Posts tagged cognitive functioning
Articles and news from the latest research reports.
Researchers discover how inhibitory neurons behave during critical periods of learning
We’ve all heard the saying “you can’t teach an old dog new tricks.” Now neuroscientists are beginning to explain the science behind the adage.
For years, neuroscientists have struggled to understand how the microcircuitry of the brain makes learning easier for the young, and more difficult for the old. New findings published in the journal Nature by Carnegie Mellon University, the University of California, Los Angeles and the University of California, Irvine show how one component of the brain’s circuitry — inhibitory neurons — behave during critical periods of learning.
The brain is made up of two types of cells — inhibitory and excitatory neurons. Networks of these two kinds of neurons are responsible for processing sensory information like images, sounds and smells, and for cognitive functioning. About 80 percent of neurons are excitatory. Traditional scientific tools only allowed scientists to study the excitatory neurons.
"We knew from previous studies that excitatory cells propagate information. We also knew that inhibitory neurons played a critical role in setting up heightened plasticity in the young, but ideas about what exactly those cells were doing were controversial. Since we couldn’t study the cells, we could only hypothesize how they were behaving during critical learning periods," said Sandra J. Kuhlman, assistant professor of biological sciences at Carnegie Mellon and member of the joint Carnegie Mellon/University of Pittsburgh Center for the Neural Basis of Cognition.
The prevailing theory on inhibitory neurons was that, as they mature, they reach an increased level of activity that fosters optimal periods of learning. But as the brain ages into adulthood and the inhibitory neurons continue to mature, they become even stronger to the point where they impede learning.
Newly developed genetic and imaging technologies are now allowing researchers to visualize inhibitory neurons in the brain and record their activity in response to a variety of stimuli. As a postdoctoral student at UCLA in the laboratory of Associate Professor of Neurobiology Joshua T. Trachtenberg, Kuhlman and her colleagues used these new techniques to record the activity of inhibitory neurons during critical learning periods. They found that, during heightened periods of learning, the inhibitory neurons didn’t fire more as had been expected. They fired much less frequently — up to half as often.
"When you’re young you haven’t experienced much, so your brain needs to be a sponge that soaks up all types of information. It seems that the brain turns off the inhibitory cells in order to allow this to happen," Kuhlman said. "As adults we’ve already learned a great number of things, so our brains don’t necessarily need to soak up every piece of information. This doesn’t mean that adults can’t learn, it just means when they learn, their neurons need to behave differently."
People in their 90s are getting smarter
Ninety-somethings seem to be getting smarter. Today’s oldest people are surviving longer, and thankfully appear to have sharper minds than the people reaching their 90s 10 years ago.
Kaare Christensen, head of the Danish Aging Research Center at the University of Southern Denmark in Odense, and colleagues found Danish people born in 1915 were about a third more likely to live to their 90s than those born in 1905, and were smarter too.
During research, which spanned 12 years and involved more than 5000 people, the team gave nonagenarians born in 1905 and 1915 a standard test called a “mini-mental state examination”, and cognitive tests designed to pick up age-related changes. Not only did those born in 1915 do better at both sets of tests, more of them also scored top marks in the mini-mental state exam.
It’s a landmark study, says Marcel Olde Rikkert, head of the Alzheimer’s centre at Radboud University Nijmegen Medical Centre in the Netherlands. It is scientifically rigorous, it invited all over 90-year-olds in Denmark to participate, and it also overturns our ingrained views of old age, he says.
Getting better all the time
"The outcome underlines that ageing is malleable," Olde Rikkert says, adding that cognitive function can actually be a lot better than people would assume until a very high age.
"It’s motivating that people, their lifestyles, and their environments can contribute a lot to the way they age," he says, though he cautions that not everything is in our own hands and help is still needed for those with dementia or those who do experience cognitive decline as they age.
Improved education played a part in the changes, says Christensen. But the study does not disentangle the individual effects of the numerous things that could be responsible for the improvements. “The 1915 cohort had a number of factors on their side – they experienced better living and working conditions, they had radio, TV and newspapers earlier in their lives than those born 10 years before,” he says.
Tellingly, there was no difference in the physical test results between the two groups. The authors say this “suggests changes in the intellectual environment rather than in the physical environment are the basis for the improvement”.
