Timing Training in Female Soccer Players: Effects on Skilled Movement Performance and Brain Responses

Timing Training in Female Soccer Players: Effects on Skilled Movement Performance and Brain Responses. Frontiers in Human Neuroscience. Article link.

Marius Sommer, Charlotte K. Häger, Carl Johan Boraxbekk and Louise Rönnqvist

Abstract

Although trainers and athletes consider “good timing skills” critical for optimal sport
performance, little is known in regard to how sport-specific skills may benefit from timing training. Accordingly, this study investigated the effects of timing training on soccer skill performance and the associated changes in functional brain response in elite- and sub-elite female soccer players. Twenty-five players (mean age 19.5 years; active in the highest or second highest divisions in Sweden), were randomly assigned to either an experimental- or a control group. The experimental group (n = 12) was subjected to a 4-week program (12 sessions) of synchronized metronome training (SMT). We evaluated effects on accuracy and variability in a soccer cross-pass task. The associated brain response was captured by functional magnetic resonance imaging (fMRI) while watching videos with soccer-specific actions. SMT improved soccer cross-pass performance, with a significant increase in outcome accuracy, combined with a decrease in outcome variability. SMT further induced changes in the underlying brain response associated with observing a highly familiar soccer-specific action, denoted as decreased activation in the cerebellum post SMT. Finally, decreased cerebellar activation was associated with improved cross-pass performance and sensorimotor synchronization. These findings suggest a more efficient neural recruitment during action observation after SMT. To our knowledge, this is the first controlled study providing behavioral and neurophysiological evidence that timing training may positively influence soccer-skill, while strengthening the action-perception coupling via enhanced sensorimotor synchronization abilities, and thus influencing the underlying brain responses.

Conclusion

In summary, this is the first controlled study demonstrating that improved motor timing and multisensory integration, as an effect of SMT, also is associated with changes in functional brain response. The present study provides both behavioral and neurophysiological evidence that timing training positively influences soccer-skill, strengthens the action-perception coupling by means of enhanced sensorimotor synchronization abilities, and affect underlying brain responses. These findings are in accordance with the idea that SMT may result in increased brain communication efficiency and synchrony between brain regions (McGrew, 2013), which in the present study was evident by reduced activation within brain areas important for temporal planning, movement coordination and action recognition and understanding (cerebellum). Also, our results complement findings indicating that the cerebellum plays an important role in the action-perception coupling (Christensenetal.,2014),and confirm recent theories supporting a cognitive-perceptual role of the cerebellum (e.g., Roth et al., 2013).Probing the influence of timing training on the underlying brain activation during soccer specific action observation is an important approach as it provides a window into the brain plasticity associated with non-task specific (timing) training, and to the underlying brain activation of skilled performance. The present study suggests that the underlying brain activation during action observation, which is claimed to be important for action recognition and understanding (e.g., Rizzolatti and Craighero, 2004), may be influenced in other ways than through task-specific training (e.g., Calvo-Merino et al., 2005) or observational learning (e.g., Cross et al., 2013). Such knowledge of how SMT may alter brain activity within regions facilitating the action perception coupling is likely important for enhancing training techniques within sports, as well as for developing new rehabilitative techniques for many clinical populations.



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Interactive Metronome study: Clapping in time parallels literacy and calls upon overlapping neural mechanisms in early readers

Clapping in time parallels literacy and calls upon overlapping neural mechanisms in early readers

Annals of the New York Academy Of Science. Article link here.

Link to complete paper at IM site.

