Tuesday, 10 April 2012
Monday, 27 February 2012
Mirror Neurons by Martha Burns, Ph.D
What is a parent to do to get a child’s brain started out on the right path – to be able to concentrate on one task for extended periods, be able to handle rapidly changing information, and be flexible enough to switch tasks easily?
Well, it turns out the human brain seems to have a strategy: by developing two core capacities during the first few years of life, interactive play and language, the brain seems to become uniquely equipped to build a range of cognitive capacities. Recent research suggests that a specific area in the frontal lobe – ‘the doing part of the brain’ - begins to wire itself very early in development through imitation of the movements and sounds made by others. This area, the so-called mirror neuron region, allows an infant to watch or listen to other people and respond with imitative or complementary movements or sounds.
Because this area is the same region, in the left hemisphere, that is responsible for fluent, easy articulated, speech, researchers have speculated that it might have been an evolutionary starting point for development of human language. But, because it is also active in the right hemisphere, it seems to play an important role in social, and perhaps athletic, interaction. In fact, Miella Dapretto and her colleagues at UCLA recently reported research showing that children with autism spectrum disorders, which include a range of disturbances that impact, among other things, social skill development, have observable deficiencies in the mirror neuron system.
There is reason to speculate, based on the research now available, that exercising the mirror system in general, can build a brain that is better equipped for socialization, school, music and athletics. At this time existing research has demonstrated that exercising Broca’s area of the brain (and other areas that are connected to this area through complex cognitive networks), either through natural parental stimulation in infants or through intense specific practice in school-aged children or adults, one can systematically build a brain that is better equipped for many cognitive tasks including language, reading, writing, and math as well as remediate a brain that seems to have deficits or learning disabilities in one or more of these areas.
Every time a parent plays a game like “Patty-cake, Patty-cake” where the child and parent duplicate a routine with actions and a poem or song, the parent is helping the child to exercise the mirror neuron system. Parents have been doing these action/nursery sequences for years, and there are many similar routines in many cultures. Examples of “mirror neuron” routines that have been around and passed on for generations in Western cultures include – “So Big!” where a parent ask the child something like, “How big are you?” and the child and parent respond together holding up their arms in like fashion, “SO BIG!” or, with older children, “Eensie Weensie Spider” where parent and child imitate each other by alternately touching the thumb of one hand to the forefinger of the other hand to emulate the spider climbing up a water spout.
The wonderful thing about these types of routines is that they illustrate how intuitive parents have been for centuries, at identifying and exploiting the natural directions and priorities of brain development. What worries many of us in neuroscience is when parents abandon these time-tested and intuitive interactions with our young children, swayed by technological advances that enhance productivity and drive positive cognitive changes in a mature brain but by abandoning natural parental interactive routines may actually jeopardize the delicate balance of stimulation in the developing brain.
We must exercise caution when adults develop products that appeal to parents with names that inspire confidence like, “Baby Einstein”, if the products have not been subjected to reasonable controlled studies that will help us understand the impact of these activities on young brains. Most companies that develop products for young children do not conduct this type of research because the assumption is that toys and play activities that engage infants and keep them entertained are not harmful. But, unfortunately, that assumption is not warranted. Many of us who put our children in “walkers” or “swings” in the latter part of the twentieth century learned that these “toys” had unintended consequences (i.e., negative effects, on early motor development).
As developmental neuroscientists and other specialists have begun to understand the implications, both positive and negative, of early stimulation on later brain development, those of us in the sciences need to better inform parents and “toy” makers may need to attempt more accountable to parents. In all fairness, however, it may be unreasonable to expect toy makers to conduct independent controlled research studies that we have not even demanded of drug companies. So, the view held by many scientists is that an educated parent can look beyond the hype of advertising and provide for the young child in their care, a fostering environment that is calmly yet convincingly brain-enhancing.