(Source: newscientist.com)
…treating neurological diseases and computers that see!
Some 165 million Europeans are likely to experience some form of brain-related disease during their life. As the population ages, Alzheimer’s and other neurodegenerative or age-related mental disorders are affecting more people and contributing to higher health costs. Finding better ways of preventing and treating brain diseases is therefore becoming urgent, and understanding how our brains work is important to keep our economies at the forefront of new information technologies and services. EU-funded research is answering these challenges.
As mentioned in the first part of this article, this May the European Commission announced EUR 150 million of funding for 20 new ICT research projects expected to deliver new insights and innovations relating to traumatic brain injury, mental disorders, pain, epilepsy and paediatric conduct disorders.
The European Commissioner for Research, Innovation and Science, Máire Geoghegan-Quinn has said, ”Treating those affected (by brain-related disease) is already costing us EUR 1.5 million every minute […] Brain research could help alleviate the suffering of millions of patients and those that care for them. Unlocking the secrets of how the brain works could also open up a whole new universe of services and products for our economies.”
Treating neurological diseases
Stroke is the most common neurological disease to afflict people, causing cognitive problems - such as difficulties with attention, memory or language - or severe physical disability. The incidence increases with age, making it the most frequent cause of life-long impairment in adulthood.
These effects tend to increase patients” dependence on other people, and this lost autonomy can then lead to depression. The CONTRAST project seeks to bridge the gap between institutional rehabilitation and monitoring of the patient at home.
The project is developing an adaptive ”human-computer interface” (HCI) to improve cognitive functioning, offering training modules that improve the recovery of attention and memory. Patients will be able to go through an individually tailored rehabilitation process at home at the computer, while their doctor provides home-based training and monitors their progress from the clinic.
A third of stroke patients will experience long-term physiological or cognitive disabilities - preventing them from maintaining independent lives. COGWATCH aims to enhance the rehabilitation of stroke patients with symptoms of ”apraxia and action disorganisation syndrome” (AADS). Such patients retain their motor capabilities but commit cognitive errors during every-day goal-oriented tasks.
The project is developing intelligent tools and objects, portable and wearable devices, and ambient systems to provide personalised cognitive rehabilitation at home for stroke patients with AADS symptoms. By providing persistent feedback, the system will help to re-train patients on how to carry out the everyday activities they need to be independent.
Parkinson’s disease is another neurodegenerative disorder that is growing in incidence as our population ages - it particularly affects areas of the brain that are involved in movement control. The CUPID project aims to develop innovative, personalised rehabilitation at home for people with Parkinson”s disease, based on the patient”s needs.
The CUPID service will employ wearable sensors, audio biofeedback, virtual reality and external cueing to provide intensive motivating training that is suited to the patient and monitored remotely - decreasing the need for travel to a rehabilitation centre.
By the end of its first year, in December 2012, the project had designed the rehabilitation exercises and developed prototype virtual games for these exercises, as well as the telemedicine infrastructure needed for remote supervision.
Epilepsy is another common neurological disorder that, despite progress in treatment, is still incurable. Nowadays, pharmaceutical treatment can reduce or remove the symptoms, but this needs life-long continuous adjustment in order to be effective. The condition therefore requires monitoring of multiple parameters for accurate diagnosis, prediction, alerting and prevention, as well as treatment follow-up and presurgical evaluation.
The ARMOR project is designing a more holistic, personalised, medically efficient and economical monitoring system to analyse brain and body data from epilepsy patients. This portable system will provide more accurate diagnosis for individual patients, and allow better understanding and prediction of the time and type of their seizures - helping to give a warning and ensure the availability of medical assistance and advice if necessary.
Amputation of a limb is not just a traumatic physical experience. It can also lead to sensations - usually accompanied by pain - that seem to come from the missing body part, called a ”phantom limb”. The TIME project is developing an alternative treatment for phantom limb pain based on a new ”human-machine interface” (HMI) and selective, electrical stimulation of the peripheral nerves.
Using an implantable electrode placed inside the nerve, and electrical stimulators placed outside the body, the system will provide electrical micro stimulation to help reduce painful sensations - and may even have applications such as enabling amputees to sense virtual environments by touch.
