J. & Janzen, G. Neural encoding of objects relevant for navigation and resting state correlations with navigational ability. Journal of Cognitive Neuroscience 23, 3841-3854 (2011).
2. Wegman, J. et al. Gray and white matter correlates of navigational ability in humans. Human Brain Mapping (in press).
Shedding new light on learning disorders
A Michigan State University researcher has discovered the first anatomical evidence that the brains of children with a nonverbal learning disability – long considered a “pseudo” diagnosis – may develop differently than the brains of other children.
The finding, published in Child Neuropsychology, could ultimately help educators and clinicians better distinguish between – and treat – children with a nonverbal learning disability, or NLVD, and those with Asperger’s, or high functioning autism, which is often confused with NLVD.
“Children with nonverbal learning disabilities and Asperger’s can look very similar, but they can have very different reasons for why they behave the way they do,” said Jodene Fine, assistant professor of school psychology in MSU’s College of Education.
Understanding the biological differences in children with learning and behavioral challenges could help lead to more appropriate intervention strategies.
Children with nonverbal learning disability tend to have normal language skills but below average math skills and difficulty solving visual puzzles. Because many of these kids also show difficulty understanding social cues, some experts have argued that NVLD is related to high functioning autism – which this latest study suggests may not be so.
Fine and Kayla Musielak, an MSU doctoral student in school psychology, studied about 150 children ages 8 to 18. Using MRI scans of the participants’ brains, the researchers found that the children diagnosed with NVLD had smaller spleniums than children with other learning disorders such as Asperger’s and ADHD, and children who had no learning disorders.
The splenium is part of the corpus callosum, a thick band of fibers in the brain that connects the left and right hemispheres and facilitates communication between the two sides. Interestingly, this posterior part of the corpus callosum serves the areas of the brain related to visual and spatial functioning.
In a second part of the study, the participants’ brain activity was analyzed after they were shown videos in an MRI that portrayed both positive and negative examples of social interaction. (A typical example of a positive event was a child opening a desired birthday present with friend; a negative event included a child being teased by other children.)
The researchers found that the brains of children with nonverbal learning disability responded differently to the social interactions than the brains of children with high functioning autism, or HFA, suggesting the neural pathways that underlie those behaviors may be different.
“So what we have is evidence of a structural difference in the brains of children with NLVD and HFA, as well as evidence of a functional difference in the way their brains behave when they are presented with stimuli,” Fine said.
While more research is needed to better understand how nonverbal learning disability fits into the family of learning disorders, Fine said her findings present “an interesting piece of the puzzle.”
“I would say at this point we still don’t have enough evidence to say NVLD is a distinct diagnosis, but I do think our research supports the idea that it might be,” she said.
Synaesthesia is more common in autism
People with autism are more likely to also have synaesthesia, suggests new research in the journal Molecular Autism.
Synaesthesia involves people experiencing a ‘mixing of the senses’, for example, seeing colours when they hear sounds, or reporting that musical notes evoke different tastes. Autism is diagnosed when a person struggles with social relationships and communication, and shows unusually narrow interests and resistance to change. The team of scientists from Cambridge University found that whereas synaesthesia only occurred in 7.2% of typical individuals, it occurred in 18.9% of people with autism.
On the face of it, this is an unlikely result, as autism and synaesthesia seem as if they should not share anything. But at the level of the brain, synaesthesia involves atypical connections between brain areas that are not usually wired together (so that a sensation in one channel automatically triggers a perception in another). Autism has also been postulated to involve over-connectivity of neurons (so that the person over-focuses on small details but struggles to keep track of the big picture).
The scientists tested – and confirmed – the prediction that if both autism and synaesthesia involve neural over-connectivity, then synaesthesia might be disproportionately common in autism.
The team, led by Professor Simon Baron-Cohen at the Autism Research Centre at Cambridge University, tested 164 adults with an autism spectrum condition and 97 adults without autism. All volunteers were screened for synaesthesia. Among the 31 people with autism who also had synaesthesia, the most common forms of the latter were ‘grapheme-colour’ (18 of them reported black and white letters being seen as coloured) and ‘sound-colour’ (21 of them reported a sound triggering a visual experience of colour). Another 18 of them reported either tastes, pains, or smells triggering a visual experience of colour.