Silvia Bonacina Jennifer Krizman Travis White‐Schwoch Nina Krau

Abstract

The auditory system is extremely precise in processing the temporal information of perceptual events and using these cues to coordinate action. Synchronizing movement to a steady beat relies on this bidirectional connection between sensory and motor systems, and activates many of the auditory and cognitive processes used when reading. Here, we use Interactive Metronome, a clinical intervention technology requiring an individual to clap her hands in time with a steady beat, to investigate whether the links between literacy and synchronization skills, previously established in older children, are also evident in children who are learning to read. We tested 64 typically developing children (ages 5–7 years) on their synchronization abilities, neurophysiological responses to speech in noise, and literacy skills. We found that children who have lower variability in synchronizing have higher phase consistency, higher stability, and more accurate envelope encoding—all neurophysiological response components linked to language skills. Moreover, performing the same task with visual feedback reveals links with literacy skills, notably processing speed, phonological processing, word reading, spelling, morphology, and syntax. These results suggest that rhythm skills and literacy call on overlapping neural mechanisms, supporting the idea that rhythm training may boost literacy in part by engaging sensory‐motor systems.


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Brain timing shares significant genetic component with intelligence

Interesting behavioral genetics study that demonstrates that millisecond temporal processing in the brain has a significant genetic component that is also shared with general intelligence. This (and other) research continues to indicate the importance of investigating "brain timing" as an important component of cognitive functioning. Also, this research indicates that this association is not all genetic--which suggests that interventions that might produce changes in basic neural timing mechanisms may increase cognitive efficiency/functioning.

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Research Byte: Improving time processing ability in children with disabilities

Click on image to enlarge

An interesting study demonstrating that it may be possible to improve the time processing abilities of children with various disabilities. Given that time processing abilities have been implicated in certain key cognitive functions (working memory, attentional control, executive functions) this study is intriguing. I am particularly interested in learning more about the time processing ability measures and the potential to use them in future intelligence test batteries...as well as where such temporal abilities fit in the CHC model of cognitive abilities.

 

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White matter matters! An oldie-but-goodie (OBG) post

White matter, in contrast to the grey squiggly mass (the cerebrum) that most people associate with the human brain, was for many years the research step-child to the cerebrum. That is no more. White matter, which has been called the brain's subway, super information system, or interstate highway communication system, now has a glass slipper. Research during the past decade has implicated white matter as performing the critical task of connecting and synchronizing different brain regions or networks so they can perform a wide variety of complex human cognitive or motor behaviors. The white matter system is considered the communication backbone system for the flow of information in the brain. Of particular interest (to me) is the parietal-frontal network, which is implicated as central to abstract human intelligence, fluid intelligence (Gf), working memory and attentional control (see prior posts re: the P-FIT model).

In a MindHub white paper I hypothesized that increasing white matter tract integrity may be a key mechanism behind the efficacy of the Interactive Metronome neuro-timing intervention (see figure below). I have gone as far as suggesting that the efficacy of many brain training/fitness programs may stem from a common domain-general effect--improving communication between and within various brain network(s) via more efficient white matter tract speed and communication. [Click on image to enlarge]

White matter integrity or dysfunction as been implicated in a wide variety of cognitive disorders or abilities, including cognitive control, math and intellectual giftedness, fluid intelligence or reasoning, processing speed, reading, decrease in cognitive functioning, meditation, working memory, vascular cognitive impairment, ADHD, autism, and cognitve and language maturation in infants. A sampling of recent white matter research article abstracts I have accumulated can be found by clicking here.
White matter matters!

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Your brain is a time machine: An oldie-but-goodie (OBG) post

This is an OBG (oldie-but-goodie) post I originally made on the IM-HOME blog

Time and space are the two fundamental dimensions of our lives. All forms of human behavior require us to process and understand information we receive from our environment in either spatial or temporal patterns. Even though mental timing (temporal processing) research is in a stage of infancy (when compared to spatial processing) important insights regarding the human brain clock have emerged.

Below is a list (albeit incomplete) of some of the major conclusions regarding the human brain clock. The sources for these statements come from my review of the temporal processing and brain clock literature during the past five years. Most of this information has been disseminated at the Brain Clock blog or the Brain Clock Evolving Web of Knowledge (EWOK). The goal of this post is to provide a Readers Digest summary of the major conclusions. This material can serve as a set of "talking points" at your next social event where you can impress your friends and family as you explain why you use the high-tech IM "clapper" (with a cowbell tone no less) either as a provider or as client.