Seeing things
The potential of such techniques doesn’t stop at monitoring, diagnosis and managing chronic conditions. The OPTONEURO project could ultimately help return functional sight to blind people.
”Optogenetics” is an exciting new gene therapy technique that makes nerve cells sensitive to particular colours of light. Simple pulses of intense light cause these photosensitised nerve cells to fire ”action potentials”, the carriers of information in the nervous system. To activate the nerve cells, however, the new therapy depends on high illumination densities - bright light shining on very small areas.
The OPTONEURO project therefore aims to develop the complementary optoelectronics needed to stimulate these photosensitised neurons. The system would be scalable for applications both in basic neuroscience research and in ”neuroprosthesis”. In particular, the optoelectronics should be used in a future optogenetic-optoelectronic retinal prosthesis - an artificial eye - for those blinded by the ”retinitis pigmentosa” disease.
The project requires a team of specialists in photonics, micro-optics and neurobiology to develop an array of ultra-bright electronically controlled micro-LEDs, which could also provide a new research tool for the neuroscience and neurotechnology community.
The SEEBETTER project is also looking to develop artificial vision prosthetics for the blind. Conventional image sensors have severe limitations, but ”silicon retina” vision sensors aim to mimic the biological retina”s information processing - computing both spatial and temporal aspects of the visual input. To date, these silicon retinas suffer from low quantum efficiency - meaning low light sensitivity - and an inability to combine both spatial and temporal processing on the same chip.
SEEBETTER’s team of experts - from biology and biophysics, as well as biomedical, electrical and semiconductor engineering - aim to use genetic and physiological techniques to understand better the function of the retina and model the retina’s vision processing. They will then design and build the first high-performance silicon retina, implemented on a single silicon wafer, specialised for both spatial and temporal visual processing.
Understand the neurobiological principles of seeing - beyond the functioning of the retina alone - may help us to replicate the success of human vision for computers and robots. The RENVISION project aims to achieve a comprehensive understanding of how the retina encodes visual information through the different cellular layers and to use such insights to develop a retina-inspired computational approach to computer vision.
Using high-resolution 3D microscopy will allow the researchers to make images of the inner retinal layers at near-cellular resolution. This new knowledge on retinal processing will help develop advanced pattern recognition and machine-learning technologies. The project could therefore solve some of the most difficult tasks in computer vision - such as automated scene categorisation and human action recognition - so that robots and computers can see and perceive what is happening in the images they receive.
These are just some of the EU-funded ICT projects using electronics and computing technologies to understand, augment and improve the human brain and its functioning. The results have the potential to reduce the impact of disability and disease, and improve our computing power, IT infrastructure and economy.
Fast and painless way to better mental arithmetic? Yes, there might actually be a way
In the future, if you want to improve your ability to manipulate numbers in your head, you might just plug yourself in. So say researchers who report in the Cell Press journal Current Biology on May 16 on studies of a harmless form of brain stimulation applied to an area known to be important for math ability.
"With just five days of cognitive training and noninvasive, painless brain stimulation, we were able to bring about long-lasting improvements in cognitive and brain functions," says Roi Cohen Kadosh of the University of Oxford.
Incredibly, the improvements held for a period of six months after training. No one knows exactly how this relatively new method of stimulation, called transcranial random noise stimulation (TRNS), works. But the researchers say the evidence suggests that it allows the brain to work more efficiently by making neurons fire more synchronously.
Cohen Kadosh and his colleagues had shown previously that another form of brain stimulation could make people better at learning and processing new numbers. But, he says, TRNS is even less perceptible to those receiving it. TRNS also has the potential to help even more people. That’s because it has been shown to improve mental arithmetic—the ability to add, subtract, or multiply a string of numbers in your head, for example—not just new number learning. Mental arithmetic is a more complex and challenging task, which more than 20 percent of people struggle with.
Ultimately, Cohen Kadosh says, with better integration of neuroscience and education, this line of study could really help humans reach our cognitive potential in math and beyond. It might also be of particular help to those suffering with neurodegenerative illness, stroke, or learning difficulties.
"Maths is a highly complex cognitive faculty that is based on a myriad of different abilities," Cohen Kadosh says. "If we can enhance mathematics, therefore, there is a good chance that we will be able to enhance simpler cognitive functions."