For Further Reading:
The Mirror Neuron System and the Consequences of Its Dysfunction. Marco Iacoboni and Mirella Depretto. Nature Reviews | Neuroscience Volume 7, December 2006
The Mirror Neuron System is More Active During Complementary Compared with Imitative Action. Roger Newman-Norlund, Hein T van Schie, Alexander M J van Zuijlen, and Harold Bekkering. Nature Neuroscience Vol. 10, May 2007
Using Human Brain Lesions to Infer Function: A Relic from a Past Era in the fMRI age? Chris Rorden and Hans-Otto Karnath. Nature Reviews | Neuroscience Vol. 5, October 2004
Understanding Emotions in Others: Mirror Neuron Dysfunction in Children with Autism Spectrum Disorders. Mirella Depretto, Mari S. Davies, Jennifer H. Pfeifer, Ashley A. Scott, Marian Sigman, Susan Y. Bookheimer, and Marco Iacoboni. Nature Neuroscience Vol. 9, December 2005
Social Intelligence: The New Science of Human Relationships. Daniel Goleman. NY, NY: Bantam Books, 2006.
Neural Plasticity: The Effects of Environment on the Development of the Cerebral Cortex (Perspectives in Cognitive Neuroscience). Peter R. Huttenlocher. Cambridge, MA: Harvard University Press, 2002
Neural Mechanisms of Selective Auditory Attention are Enhanced by Computerized Training: Electrophysiological Evidence from Language-Impaired and Typically Developing Children. Courtney Stevens, Jessica Fanning, Donna Coch, Lisa Sanders,and Helen Neville. Brain Research Vol. 1205, April 2008.
Thursday, 16 February 2012
The truth about video games and the brain, by Bill Jenkins Ph.D
We’ve all seen the news reports, but how do video games really affect the brain? The short answer is this: researchers are working on it. While a great many studies have been done, science has a long way to go before we fully understand the impact video games can have.
The brain is a malleable, “plastic” structure that can change and evolve with every stimulus we give it. Whether that stimulus comes from listening to Tchaikovsky, studying Spanish, training in karate, or jumping through the mushroom kingdom in Super Mario Bros. Wii, every single input can affect the wiring of the brain if the conditions are right.
In a December 2011 article in Nature Reviews Neuroscience, six experts in neuroscience and cognitive psychology – Daphne Bavelier, C. Shawn Green, Doug Hyun Han, Perry F. Renshaw, Michael M. Merzenich and Douglas A. Gentile – offer their perspectives on frequently asked questions related to the effects of video games on the brain:
Are there beneficial effects of video games? Does evidence point to improvements in cognitive function? Given the wide variety of game types and the tasks they demand of the brain, this is an extremely complex and layered issue. Han and Renshaw cite studies indicating that game play may improve visual-spatial capacity, visual acuity, task switching, decision making and object tracking. In perception, gaming has been shown to enhance low-level vision, visual attention, processing speed and statistical inference. These skills are not necessarily general improvements in cognitive functioning, but specific skills transferrable to similar tasks. (Gentile)
Does playing video games have negative effects on the brain and behavior? On this issue, the jury is essentially unanimous: intensive play of high-action games has been shown to have negative cognitive effects. Merzenich references studies that indicate such games can create “listlessness and discontent in slower-paced and less stimulating academic, work or social environments.” Research has drawn connections between playing more violent games and an increase in more aggressive thoughts. Games with anti-social or violent content “have been shown to reduce empathy, to reduce stress associated with observing or initiating anti-social actions, and to increase confrontational and disruptive behaviors in the real world.” (ibid)
How strong is the evidence that video games are addictive? While strong evidence is mounting, research is proceeding but still incomplete. According to Han and Renshaw, investigations suggest that “brain areas that respond to game stimuli in patients with on-line game addiction are similar to those that respond to drug cue-induced craving in patients with substance dependence.” In addition, they state that gaming dependence has been shown to create “dysfunction in five domains: academic, social, occupational, developmental and behavioral.” While gaming addiction may differ from other types of addiction, it clearly appears to be a very real issue.
What should the role of video games be in education and rehabilitation? Again, if we come back to the underlying fact that any stimulus can change the brain under the right conditions, video games – a source of stimuli – certainly have a role to play in these areas. The question is, what stimuli are beneficial to which individuals, and how can we customize the gaming experience to give the learner or patient the stimuli that they most need at a given moment? Adaptive technologies that track a user’s responses and present follow-up material based on those response patterns, especially when wielded by an experienced educator or clinician, offer immense potential.