Our brains measure time constantly. It's hard to find any complex human behavior where mental timing is not involved. Timing is required to walk, talk, perform complex movements and coordinate information flow across the brain for complex human thought. Think about moving your arm and hand to grasp a coffee cup. The messages to perform this task originate in your brain, which is not directly connected to your arm, hands and fingers. The ability to perform the necessary motor movements is possible only because the mind and extremities are connected via timing. Precisely timed neural messages connect your brain and extremities. You are a time machine.

Humans are remarkably proficient at internally perceiving and monitoring time to produce precisely timed behaviors and thinking. “We are aware of how long we have been doing a particular thing, how long it has been since we last slept, and how long it will be until lunch or dinner. We are ready, at any moment, to make complex movements requiring muscle coordination with microsecond accuracy, or to decode temporally complex auditory signals in the form of speech or music. Our timing abilities are impressive…” (Lewis & Walsh, 2005, p. 389).

To deal with time, humans have developed multiple timing systems that are active over more than 10 orders of magnitude with various degrees of precision (see figure below from Buhusi & Meck, 2005). These different timing systems can be classified into three general classes (viz., circadian, interval, and millisecond timing), each associated with different behaviors and brain structures and mechanisms. The fastest timing system (millisecond or interval timing) is involved in a numerous human behaviors such as speech and language, music perception and production, coordinated motor behaviors, attention, and thinking. This fast interval timing system is the most important timing system for understanding and diagnosing clinical disorders and for developing and evaluating effective treatment interventions for educational and rehabilitation settings. It is this timing system, and the relevant research, that is relevant to understanding Interactive Metronome. (Note.  See my conflict of interest statement at this blog.  I have an ongoing consulting relationship with IM).

Although there is consensus that the human brain contains some kind of clock, the jury is still out on the exact brain mechanisms and locations. It is also not clear whether there is one functional master clock or a series of clocks deployed in different brain areas. The areas of the brain most consistently associated with milli-second interval mental timing are the cerebellum, anterior cingulate, basal ganglia, the dorsolateral prefrontal cortex, right parietal cortex, motor cortex, and the frontal-striatal loop. That is a mouthful of technical brain terms. But, if you can memorize them and have them roll of your tongue with ease you will “shock and awe” your family and friends. Most of these areas of the brain are illustrated below. Now, if you really want to demonstrate your expertise, get your own illustrated “brain-in-a-pocket”. These images were generated by the free 3D Brain app available for your iPhone or iPad. Even cooler is the fact that you can rotate the images with your finger! You can give neuroanatomy lessons anytime…anywhere!

Research suggests that mental interval timing is controlled by two sub-systems. The automatic timing system processes discrete-event (discontinuous) timing in milliseconds. The cognitively-controlled timing system deals with continuous-event timing (in seconds) that requires controlled attention and working memory. Both systems are likely involved in IM. For example, the synchronized clapping requires motor planning and execution, functions most associated with the automatic timing system. However, the cognitive aspects of IM (focus, controlled attention, executive functions) invoke the cognitively controlled timing system. Aren’t these brain images awesome?

The dominant model in the brain clock research literature is that of a centralized internal clock that functions as per the pacemaker–accumulator model. Briefly, this is a model where an oscillator beating at a fixed frequency generates tics that are detected by a counter. For now I am just going to tease you with an image of this model. You can read more about this model at the Brain Clock blog.

Research suggests that the brain mechanisms underlying mental timing can be fine-tuned (modified) via experience and environmental manipulation. Modifiability of mental interval timing and subsequent transfer suggest a domain-general timing mechanism that, if harnessed via appropriately designed timing-based interventions, may improve human performance in a number of important cognitive and motor domains.