Scientists reveal drinking champagne could improve memory
New research shows that drinking one to three glasses of champagne a week may counteract the memory loss associated with ageing, and could help delay the onset of degenerative brain disorders, such as dementia.
Scientists at the University of Reading have shown that the phenolic compounds found in champagne can improve spatial memory, which is responsible for recording information about one’s environment, and storing the information for future navigation.
The compounds work by modulating signals in the hippocampus and cortex, which control memory and learning. The compounds were found to favourably alter a number of proteins linked to the effective storage of memories in the brain. Many of these are known to be depleted with age, making memory storage less efficient, and leading to poorer memory in old age and conditions such as dementia. Champagne slows these loses and therefore may help prevent the cognitive losses that occur during typical and atypical brain ageing.
Champagne has relatively high levels of phenolics compared to white wine, deriving predominantly from the two red grapes, Pinot Noir and Pinot Meunier, which are used in its production along with the white grape Chardonnay. It is these phenolic compounds which are believed to be responsible for the beneficial effects of champagne on the brain.
Professor Jeremy Spencer, Department of Food and Nutritional Sciences, University of Reading, said: “These exciting results illustrate for the first time that the moderate consumption of champagne has the potential to influence cognitive functioning, such as memory. Such observations have previously been reported with red wine, through the actions of flavonoids contained within it.
"However, our research shows that champagne, which lacks flavonoids, is also capable of influencing brain function through the actions of smaller phenolic compounds, previously thought to lack biological activity. We encourage a responsible approach to alcohol consumption, and our results suggest that a very low intake of one to two glasses a week can be effective."
Dr. David Vauzour, the researcher on the study, added: “in the near future we will be looking to translate these findings into humans. This has been achieved successfully with other polyphenol-rich foods, such as blueberry and cocoa, and we predict similar outcomes for moderate Champagne intake on cognition in humans.”
Previous research from the University of Reading revealed that two glasses of champagne a day may be good for your heart and circulation and could reduce the risks of suffering from cardiovascular disease and stroke.
The paper is published in Antioxidants and Redox Signalling.
(Image: Getty)
Laughter perception networks in brain different for mocking, joyful or ticklish laughter
A laugh may signal mockery, humor, joy or simply be a response to tickling, but each kind of laughter conveys a wealth of auditory and social information. These different kinds of laughter also spark different connections within the “laughter perception network” in the human brain depending on their context, according to research published May 8 in the open access journal PLOS ONE by Dirk Wildgruber and colleagues from the University of Tuebingen, Germany.
Laughter in animals is a form of social bonding based on a primordial reflex to tickling, but human laughter has come a long way from these playful roots. Though many people laugh when they’re tickled, ‘social laughter’ in humans can be used to communicate happiness, taunts or other conscious messages to peers. Here, researchers studied participants’ neural responses as they listened to three kinds of laughter: joy, taunt and tickling.
"Laughing at someone and laughing with someone leads to different social consequences," says Wildgruber. "Specific cerebral connectivity patterns during perception of these different types of laughter presumably reflect modulation of attentional mechanisms and processing resources.
The researchers found that brain regions sensitive to processing more complex social information were activated when people heard joyous or taunting laughter, but not when they heard the ‘tickling laughter’. However, ‘tickling laughter’ is more complex than the other types at the acoustic level, and consequently activated brain regions sensitive to this higher degree of acoustic complexity. These dynamic changes activated and connected different regions depending on the kind of laughter participants heard. Patterns of brain connectivity can impact cognitive function in health and disease. Though some previous research has examined how speech can influence these patterns, this study is among the first few to examine non-verbal vocal cues like laughter.
(Image: Bigstock)
How the brain folds to fit
During fetal development of the mammalian brain, the cerebral cortex undergoes a marked expansion in surface area in some species, which is accommodated by folding of the tissue in species with most expanded neuron numbers and surface area. Researchers have now identified a key regulator of this crucial process.