The last question these experts address is: Where is neuroscience headed in this field? Clearly, studies have shown that video games affect and change the brain, both for ill as well as for good. Some researchers, such as neuroscientist Paul Howard-Jones of Bristol University, are already experimenting with ways to harness computer gaming to enhance classroom learning. Future studies are likely to uncover both detrimental effects of video games and significant benefits of their employment as learning and rehabilitation tools.
“Because of their great didactic efficiencies,” says Merzenich, “and because of brain plasticity-based exercises can improve the performance characteristics of the brain of almost every child, these new game-like tools shall be at the core of a schooling revolution.”
For Further reading:
Brains on Video Games. Daphne Bavelier, C. Shawn Green, Doug Hyun Han, Perry F. Renshaw, Michael M. Merzenich and Douglas A. Gentile. Nature Reviews | Neuroscience. Vol. 12, December 2011.
Harnessing Gaming for the Classroom. D.D. Guttenplan. New York Times Europe, January 29, 2012.
Monday, 9 January 2012
Using the Power of Optimal Timing to Improve the Brain's Ability to Learn. Bill Jenkins, Ph.D
Learning is both a behavioral and biological process that is supported by the neurons in the brain over time.
When we learn, our brain cells physically change in response to stimulation, forming pathways to facilitate the connections we use repeatedly. For example, if you meet a person only once, you might not remember their name or recognize their face if you were to run into them on the street ten years on. On the other hand, if you see that person every day for a year, you will likely be able to recognize their face and remember their name much more readily should you not see that person for a long period of time.
Learning processes like these in the brain take predictable, measured amounts of time. While these rates will vary from person to person and nervous system to nervous system, we can depend upon certain relatively constant timeframes for learning and processing an understanding of some of these timeframes can allow educators to take maximum advantage of them. That’s why the Fast ForWord® products function on each of these scales by design, using the power of optimal timing to improve the brain’s ability to learn.
Learning depends upon a specific feedback loop characterized by timing between stimulus, response and reward [i]. Here are some of those timescales, along with how Fast ForWord works within each:
- Milliseconds: Auditory processing happens on the millisecond timescale. Fast ForWord helps improves auditory processing rate to ensure that students are able to “keep up” with auditory input such as spoken directions from their teacher.
- Seconds: Reinforcement learning happens on a scale of seconds and is achieved by interacting with one’s surroundings. The Fast ForWord program’s reward system is based on this time scale, delivering rewards to students at just the right moment to maximize reinforcement learning, helping students get the most benefit from the program.
- Minutes: Our actions change based on how we perceive our surroundings. This kind of adaptation can take minutes. As students move through Fast ForWord exercises, they can see their performance results changing minute by minute. Being able to see such improvement helps motivate students toward greater learning. In other words, as they perceive the positive results of their actions, students adapt and learn to generate more of those positive results.
- Days or Weeks: Consolidation and maturation of memories can take days or weeks. When a student overcomes an obstacle in Fast ForWord, their confidence is strengthened and they not only learn the material, but they learn about their own capabilities and what success feels like. The memories of such experiences and the associated feelings – gathered and built upon over the days, weeks and months – lay the foundation to spur them on to future success. Such success in the classroom can lead to a greater drive to perform well in other areas, such as doing well on a test, winning on the athletic field, or successfully completing that college application. We cannot underestimate the power of experiencing success and the sensation that it creates.
In the classroom, having an awareness of how long it takes for a student to assimilate and process certain kinds of information can add an entirely different rhythm to our instruction. In having such an understanding of how the brains of our students work, we can time our teaching to optimize learning and help our students achieve maximum success.
References:
[i] Why Time Matters Temporal Dynamics of Learning Center. University of California San Diego
Related Reading:
Thursday, 24 November 2011
Longitudinal study shows significant Fast ForWord gains over time by Melissa Agocs
Every spring, the Criterion-Referenced Competency Tests, abbreviated CRCT, are administered to students in Georgia, USA. The CRCT is designed to measure how well students acquire the skills and knowledge described in the Georgia Performance Standards.
Students are tested in reading, English/language arts and mathematics. This summary will concentrate on the reading results from the Clarke County School District in Georgia. The CRCT is given every spring to all students in grades 1-8, and the students included in this study were first through eighth graders during the time of the study.