NIH/NIA research grant awarded to study Interactive Metronome (IM) intervention with aging Native American Indians

I borrowed the announcement below from the Interactive Metronome IM-Home blog.  As many of my readers know, I am a paid external consultant to IM (see conflict of interest disclosure statement).  I have been interested in the IM technology for slightly more than 9 years.  As I blogged yesterday, there is considerable IM research literature available, including 7 "gold standard" randomized control design (RCD) efficacy studies.  Yesterday's posts provide links to key IM and mental timing resources.  I will provide updates regarding this grant project as I learn more.

 Announcement from Interactive Metronome

The National Institutes of Health through the National Institute on Aging has awarded a grant of $2,000,000 to study the effects of Interactive Metronome® (IM) therapy on aging American Indians. The three-year study, which will be conducted by the University of New Mexico and the University of Washington, aims to determine whether the IM intervention can improve cognitive and motor functioning among older American Indians.

American Indians (AIs) experience a disproportionately high incidence of cerebrovascular disease (CBVD) relative to non American Indians with twice the stroke rate of the general US population. Neuroimaging techniques have shown CBVD-related brain abnormalities to be associated with disruption of neuropsychological performance. Therapy for post-stroke cognitive impairment has been challenging. Cognitive therapy involves intense, focused, regular mental activity, intellectual stimulation, and behavioral exercises that assist individuals to regain or maintain cognitive function and reduce the risk of age-related cognitive decline and dementia after brain injury. Interactive Metronome® therapy is a promising form of behavioral therapy for CBVD-related cognitive and motor function. This technology uses operant conditioning of an individual’s responses through simple, repetitive motor tasks (e.g., clapping hands, tapping feet) in sync with a set beat. Through visual and auditory feedback, IM addresses processing speed, attention, and immediate and delayed memory, all of which can be affected by CBVD. IM therapy can improve quality of life, physical mobility, gait, balance and CBVD-related cognitive deficits.

This study’s findings will provide important insights into the relationship among cognitive and motor rehabilitation, neuropsychological assessment, and brain abnormalities in the American Indian who suffers from CBVD. These results will reveal if IM is a viable treatment option for reducing post-stroke challenges in not only American Indians but the general aging population as well.

Interactive Metronome (IM) efficacy: Results of randomized experimental-control group designs

For those interested in the efficacy of Interactive Metronome, as demonstrated by the "gold standard" randomized control-experimental group designs (RCD), I have made a post at IQs Corner sister blog--the Brain Clock blog.

Brain/cognitive training programs and transfer: More support for changes in attentional control (AC) being a possible domain-general explanatory mechanism across programs

Another research review article that supports my hypothesis, which was invoked to explain the impact of Interactive Metronome (IM)on cognitive outcomes, that the primary mechanism of successful brain fitness or training programs may be the degree to which each program focuses on strengthening attention control (AC in CHC theory; aka, focus).  My report/white paper can be found here.  Additional information (including You Tube video presentation) available here.

The Mechanisms of Far Transfer From Cognitive Training: Review and Hypothesis.

Greenwood, Pamela M.; Parasuraman, Raja Neuropsychology, Nov 16 , 2015, No Pagination Specified. http://dx.doi.org.ezp1.lib.umn.edu/10.1037/neu0000235

Abstract

• Objective: General intelligence is important for success in daily life, fueling interest in developing cognitive training as an intervention to improve fluid ability (Gf). A major obstacle to the design of effective cognitive interventions has been the paucity of hypotheses bearing on mechanisms underlying transfer of cognitive training to Gf. Despite the large amounts of money and time currently being expended on cognitive training, there is little scientific agreement on how, or even whether, Gf can be heightened by such training. Method: We review the relevant strands of evidence on cognitive-training-related changes in (a) cortical mechanisms of distraction suppression, and (b) activation of the dorsal attention network (DAN). We hypothesize that training-related increases in control of attention are important for what is termed far transfer of cognitive training to untrained abilities, notably to Gf. Results: We review the evidence that distraction suppression evident in behavior, neuronal firing, scalp electroencephalography, and hemodynamic change is important for protecting target processing during perception and also for protecting targets held in working memory. Importantly, attentional control also appears to be central to performance on Gf assessments. Consistent with this evidence, forms of cognitive training that increase ability to ignore distractions (e.g., working memory training and perceptual training) not only affect the DAN but also affect transfer to Gf. Conclusions: Our hypothesis is supported by existing evidence. However, to advance the field of cognitive training, it is necessary that competing hypotheses on mechanisms of far transfer of cognitive training be advanced and empirically tested. (PsycINFO Database Record (c) 2015 APA, all rights reserved)