Different regions of the mammalian brain are devoted to the performance of specific tasks. This in turn imposes particular demands on their development and structural organization. In the vertebrate forebrain, for instance, the cerebral cortex – which is responsible for cognitive functions – is remarkably expanded and extensively folded exclusively in mammalian species. The greater the degree of folding and the more furrows present, the larger is the surface area available for reception and processing of neural information. In humans, the exterior of the developing brain remains smooth until about the sixth month of gestation. Only then do superficial folds begin to appear and ultimately dominate the entire brain in humans. Conversely mice, for example, have a much smaller and smooth cerebral cortex.
“The mechanisms that control the expansion and folding of the brain during fetal development have so far been mysterious,” says Professor Magdalena Götz, a professor at the Institute of Physiology at LMU and Director of the Institute for Stem Cell Research at the Helmholtz Center Munich. Götz and her team have now pinpointed a major player involved in the molecular process that drives cortical expansion in the mouse. They were able to show that a novel nuclear protein called Trnp1 triggers the enormous increase in the numbers of nerve cells which forces the cortex to undergo a complex series of folds. Indeed, although the normal mouse brain has a smooth appearance, dynamic regulation of Trnp1 results in activating all necessary processes for the formation of a much enlarged and folded cerebral cortex.
Levels of Trnp1 control expansion and folding
“Trnp1 is critical for the expansion and folding of the cerebral cortex, and its expression level is dynamically controlled during development,” says Götz. In the early embryo, Trnp1 is locally expressed in high concentrations. This promotes the proliferation of self-renewing multipotent neural stem cells and supports tangential expansion of the cerebral cortex. The subsequent fall in levels of Trnp1 is associated with an increase in the numbers of various intermediate progenitors and basal radial glial cells. This results in the ordered formation and migration of a much enlarged number of neurons forming folds in the growing cortex.
The findings are particularly striking because they imply that the same molecule – Trnp1 – controls both the expansion and the folding of the cerebral cortex and is even sufficient to induce folding in a normally smooth cerebral cortex. Trnp1 therefore serves as an ideal starting point from which to dissect the complex network of cellular and molecular interactions that underpin the whole process. Götz and her colleagues are now embarking on the next step in this exciting journey - determination of the molecular function of this novel nuclear protein Trnp1 and how it is regulated. (Cell 2013)
(Source: en.uni-muenchen.de)
Drug Could Improve Working Memory of People with Autism
People with an Autism Spectrum Disorder (ASD) often have trouble communicating and interacting with others because they process language, facial expressions and social cues differently. Previously, researchers found that propranolol, a drug commonly used to treat high blood pressure, anxiety and panic, could improve the language abilities and social functioning of people with an ASD. Now, University of Missouri investigators say the prescription drug also could help improve the working memory abilities of individuals with autism.
Working memory represents individuals’ ability to hold and manipulate a small amount of information for a short period; it allows people to remember directions, complete puzzles and follow conversations. Neurologist David Beversdorf and research neuropsychologist Shawn Christ found that propranolol improves the working memory performance of people with an ASD.
“Seeing a tiger might signal a fight or flight response. Nowadays, a stressor such as taking an exam could generate the same response, which is not helpful,” said Beversdorf, an associate professor in the Departments of Radiology and Neurology in the MU School of Medicine. “Propranolol works by calming those nervous responses, which is why some people benefit from taking the drug to reduce anxiety.”
Propranolol increased working memory performance in a sample of 14 young adult patients of the MU Thompson Center for Autism and Neurodevelopmental Disorders but had little to no effect on a group of 13 study participants who do not have autism. The researchers do not recommend that doctors prescribe propranolol solely to improve working memory in individuals with an ASD, but patients who already take the prescription drug might benefit.
“People with an Autism Spectrum Disorder who are already being prescribed propranolol for a different reason, such as anxiety, might also see an improvement in working memory,” said Christ, an associate professor in the Department of Psychological Sciences in the MU College of Arts and Science.
Future research will incorporate clinical trials to assess further the relationship between cognitive and behavioral functioning and connectivity among various regions of the brain.
The study, “Noradrenergic Moderation of Working Memory Impairments in Adults with Autism Spectrum Disorder,” was published in the Journal of the International Neuropsychological Society. Kimberly Bodner, a psychological sciences doctoral student at MU, and Sanjida Saklayen from the Ohio State University College of Medicine co-authored the study.