A longitudinal study is a type of study that follows the same subjects over time. Clarke County students who used the Fast ForWord products generally started with the Fast ForWord® Language or Fast ForWord® Literacy series, with students then progressing through the Fast ForWord® Reading series. Students started on the products during different years, with some starting as early as the 2006-2007 school year, and others starting aslate as the 2010-2011 school year.
The first wave of Fast ForWord participants at Clarke County started using the products in the fall of 2006 and made statistically significant improvements on the spring 2007 CRCT with continued improvements in 2008 and the following years. Students in the second wave started using the products in the fall of 2007 and made statistically significant improvements on the spring 2008 CRCT.
After a third group started in 2008 school year, the group’s CRCT scores significantly increased and then continued to go up. Similarly, students who began using the products in 2009 and 2010 also started to show increases in their reading scores after Fast ForWord participation.
Each cohort exhibits a similar pattern in that after Fast ForWord participation started, on average, the group showed a steady increase in their CRCT reading scores with each passing year.
Looking at the students who started using Fast ForWord products in 2010, there was an increase in the percentage of students reaching reading proficiency, with 55% of students who were not proficient in 2010 crossing the proficiency threshold in 2011.
In addition to longitudinal results, data were also analyzed for certain demographic groups, including students who were receiving Special Education services and students with Limited English Proficiency. Both groups achieved statistically significant improvements on the CRCT Reading Test after Fast ForWord participation.
If you have questions on this study or any other Fast ForWord study, please feel free to contact our Customer Service Team.
Related Reading:
Monday, 14 November 2011
Modeling Healthy Choices: Three Habits for Optimal Brain Health by Bill Jenkins Ph.D
Isaac Asimov said, “The human brain…is the most complicated organization of matter that we know.”[i] And it’s true. Our amazing brains are both a product of biological evolution and a reflection of the world around us.
First, the stuff of the brain – grey matter, white matter, fluids, blood vessels – is made up of nutrients from the plants and animals we consume from the world around us.
Second, in terms of brain function, our interaction with our environment has a major impact on both brain structure and brain health. Extensive and ongoing research into “brain plasticity” has proven that everything we experience, everything we see or touch or hear, creates a perception that changes the wiring of the brain itself.
Given that our brains are a product of evolution (which is outside of our control) and environment (which is only partially under our control, and often less than ideal), how can we keep our brains as healthy as possible, from birth all the way through old age?
The pathway to optimal brain health comes from the small choices we make every day. By making healthy choices on a regular basis, and particularly by turning those choices into habits, we can help our brains stay healthy while also helping the young people in our lives learn positive self-care skills that can last a lifetime.
Here are three important steps everyone can take toward optimal brain health:
- Eating more healthy foods and minimizing unhealthy foods. Eating foods that provide nutrients to build healthy brain tissues is essential. Foods high in omega-3 fatty acids, such as salmon, avocados and nuts, along with foods high in potassium like bananas promote brain function. Also, lowering our intake of sodium can reduce blood pressure, a factor that can, if left unchecked, lead to stroke.
- Engaging in regular physical exercise. Like every other organ and tissue in the body, the brain needs healthy blood flow to function at its highest possible levels. Physical exercise helps improve and maintain cardio vascular health, allowing the body to efficiently and effectively deliver oxygen and nutrients to the brain. But it can do more for us. In students, educators have reported physical exercise resulting in less disruptive behavior, higher self esteem, less anxiety and greater attentiveness. Dr. John Ratey of Harvard University describes exercise as “food for the brain.”
- Giving your brain practice in the activities you want it to be good at. The neural pathways that our brains create over time, as we have said, are a direct result of the stimuli that we receive. That’s why through practice and training, a child can work to shape their brain into that of a great musician or mathematician or martial artist. At the same time, we must remember that negative input also affects our wiring. For example, excessive amounts of watching television and playing video games has been shown to have concerning chemical and biological effects, such as the suppression of melatonin release, elevated blood cholesterol and an increased chance of coronary heart disease – and these effects should be taken into consideration as we make decisions about how we spend our time.
The brain might be the most complicated organization of matter we know of, but that doesn’t make it difficult to keep healthy. By learning to choose the right foods, the right activities, and the right input, we can each take control – at any age – of building the brains we want.
Children can begin learning to make good choices from the earliest ages, but it is up to parents and teachers to model these healthy habits of mind.