Overview of the figure from MindHub Pub that summarizes the the hypothesis that IM, as well as other brain training programs, may be effective the more they impact the brain networks that underlie the attentional control (AC) system.  Click to enlarge

Brain networks and fine tuning the networks: An OBG post

[This is an OBG (oldie but goodie) post first posted December 16, 2011 at the Brain Clock blog]

Man has always known that the brain is the center of human behavior.  Early attempts at understanding which locations in the brain controlled different functions were non-scientific and included such practices as phrenology.  This pseudoscience believed that by feeling the bumps of a persons head it was possible to draw conclusions about specific brain functions and traits of the person.

(double click on any image to enlarge)

Eventually brain science revealed that different regions of the brain where specialized for different specific cognitive processes (but it was not related to the phrenological brain bump maps).  This has been called the modular or functional specialization view of the brain, which is grounded in the conclusion that different brain areas acted more-or-less as independent mechanisms for completing specific cognitive functions.

One of the most exciting developments in contemporary neuroscience is the recognition that the human brain processes information via different brain circuits or loops which at a higher level can be studied as large scale brain networks. Although the modular view still provides important brain insights, the accumulating evidence suggests that it has serious limitations and might in fact be misleading (Bresslor and Menon, 2010).  One of the best summaries of this cutting edge research is that by Bresslor and Menon.

Large scale brain network research suggests that cognitive functioning is the result of interactions or communication between different brain systems distributed throughout the brain. That is, when performing a particular task, just one isolated brain area is not working alone.  Instead, different areas of the brain, often far apart from each other within the geographic space of the brain, are communicating through a fast-paced synchronized set of brain signals.  These networks can be considered preferred pathways for sending signals back and forth to perform a specific set of cognitive or motor behaviors. 

To understand preferred neural pathways, think of walking on a college campus where there are paved sidewalks connecting different buildings that house specialized knowledge and activities.  If you have spent anytime on a college campus, one typically finds foot-worn short cuts in the grass that are the preferred (and more efficient) means by which most people move between building A and B.  The combined set of frequently used paved and unpaved pathways are the most efficient or preferred pathways for moving efficiently between buildings.  The human brain has developed preferred communication pathways that link together different brain circuits or loops in order to quickly and efficiently complete specific tasks. 

According to Bresslor and Menon (2010), “a large-scale functional network can therefore be defined as a collection of interconnected brain areas that interact to perform circumscribed functions.”  More importantly, component brain areas in these large-scale brain networks perform different roles.  Some act as controllers or task switchers that coordinate, direct and synchronize the involvement of other brain networks.  Other brain networks handle the flow of sensory or motor information and engage in conscious manipulation of the information in the form of “thinking.” 

As illustrated in the figure above, neuroscientists have identified a number of core brain network nodes or circuits.  The important new insight is that these various nodes or circuits are integrated together into a grander set of higher-level core functional brain networks.  Three important core networks are receiving considerable attention in explaining human behavior. 

