Posts tagged cognitive processes
Articles and news from the latest research reports.
Autistic Brains Create More Information at Rest
New research from Case Western Reserve University and University of Toronto neuroscientists finds that the brains of autistic children generate more information at rest – a 42% increase on average. The study offers a scientific explanation for the most typical characteristic of autism – withdrawal into one’s own inner world. The excess production of information may explain a child’s detachment from their environment.
Published at the end of December in Frontiers in Neuroinformatics, this study is a follow-up to the authors’ prior finding that brain connections are different in autistic children. This paper determined that the differences account for the increased complexity within their brains.
“Our results suggest that autistic children are not interested in social interactions because their brains generate more information at rest, which we interpret as more introspection in line with early descriptions of the disorder,” said Roberto Fernández Galán, PhD, senior author and associate professor of neurosciences at Case Western Reserve School of Medicine.
The authors quantified information as engineers normally do but instead of applying it to signals in electronic devices, they applied it to brain activity recorded with magnetoencephalography (MEG). They showed that autistic children’s brains at rest generate more information than non-autistic children. This may explain their lack of interest in external stimuli, including interactions with other people.
The researchers also quantified interactions between brain regions, i.e., the brain’s functional connectivity, and determined the inputs to the brain in the resting state allowing them to interpret the children’s introspection level.
“This is a novel interpretation because it is a different attempt to understand the children’s cognition by analyzing their brain activity,” said José L. Pérez Velázquez, PhD, first author and professor of neuroscience at University of Toronto Institute of Medical Science and Department of Pediatrics, Brain and Behavior Center.
“Measuring cognitive processes is not trivial; yet, our findings indicate that this can be done to some extent with well-established mathematical tools from physics and engineering.”
This study provides quantitative support for the relatively new “Intense World Theory” of autism proposed by neuroscientists Henry and Kamila Markram of the Brain Mind Institute in Switzerland, which describes the disorder as the result of hyper-functioning neural circuitry, leading to a state of over-arousal. More generally, the work of Galán and Pérez Velázquez is an initial step in the investigation of how information generation in the brain relates to cognitive/psychological traits and will begin to frame neurophysiological data into psychological aspects. The team now aims to apply a similar approach to patients with schizophrenia.
How Multitasking Can Improve Judgments
Research has revealed that multitasking impedes performance across a variety of tasks. Emergency room nurses that are interrupted multiple times while treating a patient can be more likely to make medication errors. Driving while speaking on a mobile phone significantly increases the probability of an automobile accident. At the same time, however, experienced golfers putt better when distracted than experienced golfers who are focusing on performance. Distractions resulting from the presence of other people can increase an individual’s performance, too. Why?
Addressing the Contradictions
In a forthcoming issue of Psychological Science, one of the world’s top-ranked empirical journals in psychology, a team of researchers from the University of Basel helps to clarify these apparent contradictions. Lead author Janina Hoffmann, a Ph.D. student in Economic Psychology, and her co-authors Dr. Bettina von Helversen and Prof. Dr. Jörg Rieskamp, find that the type of judgment strategy that an individual employs strongly conditions how the “cognitive load” induced by multitasking affects performance. Higher cognitive load can actually improve performance when the task can be best completed using a less demanding, similarity-based strategy that informs judgments by retrieving past instances from memory.
The study is supported by the findings of two experiments conducted at the University of Basel. The first study exposed 90 participants to variable cognitive loads as they were asked to solve a judgment task whose solution was best achieved through the use of a similarity-based strategy (predicting how many cartoon characters another cartoon character could catch). Most participants switched to using a similarity-based strategy and produced more accurate judgments. The second study then exposed 60 participants to a linear task whose solution was not conducive to similarity-based strategies but rather rule- based strategies. Those participants who employed a similarity-based strategy made poorer judgments. The experiments were conducted with financial support from the Swiss National Science Foundation.