Professor Baron-Cohen said: “I have studied both autism and synaesthesia for over 25 years and I had assumed that one had nothing to do with the other. These findings will re-focus research to examine common factors that drive brain development in these traditionally very separate conditions. An example is the mechanism ‘apoptosis,’ the natural pruning that occurs in early development, where we are programmed to lose many of our infant neural connections. In both autism and synaesthesia apoptosis may not occur at the same rate, so that these connections are retained beyond infancy.”
Professor Simon Fisher, a member of the team, and Director of the Language and Genetics Department at Nijmegen’s Max Planck Institute, added: “Genes play a substantial role in autism and scientists have begun to pinpoint some of the individual genes involved. Synaesthesia is also thought to be strongly genetic, but the specific genes underlying this are still unknown. This new research gives us an exciting new lead, encouraging us to search for genes which are shared between these two conditions, and which might play a role in how the brain forms or loses neural connections.”
Donielle Johnson, who carried out the study as part of her Master’s degree in Cambridge, said: “People with autism report high levels of sensory hyper-sensitivity. This new study goes one step further in identifying synaesthesia as a sensory issue that has been overlooked in this population. This has major implications for educators and clinicians designing autism-friendly learning environments.”
(Source: eurekalert.org)
How video gaming can be beneficial for the brain
Video gaming causes increases in the brain regions responsible for spatial orientation, memory formation and strategic planning as well as fine motor skills. This has been shown in a new study conducted at the Max Planck Institute for Human Development and Charité University Medicine St. Hedwig-Krankenhaus. The positive effects of video gaming may also prove relevant in therapeutic interventions targeting psychiatric disorders.
In order to investigate how video games affect the brain, scientists in Berlin have asked adults to play the video game “Super Mario 64” over a period of two months for 30 minutes a day. A control group did not play video games. Brain volume was quantified using magnetic resonance imaging (MRI). In comparison to the control group the video gaming group showed increases of grey matter, in which the cell bodies of the nerve cells of the brain are situated. These plasticity effects were observed in the right hippocampus, right prefrontal cortex and the cerebellum. These brain regions are involved in functions such as spatial navigation, memory formation, strategic planning and fine motor skills of the hands. Most interestingly, these changes were more pronounced the more desire the participants reported to play the video game.
“While previous studies have shown differences in brain structure of video gamers, the present study can demonstrate the direct causal link between video gaming and a volumetric brain increase. This proves that specific brain regions can be trained by means of video games”, says study leader Simone Kühn, senior scientist at the Center for Lifespan Psychology at the Max Planck Institute for Human Development. Therefore Simone Kühn and her colleagues assume that video games could be therapeutically useful for patients with mental disorders in which brain regions are altered or reduced in size, e.g. schizophrenia, post-traumatic stress disorder or neurodegenerative diseases such as Alzheimer’s dementia.
“Many patients will accept video games more readily than other medical interventions”, adds the psychiatrist Jürgen Gallinat, co-author of the study at Charité University Medicine St. Hedwig-Krankenhaus. Further studies to investigate the effects of video gaming in patients with mental health issues are planned. A study on the effects of video gaming in the treatment of post-traumatic stress disorder is currently ongoing.
New links between social status and brain activity
New studies released today reveal links between social status and specific brain structures and activity, particularly in the context of social stress. The findings were presented at Neuroscience 2013, the annual meeting of the Society for Neuroscience and the world’s largest source of emerging news about brain science and health.
Using human and animal models, these studies may help explain why position in social hierarchies strongly influences decision-making, motivation, and altruism, as well as physical and mental health. Understanding social decision-making and social ladders may also aid strategies to enhance cooperation and could be applied to everyday situations from the classroom to the boardroom.
Today’s new findings show that:
- Adult rats living in disrupted environments produce fewer new brain cells than rats in stable societies, supporting theories that unstable conditions impair mental health and cognition (Maya Opendak, abstract 85.11, see attached summary).
- People who have many friends have certain brain regions that are bigger and better connected than those with fewer friends. It’s unknown whether their brains were predisposed to social engagement or whether larger social networks prompted brain development (Maryann Noonan, PhD, abstract 667.11, see attached summary).
- In situations where monkeys can potentially cooperate to improve their mutual reward, certain groups of brain cells work to accurately predict the responses of other monkeys (Keren Haroush, PhD, abstract 668.08, see attached summary).
- Following extreme social stress, enhancing brain changes associated with depression can have ananti-depressant effect in mice (Allyson Friedman, PhD, abstract 504.05, see attached summary).