Major functional brain networks

The default mode (DMN) or default brain network (shown in blue) is what your brain does when not engaged in specific tasks.  It is the busy or active part of your brain when you are mentally passive.  According to Bresslor and Brennon the “DMN is seen to collectively comprise an integrated system for autobiographical, self-monitoring and social cognitive functions.”  It has also been characterized as responsible for REST (rapid episodic spontaneous thinking).  In other words, this is the spontaneous mind wandering and internal self-talk and thinking we engage in when not working on a specific task or, when completing a task that is so automatized (e.g., driving a car) that our mind starts to wander and generate spontaneous thoughts.  As I have discussed previously (at IM-HOME blog), the default network is responsible for the unquiet or noisy mind.  And, it is likely that people differ in amount of spontaneous mind wandering (which can be both positive creative thinking or distracting thoughts), with some having a very unquiet mind that is hard to turn off, while others can turn off the inner thought generation and self-talk and display tremendous self-focus or controlled attention to perform a cognitively or motorically demanding task.  A very interesting discussion of the serendipitous discovery and explanation of the default brain network is in the following soon to be published scientific article.

The salience network (shown in yellow) is a controller or network switcher.  It monitors information from within (internal input) and from the external world arounding us, which is constantly bombarding us with information.  Think of the salience network as the air traffic controller of the brain.  Its job is to scan all information bombarding us from the outside world and also that from within our own brains.  This controller decides which information is most urgent, task relevant, and which should receive priority in the que of sending brain signals to areas of the brain for processing.  This controlling network must suppress either the default or executive networks depending on the task at hand.  It must suppress one, and activate the other.  Needless to say, this decision making and distribution of information must require exquisite and efficient neural timing as regulated by the brain clock(s).

Finally, the central-executive network (CEN; shown in red) “is engaged in higher-order cognitive and attentional control.”  In other words, when you must engage your conscious brain to work on a problem, place information in your working memory as you think, focus your attention on a task or problem, etc., you are  “thinking” and must focus your controlled attention.  As I understand this research, the salience or controller network is a multi-switching mechanism that is constantly initiating dynamic switching between the REST (sponatenous and often creative unique mind wandering) and thinking networks to best match the current demands you are facing.

According to Bresslor and Melon, not only is this large scale brain network helping us better understand normal cognitive and motor behavior, it is providing insights into clinical disorders of the brain.  Poor synchronization between the three major brain networks has been implicated in Alzheimer’s, schizophrenia, autism, the manic phase of bipolar and Parkinson’s (Bresslor and Melon, 2010), disorders that have all been linked to a brain or neural timing (i.e, the brain clock or clocks).  I also believe that ADHD would be implicated.  If the synchronized millisecond based communication between and within these large networks is compromised, and if the network traffic controller (the salience network) is disrupted in particular, efficient and normal cognition or motor behavior can be compromised.

I find this emerging research fascinating.  I believe it provides a viable working hypothesis to explain why different brain fitness or training neurotechnologies have shown promise in improving cognitive function in working memory, ADHD, and other clinical disorders.  It is my current hypothesis that various brain training technologies may focus on different psychological constructs (e.g., working memory; planning; focus or controlled attention), but their effectiveness may all be directly or indirectly facilitating the sychronization between the major brain networks.  More specifically, by strengthening the ability to invoke the salience or controller network, a person can learn to suppress, inhibit or silence the REST-producing default brain network more efficiently, long enough to exert more controlled attention or focus when invoking the thinking central executive network.  Collectively these brain fitness technologies may all improving the use of those abilities called executive function, or what I have called the personal brain manager.  Those technologies that focus on rhythm or brain timing are those I find most fascinating.  For example, the recent example of the use of melodic intonation therapy with Congresswoman Gabby Giffords (she suffered serious brain trauma due to a gun shot) demonstrates how rhythm-based brain timing therapies may help repair destroyed preferred and efficient neural pathways or, develop new pathways, much like the development of a new foot worn pathway in the grass on a college campus if a preferred pathway is disrupted by a new building, temporary work or rennovation, or some other destruction of a preferred and efficient network of movement path.

To understand the beauty of the synchronized brain, it is best to see the patterns of brain network connections in action.  Below is a video called the “Meditating Mind.”  I urge you to view the video for a number of reasons.  