Moving Forward
Cognitive load does not per se lead to worse performance, but rather it can, dependent on strategy choice, lead to better performance. The researchers believe that it is important to decipher cognitive strategies that people choose under given levels of cognitive load. Hoffmann claims, “A better understanding of these cognitive strategies may permit future studies to predict the precise circumstances under which people can solve a problem particularly well.”
Transgenic mice ready to fight obesity – and more
Scientists at the Nencki Institute of Experimental Biology of the Polish Academy of Sciences in Warsaw investigate mice with a very precisely modified genome. Because it is possible to turn off the Dicer gene in adult mice, they can be used to investigate the processes related to such cognitive functions such as learning and memory. Also Nencki scientists have just shown that the new transgenic mouse is suitable to study metabolic dysfunctions resulting in obesity.
Studies on the Dicer gene and its impact on the cognitive and metabolic processes are currently carried out at the Nencki Institute’s Laboratory of Animal Models, a core facility in the newly established Neurobiology Center. The Center has been built on Campus Ochota in Warsaw as part of a large European project called the Centre for Preclinical Research and Technology (CePT). This project, financed from the Operational Programme Innovative Economy, brings together 10 research institutions from Warsaw.
“No one needs convincing that knowledge about the function of individual human genes is absolutely fundamental in biology as well as medicine”, says Dr Witold Konopka, head of the Laboratory of Animal Models. “But how do we determine a gene’s function, if no genetic modifications in humans are allowed? The only method is to create an animal, for example a mouse with genes turned on or off to model the studied illness. This is easy to say, but difficult to do, especially when the involved genes are really important for each cell”.
For several years Dr Konopka has been involved in research on the Dicer gene in mice. This gene, the analogue of which can be found also in the human genome, is responsible for creating a protein which reduces RNA molecules to short, 20-nucleotide fragments, important in regulating the activity of other genes. The Dicer gene needs to be active for proper functioning of the cell. It cannot be simply turned off in zygote, because the resulting defect would make the proper development of the zygote impossible.
Preparation of a transgenic mouse, in which the Dicer gene could be blocked in adulthood, takes a year and a half. This process starts with surrounding the Dicer gene on the DNA chain with two sequences known as loxP. This is done on stem cells, which are then injected into the embryo. Since the Dicer gene remains active, the embryo develops normally. At the same time the animal zygote of the opposite sex is injected with a gene coding a protein known as recombinase Cre-ERT2. Molecules of this protein consist of a part containing the Cre enzyme and a fragment reacting to a chemical compound called tamoxifen, which prior to such reaction prohibits recombinase Cre-ERT2 from penetrating into the cell nucleus.
Adult mice of both types are then cross bred for progeny, which will inherit the Dicer gene surrounded with the loxP sequences as well as the gene coding for recombinase from its parents. A mouse of this type has been created thanks to a joint effort of research groups from different world research centres such as the German Cancer Research Center (DKFZ) in Germany or the Imperial College London in the United Kingdom.
In order to turn off the Dicer gene in such adult mouse, it is enough to administer tamoxifen to them for a few days, which accumulates in neurons and allows the recombinase to penetrate into the cell nucleus. The Cre enzyme recognises the loxP sequence and removes the coding fragment with the Dicer gene.
“The first mice, in which the Dicer gene could be switched off at any time, were received by me a few years ago during my postdoctoral fellowship in the German Cancer Research Center in Heidelberg. Currently we breed such mice also the Nencki’s Laboratory of Animal Models. But breeding such animals constitutes only a part of the task. If we want to use them for research, they have to be appropriately characterized”, explains Dr Konopka.
Traits of mice used for scientific research have to be well known. Without such knowledge researchers cannot determine whether a change observed in the appearance or behaviour of the animal is related to turning off the gene. “Two years ago we have characterized the cognitive processes of these new mice. We have determined that after turning off the Dicer gene the animals showed better memory than the controls”, says Dr Konopka. But about five months after deleting the Dicer gene from the brain, the mice scored below the level of the control group on their cognitive abilities, which could be related to dying neurons devoid of the Dicer gene. Currently scientists have just finished analysing changes occurring in metabolic processes of those new mice, which for 3-4 weeks after turning off the Dicer gene eat more and gain weight faster, whereupon their appetite goes back to normal, but higher weight of their bodies’ remains.