Other recent findings discussed show that:
- Defeats heighten sensitivity to social hierarchies and may exacerbate brain activity related to social anxiety (Romain Ligneul, presentation 186.12, see attached speaker summary).
“Social subordination and social instability have been associated with an increased incidence of mental illness in humans,” said press conference moderator Larry Young, PhD, of Emory University, an expert in brain functions involved with social behavior. “We now have a better picture of how these situations impact the brain. While this information could lead to new treatments, it also calls on us to evaluate how we construct social hierarchies — whether in the workplace or school — and their impacts on human well-being.”
Study reveals information about the genetic architecture of brain’s grey matter
Findings may one day provide clues to understanding neuropsychiatric disorders
An international research team studying the structure and organization of the brain has found that different genetic factors may affect the thickness of different parts of the cortex of the brain.
The findings of this basic neuroscience study provide clues to better understanding the complex structure of the human brain. Ultimately, knowledge of genetic factors that underlie brain structure may help to identify individuals at risk for neuropsychiatric disorders, such as autism, schizophrenia or dementia. However, further research is necessary and the road to preventing or treating these conditions based on this work remains a long one.
The team was led by researchers at the University of California, San Diego, and included scientists from Virginia Commonwealth University, Boston University, Harvard Medical School and Massachusetts General Hospital, the University of Helsinki in Finland and the Veterans Affairs San Diego Healthcare System.
In the study, published online this week in the Proceedings of the National Academy of Sciences Online Early Edition, the team used MRI brain scan data collected from more than 200 pairs of twins between the ages of 55 and 65 and created a map based on genetic correlations between measures of thickness at different places on the cortex.
Using software developed by Michael Neale, Ph.D., professor of psychiatry and human genetics in the VCU School of Medicine, the team drew a genetic correlation map based on cortical thickness at thousands of points on the surface of the brain. These correlations were then analyzed to identify regions where the same genetic factors seem to have been operating. Twelve such regions in each hemisphere were identified, similar to an earlier study of measures of surface area.
“Our team has mapped genetic factors that influence the thickness of the cortex of the human brain,” said Neale who was a study contributor and co-author.
“Knowledge of the genetic organization of brain structures may guide the identification of risk factors for psychiatric disorders,” he said.
According to Neale, individuals differ in the thickness of these regions, and a twin study can help differentiate genetic from environmental factors that cause these differences at any one location. Twin studies also can estimate the degree to which the same versus different genetic factors affect two different characteristics.
Traditionally, maps of the human brain have been drawn using one of two types of information. The first is anatomical, such as the wrinkles on the surface, or cortex, of the brain. A second type of map, which may be called functional, is drawn from knowledge of how different parts of the brain are associated with particular functions. For example, Wernicke’s area on the left side of the brain is associated with the understanding of language.
The research builds on work published last year in Science by the same research team. That article reported on the initial development of the new software tool to study and explain how the brain works. It was considered the first map of the surface of the brain based on the basis of genetic information.
Next steps for this research will include correlating measures of these regions with outcomes, such as change in cognitive abilities since age 20, or lifetime cigarette smoking.
For nearly 30 years, Neale, an internationally known expert in statistical methodology, has developed and applied statistical models in genetic studies, primarily of twins and their relatives, with the goal of better understanding the brain and behavior.
Centers throughout the brain work together to make reading possible
A combination of brain scans and reading tests has revealed that several regions in the brain are responsible for allowing humans to read.
The findings open up the possibility that individuals who have difficulty reading may only need additional training for specific parts of the brain — targeted therapies that could more directly address their individual weaknesses.
“Reading is a complex task. No single part of the brain can do all the work,” said Qinghua He, postdoctoral research associate at the USC Brain and Creativity Institute, based at the USC Dornsife College of Letters, Arts and Sciences, and first author of a study on this research that was published in The Journal of Neuroscience on July 31.
The study looked at the correlation between reading ability and brain structure revealed by high-resolution magnetic resonance imaging (MRI) scans of more than 200 participants.
To control for external factors, the participants were about the same age and education level (college students); right-handed (lefties use the opposite hemisphere of their brain for reading); and all had about the same language skills (Chinese-speaking, with English as a second language for more than nine years). Their IQ, response speed and memory were also tested.
The study first collected data for seven different reading tests of a sample of more than 400 participants. These tests were intended to explore three aspects of their reading ability: phonological decoding ability (the ability to sound out printed words); form-sound association (how well participants could make connections between a new word and sound); and naming speed (how quickly participants were able to read out loud).