A number of observations should be clear.  First, during the first part of the video the brain is seen as active even during a resting state.  This is visual evidence of the silent private dialogue (REST) of the default mode or network of the brain.  Next, the video mentions the rhythm of increased and decreased neural activation as the brain responds to no visual information or presentation of a video.  The changes in color and sound demonstrate the rich rhythmic synchronization of large and different parts of the brain, depending on whether the brain is engaged in a passive or active cognitive task.  The beauty of the rapidly changing and spreading communication should make it obvious that efficient rhythmic synchronization of timing of brain signals to and from different networks or circuits is critical to efficient brain functioning.

Finally, the contrast between the same brain under normal conditions and when engaged in a form of meditation is striking.  Clearly when this person’s brain is mediating, the brain is responding with a change in rates and frequency of brain network activation and synchrony.  As I described in my personal IM-HOME based experience post, mastering Interactive Metronome (IM) therapy requires “becoming one with the tone”…which sounds similar to the language of those who engage in various forms of meditation.  Could it be that the rhythmic demans of IM, which require an individual to “lock on” to the auditory tone and stay in that synchronized, rhythmic and repetitive state for as long as possible, might be similar to the underlying mechanics of some forms of meditation, which also seek to suppress irrelevant and distracting thoughts and eventually “let the mind go"---posibsly to follow a specific train of thought with complete and distraction free focus. 

Yes…this is speculation.  I am trying to connect research-based and personal experience dots.  It is exciting.  My IM-HOME based induce personal focus experience  makes sense from the perspective of the function and interaction between the three major large scale brain networks.

Another Interactive Metronome (math achievement) positive research study published

A link to the complete article is here.

Click on image to enlarge.

IM "matter of time" overview

A nice brief overview of some important brain timing findings.

See my conflict of interest link regarding this post.

Thursday, June 25, 2015

7:03 PM

Research Byte: Strong working memory (WM)--fluid intelligence (Gf) relationship not due to time allowed on both sets of tasks

Very good article that does not support Chuderski's research that had suggested a relationship between time on task (not the same as cognitive processing speed-Gs) and fluid reasoning or working memory. The current study reinforces the very high (but not 1.0) effect size from working memory to Gf. However, how much time an individual (at least for young adults) spends on working memory or fluid tasks does not explain the strong WM--Gf relation. Generalization to children and the elderly cannot be made without further research.

What I find particularly interesting is the authors hypothesis that one possible general mechanism explanation for the WM-->Gf link is temporal based processing of information. This is consistent with the temporal power resolution hypotheses (or temporal g) of Rammsayer and colleagues and a large body of research I have reported at the Brain Clock blog. If you visit that link, pay particular attention to the MindHub Pub2 that presents a three-level hypothesized model for understanding the IM effect. Note that at the lowest neurocognitive and biological level of intelligence research, I have hypothesized that temporal g (and not Jensen's reaction time g) may be one of the key domain-general mechanisms driving critical cognitive abilities, especially working memory and fluid intelligence.

As per the recent four-level reductionistic framework (see brief 10 minute video explanation) I have offered to organize intelligence related research (adapted from Earl Hunt's work), the current study links research at the psychometric, information processing, and neurocognitive and biological (neural efficiency) levels.

Click on images to enlarge.













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Mind wandering: Annual Review of Psychology review

A nice, concise review of the mind wandering research is now available in the Annual Review of Psychology. Click on images to enlarge.

Previous posts on mind wandering can be found at the Brain Clock blog at this link.







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ADHD: And even MORE evidence suggestive of a brain network connectivity disorder

And more evidence for ADHD as being related to poor brain network connectivity. (click here for more posts) Click on images to enlarge.






And, again, this extant research is consistent with the three-level hypothesized explanation of the impact of certain brain training programs on controlled attention (click here for special white paper as well as on-line PPT modules and keynote video presentation of this model).