“Before we have established with the required accuracy, how our mice learn and remember. Now we are certain, that the same mice can be used to investigate obesity and we plan to do that soon. But in our new lab we will not only conduct studies on disease models. We would also like to generate new transgenic animals for other research centres”, emphasizes Dr Konopka.
(Source: alphagalileo.org)
A team of political scientists and neuroscientists has shown that liberals and conservatives use different parts of the brain when they make risky decisions, and these regions can be used to predict which political party a person prefers. The new study suggests that while genetics or parental influence may play a significant role, being a Republican or Democrat changes how the brain functions.
Dr. Darren Schreiber, a researcher in neuropolitics at the University of Exeter, has been working in collaboration with colleagues at the University of California, San Diego on research that explores the differences in the way the brain functions in American liberals and conservatives. The findings are published in the journal PLOS ONE on 13 February.
In a prior experiment, participants had their brain activity measured as they played a simple gambling game. Dr. Schreiber and his UC San Diego collaborators were able to look up the political party registration of the participants in public records. Using this new analysis of 82 people who performed the gambling task, the academics showed that Republicans and Democrats do not differ in the risks they take. However, there were striking differences in the participants’ brain activity during the risk-taking task.
Democrats showed significantly greater activity in the left insula, a region associated with social and self-awareness. Meanwhile Republicans showed significantly greater activity in the right amygdala, a region involved in the body’s fight-or-flight system. These results suggest that liberals and conservatives engage different cognitive processes when they think about risk.
In fact, brain activity in these two regions alone can be used to predict whether a person is a Democrat or Republican with 82.9% accuracy. By comparison, the longstanding traditional model in political science, which uses the party affiliation of a person’s mother and father to predict the child’s affiliation, is only accurate about 69.5% of the time. And another model based on the differences in brain structure distinguishes liberals from conservatives with only 71.6% accuracy.
The model also outperforms models based on differences in genes. Dr. Schreiber said: “Although genetics have been shown to contribute to differences in political ideology and strength of party politics, the portion of variation in political affiliation explained by activity in the amygdala and insula is significantly larger, suggesting that affiliating with a political party and engaging in a partisan environment may alter the brain, above and beyond the effect of heredity.”
These results may pave the way for new research on voter behaviour, yielding better understanding of the differences in how liberals and conservatives think. According to Dr. Schreiber: “The ability to accurately predict party politics using only brain activity while gambling suggests that investigating basic neural differences between voters may provide us with more powerful insights than the traditional tools of political science.”
Scanning the Brain: Scientists Examine the Impact of fMRI Over the Past 20 Years
Understanding the human brain is one of the greatest scientific quests of all time, but the available methods have been very limited until recently. The development of functional magnetic resonance imaging (fMRI) — a tool used to gauge real-time brain activity by measuring changes in blood flow — opened up an exciting new landscape for exploration.
Now, twenty years after the first fMRI study was published, a group of distinguished psychological scientists reflect on the contributions fMRI has made to our understanding of human thought. Their reflections are published as part of a special section of the January 2013 issue of Perspectives on Psychological Science, a journal of the Association for Psychological Science.
In the last two decades, many researchers have used fMRI to try to answer various questions about the brain and mind. But some are not convinced of its usefulness.
“Despite the many new methods and results derived from fMRI research, some have argued that fMRI has done very little to advance knowledge about cognition and, in particular, has done little to advance theories about cognitive processes,” write Mara Mather, Nancy Kanwisher, and John Cacioppo, editors of the special section.
The aim of the special section is to tackle the question of how fMRI results have (or have not) changed the way we think about human psychology and the brain, resulting in a collection of 12 provocative articles.
Some of the authors argue that fMRI has fundamentally changed that way that researchers think about the aging mind. According to researchers Tor Wager and Lauren Atlas, fMRI may also provide a more direct way of measuring pain.