Training the Brain to Improve on New Tasks
A brain-training task that increases the number of items an individual can remember over a short period of time may boost performance in other problem-solving tasks by enhancing communication between different brain areas. The new study being presented this week in San Francisco is one of a growing number of experiments on how working-memory training can measurably improve a range of skills – from multiplying in your head to reading a complex paragraph.
(Image: Nelson Marques)
“Working memory is believed to be a core cognitive function on which many types of high-level cognition rely, including language comprehension and production, problem solving, and decision making,” says Brad Postle of the University of Wisconsin-Madison, who is co-chairing a session on working-memory training at the Cognitive Neuroscience Society (CNS) annual meeting today in San Francisco. Work by various neuroscientists to document the brain’s “plasticity” – changes brought about by experience – along with technical advances in using electromagnetic techniques to stimulate the brain and measure changes, have enabled researchers to explore the potential for working-memory training like never before, he says.
The cornerstone brain-training exercise in this field has been the “n-back” task, a challenging working memory task that requires an individual to mentally juggle several items simultaneously. Participants must remember both the recent stimuli and an increasing number of stimuli before it (e.g., the stimulus “1-back,” “2-back,” etc). These tasks can be adapted to also include an audio component or to remember more than one trait about the stimuli over time – for example, both the color and location of a shape.
Through a number of experiments over the past decade, Susanne Jaeggi of the University of Maryland, College Park, and others have found that participants who train with n-back tasks over the course of approximately a month for about 20 minutes per day not only get better at the n-back task itself, but also experience “transfer” to other cognitive tasks on which they did not train. “The effects generalize to important domains such as attentional control, reasoning, reading, or mathematical skills,” Jaeggi says. “Many of these improvements remain over the course of several months, suggesting that the benefits of the training are long lasting.”
As yet unresolved and controversial, however, has been understanding which factors determine whether working-memory training will generalize to other domains, as well as how the brain changes in response to the training. Work by Postle’s group using a new technique of applying electromagnetic stimulation on the brains of people undergoing working-memory training addresses some of these questions.
Training increases connectivity
Bornali Kundu of the University of Wisconsin-Madison, who works in Postle’s laboratory, used transcranial magnetic stimulation (TMS) with electroencephalography (EEG) to measure activity in specific brain circuits before and after training with an n-back task. “Our main finding was that training on the n-back task increased the number of items an individual could remember over a short period of time,” explains Kundu, who is presenting these new results today. “This increase in short-term memory performance was associated with enhanced communication between distant brain areas, in particular between the parietal and frontal brain areas.”
In the n-back task, Kundu’s team presented stimuli one-at-a-time on a computer screen and asked participants to decide if the current stimulus matched both the color and location of the stimulus presented a certain number of presentations previously. The color varied among seven primary colors, and the location varied among eight possible positions arranged in a square formation. The control task was playing the video game Tetris, which involves moving colored shapes to different locations, but does not require participants to remember anything. Before and after the training, researchers administered a range of cognitive tasks on which subjects did not receive training, and simultaneously delivered TMS while recording EEG, to measure communication between brain areas during task performance.
After practicing the n-back task for 5 hours a day and 5 days per week over 5 weeks, subjects were able to remember more items over short periods of time. Importantly, for those whose working memory improved, communication between the dorsolateral prefrontal cortex (DLPFC) and parietal cortex also improved. “This is in comparison to the control group, who showed no such differences in neural communication after practicing Tetris for 5 weeks,” Kundu says.
Working-memory training also produced improvement on cognitive tasks for which participants were not trained that are also believed to rely on communication between the parietal cortex and DLPFC. For two of these tasks – the ability to detect a change in a briefly presented array of squares, and the ability to detect a red letter “C” embedded in a field of distracting stimuli of rotated red “C”s and blue “C”s – those who had trained in the n-back test also showed a decrease in task-related EEG. The training exercise had registered a similar decrease. “The overall picture seems to be that the extent of transfer of training to untrained tasks depends on the overlap of neural circuits recruited by the two,” Kundu says.
Developing future therapies
Moving forward, many cognitive neuroscientists are working to see how working-memory training may specifically help clinical populations, such as patients with ADHD. “If we can learn the ‘rules’ that govern how, why, and when cognitive training can produce improvements that generalize to untrained tasks, it may be that therapies can be developed for patients suffering from neurological or psychiatric disease,” Postle says.