Yes, that means you.
References:
[i] J. Hooper and D. Teresi. The Three-Pound Universe. Macmillan Publishing Company. 1st edition 1986.
Related Reading:
Monday, 31 October 2011
Left vs. Right: What Your Brain Hemispheres Are Really Up To by Martha Burns Ph.D
In the 1980’s, brain researchers viewed the two sides of the brain as dichotomously opposed: the right hemisphere was seen as a gestalt processor, good at “seeing the big picture,” while the left hemisphere was attributed with detail processing skills. Other views at that time attributed the left hemisphere with being more logical and analytical while the right hemisphere was considered more intuitive.[i]
Some went so far as asserting that men and women exhibited different right vs. left preferences: men were attributed with stronger left hemisphere skills and women better right hemisphere skills. Although this male-female distinction was never empirically verified through research, the somewhat “pop-psychology” view that the right hemisphere is important for skills like music and art, predominated. In fact, there were books written instructing individuals on how to “draw with the right hemisphere” or how to “teach to the right hemisphere”.[ii]
It now appears that some of these notions need to be revised. A current view is that, for the majority of us, the right hemisphere is a pattern recognizer that may develop before the left. From this perspective, the right hemisphere enables a child to attend to and appreciate the gist of a sensory experience within each cognitive domain. For example, in acquisition of mathematical concepts, the right hemisphere may enable a young child to appreciate quantities in terms of more vs. less prior to assigning numerical values to the quantities (which would involve left hemisphere skills). There is research demonstrating that babies can discern a group of dots in terms of general aspects of quantity.[iii]
Patricia Kuhl at University of Washington in Seattle has shown that typically developing infants show an interest in human voices over other environmental sounds like a car horn or doorbell, and direct their attention to human voice when it conveys information that is interesting.[iv]Ultimately this may lead to an understanding of how the melody of a voice is used to convey a person’s intent. In other words, recent research suggests that the right hemisphere may be best at processing patterns like voice contour, facial expression, aspects of size and quantity, gestalt aspects of the world which, from a developmental perspective, represent the way children begin to learn about cognitive areas like music, art, mathematics or language.
Considering the cognitive domain of music, for example, the right hemisphere appears to have a fundamental preference for recognizing melody, which allows a young infant to be interested in and ultimately reproduce early nursery songs. In the realm of visual processing, the right hemisphere has been shown to be better at perceiving the form or outline of an object than the details contained within the object.[v]. And, similarly, although many people regard the left hemisphere as dominant for language, newer research has shown that the right hemisphere is superior at processing information like vocal inflection (prosody), and perhaps going directly from word to meaning, especially in very familiar phrases like idiomatic expressions (eg., “it is raining cats and dogs”) while the left hemisphere is more important for processing aspects of language that depend on analyzing the specific sequence of the sounds and words which are essential for understanding grammatical form of language and perceiving internal details of words.[vi]
Several neuroscientists have accordingly revised and expanded the early right-left dichotomy to see the right hemisphere as preferential in processing form, structure, and perhaps, direct links to emotion,[vii] while the left hemisphere handles complex, rapidly changing stimuli, in which discerning the specific sequential order is critical to perception (as in speech perception, for example, where one must discern and order very rapidly changing complex acoustic events very quickly.)[viii]
Another revision to the older view of right versus left hemisphere complements the view that the right hemisphere is preferential for pattern analysis, and comes from developmental neuroscience which has reported research that supports the contention that for most cognitive skills the right hemisphere matures before the left.[ix] This certainly seems to the case when one looks at the early stages of neuronal development and migration in the fetal brain,[x] and also the building of early axonal superhighways, as well as the research on myelination.[xi] In fact, it may be that when this typical right to left maturation does not occur, developmental neurological abnormalities result. For example, there is some early research evidence that Autism Spectrum Disorders may represent one example of developmental deviations in this typical right-to-left developmental hierarchy.[xii]
Although it may seem somewhat of a stretch from the early research in this area, one can observe how this organization might be reflected in early childhood development in the stages children pass through in the gradual mastery of skills. For example, when a child first begins to enjoy music, the observant adult notices that the child moves his or her whole body to the musical rhythm. For nursery songs, like “Twinkle Twinkle Little Star” the child often begins by humming the melodies. In both cases, this may represent right hemisphere processing.