Others discuss the contributions fMRI has made to the longstanding debate about whether cognitive operations are modular or distributed across domains. And some emphasize the reciprocal relationship between fMRI and cognitive theories, highlighting how each informs the others.
As appealing as fMRI images might be, researchers Martha Farah and Cayce Hook find little support for the claim that fMRI data has a “seductive allure” that makes it more persuasive than other types of data.
In their concluding commentary, Mather, Cacioppo, and Kanwisher argue that fMRI does provide unique insights to our understanding of cognition. But, as powerful as it is, the researchers acknowledge that there are some questions fMRI will never answer.
“The best approach to answering questions about cognition,” say Mather, Cacioppo, and Kanwisher, “is a synergistic combination of behavioral and neuroimaging methods, richly complemented by the wide array of other methods in cognitive neuroscience.”
(Image courtesy of Glasgow University)
Studies Provide New Insights into Brain-Behavior Relationships
Approximately half a million individuals suffer strokes in the US each year, and about one in five develops some form of post-stroke aphasia, the partial or total loss of the ability to communicate. By comparing different types of aphasia, investigators have been able to gain new insights into the normal cognitive processes underlying language, as well as the potential response to interventions. Their findings are published alongside papers on hemispatial neglect and related disorders in the January, 2013 issue of Behavioural Neurology.
The January issue of Behavioural Neurology, edited by the journal’s co-Editor in Chief, Argye E. Hillis, MD, of the Departments of Neurology, Physical Medicine and Rehabilitation, and Department of Cognitive Science, Johns Hopkins University, Baltimore, Maryland, features papers on two topics that have traditionally captured the interest of behavioral neurologists – aphasia and hemispatial neglect.
The first section on aphasia includes a number of papers that compare post-stroke aphasia with primary progressive aphasia (PPA), in which the predominant deficit is language (with or without apraxia).
Andreia V. Faria, MD, Department of Radiology, Johns Hopkins University School of Medicine, and colleagues from Johns Hopkins and University College, London, report patterns of dysgraphia (spelling impairment) in participants with primary progressive aphasia, and compare these patterns to those in participants with dysgraphia following stroke. They also report the areas of focal atrophy associated with the most common pattern of dysgraphia in PPA and suggest this can not only provide a better understanding of the neural substrates of spelling, but may also provide clues to more effective treatment approaches.
Matthew A. Lambon Ralph, FRSLT (hons), FBPsS, and colleagues from the School of Psychological Sciences, University of Manchester, UK; the Department of Psychology, University of York, UK; and the Stroke and Dementia Research Centre, St George’s University of London, UK, use a novel approach to explore nonverbal semantic processing to demonstrate the qualitative differences between semantic aphasia and semantic dementia. Their conclusions provide further support for the proposal that semantic cognition is underpinned by two principle components: semantic representations and regulatory control processes which regulate and shape activation within the semantic system.
Cynthia K. Thompson, PhD, and colleagues from the Department of Communication Sciences and Disorders, Department of Neurology, Cognitive Neurology and Alzheimer’s Disease Center, and Department of Psychiatry and Behavioral Sciences at Northwestern University, Evanston, Illinois, evaluate the distinct patterns of morphological and syntactic errors in the variants of PPA, and compare them with patterns of errors in post-stroke aphasia.
Other papers compare treatment results of spelling in one individual with logopenic variant PPA (lvPPA) with an individual with post-stroke dysgraphia, and results of a new method of assessment of verbal and nonverbal memory in PPA. The issue is completed by three Clinical Notes including a fascinating case of an unusual form of lvPPA that degenerated into jargon aphasia, a case of nonfluent agrammatic variant PPA due to Pick disease with (what is argued to be) concomitant incidental Alzheimer’s disease pathology, and a case of successful treatment of PPA.
“Together, these papers illustrate how investigating PPA and post-stroke aphasia can yield complementary insights about brain-behavior relationships as well as about potential response to interventions and the normal cognitive processes underlying language,” says Dr Hillis.