Both Jaeggi’s team, as well as Torkel Klingberg of the Karolinska Institute in Sweden, who is also presenting at the symposium today in San Francisco, have had success with such training for children with ADHD, decreasing the symptoms of inattention. “Here, the reason working-memory training may transfer to tests of fluid intelligence, as well as to a reduction in ADHD-associated hyperactivity symptoms, may be because both of those complex behaviors use some of the same brain circuits also used in performing the working-memory training tasks,” Kundu says.
“Individual differences in working memory performance have been related to individual differences in numerous real world skills such as reading comprehension, performance on standardized tests, and much more,” she adds. “I would not expect the same sorts of transfer effects that have been seen with working-memory training to happen if an individual practiced a task that used a minimally overlapping network, such as, for example, shooting three-pointers – which presumably uses different brain areas like primary and secondary motor cortex and the cerebellum.”
Jaeggi says that it is important to understand that cognitive abilities are not as unchangeable as some might think. “Even though there is certainly a hereditary component to mental abilities, that does not mean that there are not also components that are malleable and respond to experience and practice,” she says. “Whereas we try to strengthen participants’ working memory skills in our research, there are other routes that are possible as well, such as for example physical or musical training, meditation, nutrition, or even sleep.”
Despite all the promising research, Jaeggi says, researchers still need to understand many aspects of this work, such as “individual differences that influence training and transfer effects, the question of how long the effects last, and whether and how the effects translate into more real-world settings and ultimately, academic achievement.”
(Source: cogneurosociety.org)
Scientists discover how brains change with new skills
The phrase “practice makes perfect” has a neural basis in the brain. Researchers have discovered a set of common changes in the brain upon learning a new skill. They have essentially detected a neural marker for the reorganization the brain undergoes when a person practices and become proficient at a task.
Successful training not only prompts skill-specific changes in the brain, but also more global changes that are consistent across many different types of skills training, the researchers report in the journal Neurorehabilitation and Neural Repair. Their results indicate that as you become more adept at a skill, your brain no longer needs to work as hard at it. The brain, they report, shifts from more controlled to more automatic processing as a skill is learned, regardless of the specific type of training, they said.
“The training-related changes we found – that signify a shift to a more ‘efficient’ configuration of brain networks – provide a potential new brain marker for training effectiveness,” said neuroscientist Nathan Spreng, assistant professor of human development and the Rebecca Q. and James C. Morgan Sesquicentennial Faculty Fellow in Cornell’s College of Human Ecology. “Such neural markers are increasingly being used to inform the design of new or more-targeted interventions to improve cognitive and motor functioning in aging, brain injury or disease,” he added.
The study is the most comprehensive review of the neural correlates of training to date and the first to associate training with alterations in large-scale brain networks, said Spreng, who was awarded the distinction of “rising star” in March by the Association for Psychological Science.
The researchers conducted a systematic meta-analysis of 38 neuroimaging studies of cognitive and motor skills training interventions in healthy young adults – more than 500 participants in all. Using a quantitative literature review method, they analyzed functional neuroimaging data and mapped the patterns of brain activity changes before and after the training across the individual experiments.
The researchers found that the brain regions that are involved in attention-demanding activities are less active after training compared with before, whereas the brain regions that typically are at rest (known as the default network), became more active.
Specifically, training resulted in decreased activity in brain regions involved in effortful control and attention that closely overlap with the frontoparietal control and dorsal attention networks. Increased activity was found after training, however, in the default network that is involved in self-reflective activities, including future planning or even day dreaming. Thus, skill mastery is associated with increased activity in areas not engaged in skill performance, and this shift can be detected in the large-scale networks of the brain.
“The power of meta-analysis methods to systematically and quantitatively review neuroimaging studies makes possible discoveries such as ours that can provide new insights into how the brain functions; this helps us lay the foundation for better treatments of brain disorders in the future,” said Spreng.
“There have now been over 100,000 neuroimaging papers published, so these types of meta-analytic reviews offer new opportunities to identify common patterns of brain activity across a larger and more diverse array of studies,” he added.
(Image: iStockphoto)