Each of these aspects, it turned out, was related to the gray matter volume — the amount of neurons — in different parts of the brain.
The MRI analysis showed that phonological decoding ability was strongly connected with gray matter volume in the left superior parietal lobe (around the top/rear of the brain); form-sound association was strongly connected with the hippocampus and cerebellum; and naming speed lit up a variety of locations around the brain.
“Our results strongly suggest that reading consists of unique capacities and is supported by distinct neural systems that are relatively independent of general cognitive abilities,” said Gui Xue, corresponding author of the study. Xue was formerly a research assistant professor at USC and now is a professor and director of the Center for Brain and Learning Sciences at Beijing Normal University.
“Although there is no doubt that reading has to build up existing neural systems due to the short history of written language in human evolution, years of reading experiences might have finely tuned the system to accommodate the specific requirement of a given written system,” Xue said.
He and Xue collaborated with Chunhui Chen and Qi Dong of Beijing Normal University; Chuansheng Chen of the University of California, Irvine; and Zhong-Lin Lu of Ohio State University.
One of the top features of this study was its unusually wide sample size, according to researchers. Typically, MRI studies test a relatively small sample of individuals — perhaps around 20 to 30 — because of the high cost of using the MRI machine. Testing a single individual can cost about $500, depending on the nature of the research.
The team had the good fortune of receiving access to Beijing Normal University’s new MRI center — the BNU Imaging Center for Brain Research — just before it opened to the public. With support from several grants, the researchers were able to conduct MRI tests on 233 individuals.
Next, the group will explore how to combine data from other factors, such as white matter, resting and task functional MRI, as well as more powerful machine-learning techniques, to improve the accuracy of individuals’ reading abilities.
“Research along this line will enable the early diagnosis of reading difficulties and the development of more targeted therapies,” Xue said.
Changes in Brain Structure Found After Childhood Abuse
Different forms of childhood abuse increase the risk for mental illness as well as sexual dysfunction in adulthood, but little has been known about how that happens. An international team of researchers, including the Miller School’s Charles B. Nemeroff, M.D., Ph.D., Leonard M. Miller Professor and Chair of Psychiatry and Behavioral Sciences, has discovered a neural basis for this association. The study, published in the June 1 issue of the American Journal of Psychiatry, shows that sexually abused and emotionally mistreated children exhibit specific and differential changes in the architecture of their brain that reflect the nature of the mistreatment.
Researchers have known that victims of childhood abuse often suffer from psychiatric disorders later in life, including sexual dysfunction following sexual abuse. The underlying mechanisms mediating this association have been poorly understood. Nemeroff and a group of scientists led by Christine Heim, Ph.D., Director of the Institute of Medical Psychology at Charité University of Medicine Berlin, and Jens Pruessner, Ph.D., Director of the McGill Center for Studies in Aging at McGill University in Montreal, hypothesized that cortical changes during segments of mistreatment played a role. To study these potential changes, the researchers used magnetic resonance imaging (MRI) to examine the brains of 51 adult women who were exposed to various forms of childhood abuse.
The results showed a correlation between specific forms of maltreatment and thinning of the cortex in precisely the regions of the brain that are involved in the perception or processing of the type of abuse. Specifically, the somatosensory cortex in the area in which the female genitals are represented was significantly thinner in women who were victims of sexual abuse in their childhood. Similarly, victims of emotional mistreatment were found to have a reduction of the thickness of the cerebral cortex in specific areas associated with self-awareness, self-evaluation and emotional regulation.
“This is one of the first studies documenting long-term alterations in specific brain areas as a consequence of child abuse and neglect,” said Nemeroff, who is also Director of the Center on Aging. “The finding that specific types of early life trauma have discrete, long lasting effects on the brain that underlie symptoms in adults is an important step in developing novel therapies to intervene to reduce the often lifelong psychiatric/psychological burden of such trauma.”
“Our data point to a precise association between experience-dependent neural plasticity and later health problems,” said Heim. Pruessner agreed that the “large effect and the regional specificity in the brain that corresponds to the type of abuse is remarkable.”
The scientists speculate that a regional thinning of the cortex may serve as a protective mechanism, immediately shielding the child from the experience of the abuse by gating or blocking the sensory experience. However, that thinning of the cortical sections may lay the groundwork for the development of behavioral problems in adulthood. The results of this study extend the literature on neural plasticity and show that cortical representation fields can be smaller when certain sensory experiences are damaging or developmentally inappropriate.