In most cases, it will be a few years before the child will be able to read musical symbols which would presumably involve more left hemisphere skill. We do have research that shows that when three month old babies are first listening to oral language, the right hemisphere is much more active than the left.[xiii] Patricia Kuhl has shown that mothers instinctively seem to match their speech to babies’ early developing perceptual preferences by exaggerating melodic inflection with young babies, probably reflecting their intuitive knowledge that they need to exaggerate the language cues (intonational contour and vocal inflection) that the right hemisphere seems to process preferentially while deemphasizing the production of the speech sounds themselves (left hemisphere preferences).[xiv]
[i] Deutsch, Georg and Sally P. Springer. Left Brain, Right Brain: Perspectives From Cognitive Neuroscience . W.H. Feeman and Company/Worth Publishers. 2001.
[ii] Edwards, Betty. Drawing on the Right Side of the Brain. Penguin Putnam Press. 1999.
[iii] Xu, Fei et al. (2005) Number sense in human infants. Developmental Science. Vol. 8. 2005.
[iv] Kuhl, Patricia. Early Language Acquisition: Cracking the Speech Code. Nature Reviews Neuroscience. Vol 5. 2005.
[v] Devinsky, Orrin and Mark D’Esposito. Neurology of Cognitive and Behavioral Disorders. Oxford University Press. 2004.
[vi] Hickok, Gregory and David Poeppel. The Cortical Organization of Speech Processing. Nature Reviews Neuroscience. 2007.
[vii]Cahill, L. et al. Sex-Related Hemispheric Lateralization of Amygdala Function in Emotionally Influenced Memory: An fMRI Investigation. Learning and Memory. Vol. 11: 261-266. 2004
[viii] Tallal, Paula. Improving Language and Liteacy is a Matter of Time. Nature Reviews Neuroscience Vol. 5. 2004.
[ix] Huttenlocher, Peter. Morphometric Study of Human Cerebral Cortex Development.Neuropsychologia. Vol. 28. 1990.
[x] Galaburda, Albert et al. From Genes to Behavior in Developmental Dyslexia. Nature Neuroscience Vol 9. 2006.
[xi] Herbert, Martha et al. Brain Asymmetries in Autism and Developmental Language Disorder: A Nested Whole-Brain Analysis. Brain: A Journal of Neurology.2004.
[xii] Herbert, Martha et al. Ibid.
[xiii] Hickock, Gregory and David Poeppel. Ibid.
[xiv] Kuhl, Patricia. Ibid.
[ii] Edwards, Betty. Drawing on the Right Side of the Brain. Penguin Putnam Press. 1999.
[iii] Xu, Fei et al. (2005) Number sense in human infants. Developmental Science. Vol. 8. 2005.
[iv] Kuhl, Patricia. Early Language Acquisition: Cracking the Speech Code. Nature Reviews Neuroscience. Vol 5. 2005.
[v] Devinsky, Orrin and Mark D’Esposito. Neurology of Cognitive and Behavioral Disorders. Oxford University Press. 2004.
[vi] Hickok, Gregory and David Poeppel. The Cortical Organization of Speech Processing. Nature Reviews Neuroscience. 2007.
[vii]Cahill, L. et al. Sex-Related Hemispheric Lateralization of Amygdala Function in Emotionally Influenced Memory: An fMRI Investigation. Learning and Memory. Vol. 11: 261-266. 2004
[viii] Tallal, Paula. Improving Language and Liteacy is a Matter of Time. Nature Reviews Neuroscience Vol. 5. 2004.
[ix] Huttenlocher, Peter. Morphometric Study of Human Cerebral Cortex Development.Neuropsychologia. Vol. 28. 1990.
[x] Galaburda, Albert et al. From Genes to Behavior in Developmental Dyslexia. Nature Neuroscience Vol 9. 2006.
[xi] Herbert, Martha et al. Brain Asymmetries in Autism and Developmental Language Disorder: A Nested Whole-Brain Analysis. Brain: A Journal of Neurology.2004.
[xii] Herbert, Martha et al. Ibid.
[xiii] Hickock, Gregory and David Poeppel. Ibid.
[xiv] Kuhl, Patricia. Ibid.
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