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The external/internal-directed cognition (EDC/IDC) framework

I just skimmed the article below. I like the way it uses the terms external/internal-directed (ECD/ICD) cognition framework to discuss the differences and relations between the activities of the default brain network and the executive control networks (click here for excellent article explaining these two networks)

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I resonate to this EDC/IDC framework as it is relevant to my white paper on improving attentional control (via IM training--although the paper, IMHO, is more about how different brain training programs may work). That hypothesized model is in the figure above, and can be found at the MindHub.



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What is Interactive Metronome video: Brief appearance by blogmaster

Interactive Metronome has a new intro video ("What is Interactive Metronome") re: the neuro-timing intervention. The blogmaster makes a brief appearance (at approx. 45 seconds) discussing neural efficiency. Enjoy. It will make my mom proud :)

See my conflict of interest statement regarding my paid consulting role with IM.

 

 

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Timing intervention improves functioning of soldiers with TBI & new treatment resource for soldiers with TBI

Important and exciting new study just published in the journal Neuropsychology this week. [Click on image to enlarge].  Access available under "IM Research" blogroll at this blog (Brain Clock blog).  Additional information and exciting new treatment resource for soldiers with TBI can be found at the @Attention Fund.

Brain video festival: Mind wandering, mono-tasking, and the brain as a network

A few interesting video gems for your viewing.

First, forget multitasking and try mono-tasking.  Focus on just one thing...it may be beneficial.

Next, I have frequently blogged about the default mode or default brain network (Brain Clock posts; IM-HOME post).  The default mode (which is estimated to be active approximately 40% of our waking day) has been implicated in how our mind, when idling or resting, is very active--it does not rest while resting.  Difficulty quieting the default network has also been implicated in a variety of clinical disorders such as ADHD, Alzheimers, schizophrenia, and autism. This literature is now frequently referred to as mind wandering research (see Brain Clock mind wandering posts).  The following is a nice brief overview of the default brain network.

I have also suggested that some brain fitness technologies (Interactive Metronome in particular;  conflict of interest disclosure--I serve as a paid external consultant to IM regarding research) are achieving success by either directly or indirectly training controlled, focused attention, which requires shutting down and inhibiting the mind wandering predisposition of the default mode network.  I have posted both a set of PPT slides and the video of my recent IM keynote presentation at the Brain Clock blog where I presented the relevant research and hypotheses in detail.

Finally, a more lengthy, thought provoking video is presented last.  This video makes it clear that the brain is best conceptualized as an evolving interconnected network.

Enjoy.

"I think...therefore IM" (Interactive Metronome) - Dr. Kevin McGrew 2012 Interactive Metronome Keynote

Keynote presentation by Dr. Kevin McGrew at the 2012 Interactive Metronome professional conference in San Antonio, Texas. Dr. McGrew presents his three-levels of interpretation research and theory-based hypothesis re: the reason IM improves cognitive performance across different domains. The primary message focuses on improving focus (controlled attention), working memory and executive functions. Recent brain network research implicates improve brain network communication via white matter tracts, particularly the Parietal-Frontal Integration Theory (P-FIT) of intelligence. 

Taping was from a distance so the audio, at times, is weak. Listening with ear buds suggested.  Also, a non-audio version of the complete set of PPT slides is available for more reflective viewing via my SlideShare account.

[Heads up - the "cat" video clip near the beginning is not a mistake.  Don't think that YouTube has done something weird--I comment on the interpretation of the cat video after it is over]

Below is a snippet of a part of the larger video that explains the key concepts and PPT-based animations that are used in the Keynote presentation.

Finally, if you are unfamiliar with the  IM technology, you might want to watch the following brief introductory video before viewing the Keynote video.  The video is a bit dated with regard to current understanding of how IM may work, as explained in the Keynote video above.  However, it is a good video for understanding the task demands of IM

As noted in my conflict of interest disclosure statement, I am an external paid consultant to IM (Director of Research and Science)