Hemispatial neglect is characterized by reduced awareness of stimuli on one side of space. It occurs only after relatively focal (or at least asymmetric) brain damage, most commonly stroke, but is occasionally observed in other syndromes. In this second group of seven papers, Jonathan T. Kleinman, MD, of Johns Hopkins University School of Medicine, and Stanford University School of Medicine, Stanford, California, and colleagues from Johns Hopkins University School of Medicine, report an investigation of perseveration versus hemispatial neglect, and the lesion sites associated with each in acute stroke. The issue also includes an important paper by Junichi Ishizaki, PhD, and co-workers at the Department of Geriatric Behavioral Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan, of impaired visual-spatial attention in Alzheimer’s disease, which shows how a symmetric neurodegenerative disease results in impaired shifting of visual spatial attention, but not hemispatial neglect.
“Hemispatial neglect remains one of the most remarkable syndromes investigated by behavioral neurologists,” comments Dr Hillis. “These novel studies of neglect and related disorders provide new insights into brain-behavior relationships on the basis of detailed analysis of patient performance – and in many cases, their lesion sites.“
(Source: iospress.nl)
'Smart' genes put us at risk of mental illness
Humans may be endowed with the ability to perform complex forms of learning, attention and function but the evolutionary process that led to this has put us at risk of mental illness.
Data from new research, published today in the journal Nature Neuroscience, was analysed by Dr Richard Emes, a bioinformatics expert from the School of Veterinary Medicine and Science at The University of Nottingham. The results showed that disease-causing mutations occur in the genes that evolved to make us smarter than our fellow animals.
Dr Emes, Director of The University of Nottingham’s Advanced Data Analysis Centre, conducted an analysis of the evolutionary history of the Discs Large homolog (Dlg) family of genes which make some of the essential building blocks of the synapse — the connection between nerve cells in the brain. He said: “This study highlights the importance of the synapse proteome — the proteins involved in the brains signalling processes — in the understanding of cognition and the power of comparative studies to investigate human disease.”
The study involved scientists from The University of Edinburgh, The Wellcome Trust Sanger Institute, the University of Aberdeen, The University of Nottingham and the University of Cambridge.
This cross-disciplinary team of experts carried out what they believe to be the first genetic dissection of the vertebrate’s ability to perform complex forms of learning, attention and function. They focussed on Dlg — a family of genes that humans shared with the ancestor of all backboned animals some 550 million years ago. Gene families like the Dlgs arose by duplication of DNA, changed by mutation over millions of years and now contribute to the complex cognitive processes we have today. However, this redundancy and subsequent accumulation of changes in the DNA may have led to increased susceptibility to some diseases.
Components of the human cognitive repertoire are routinely assessed by using computerised touch-screen methods. By using the same technique with mice researchers were able to probe the cognitive mechanisms conserved since humans and mice shared a common ancestor — around 100 million years ago. By comparing the effect of DNA changes on behavioural test outcomes this research showed a common cause of mutation and effect of learning changes in both mice and humans.
Dr Emes said: “This research shows the importance of discerning information from data and how the power of computational research combined with behavioural and cognitive studies can provide such novel insight into the basis of clinical disorders. This research provides continued support that discovery occurs at the boundary of disciplines by the integration of data.”
(Source: nottingham.ac.uk)
Making a Game Out of Improving the ‘Sticky’ Brain
UCSF neuroscientists have found that by training on attention tests, people young and old can improve brain performance and multitasking skills.
Anyone who tries to perform two tasks at once is likely to do worse on both. Why that is so at the neurological level has largely been terra incognita. But research now is starting to reveal the impact of multitasking on short-term memory and attention.
Adam Gazzaley, MD, PhD, associate professor of neurology, physiology and psychiatry, and researchers at the UCSF Neuroscience Imaging Center use EEG, MRI and other non-invasive tools to study cognitive processes while people try their best on drills that test short-term memory.