Showing posts with label brain rhythm. Show all posts
Showing posts with label brain rhythm. Show all posts

Friday, July 31, 2015

Brain networks and fine tunning the networks: An OBG post

[This is an OBG (oldie but goodie) post first posted December 16, 2011]

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.


Thursday, August 02, 2012

Aurora shooting victim benefits from music in brain injury recovery

Yet another interesting video reporting on the use of the rhythmic aspects of music in brain injury recovery...similar to the Gabby Giffords story.  Additional clinical evidence of the importance of temporal processing in the brain.

Wednesday, May 09, 2012

Better thinking via brain clock syncing

FYI from the Time Doc




An interesting post by Amy Vega at the IM-HOME blog today. She summarizes a 2006 article by Stankov et al that suggests that fine tuning the phase synchrony of neural (gamma) oscillations can improve cognitive performance. I find this post interesting as I included this as a possible explanation for brain-clock based brain fitness technology in a keynote presentation I made at an IM conference in 2007. See my slide below. The entire presentation is available for viewing via Slideshare.

Similar post re: brain synchronization or rhythm can be found by clicking here.

Click on images to enlarge.







Posted using BlogPress from Kevin McGrew's iPad
www.themindhub.com

Sunday, December 18, 2011

The brain beat matters: Neural mechanisms of beat perception.

A very interesting video from the Science Network of the Neural Mechanisms of Beat Perception.  The video is self-explanatory.  This research fits within the temporal processing or brain clock/neural timing framework that is the primary driving force of the Brain Clock blog.  Additional informaiton re: beat production is available here.  I resonate to the concept that temporal processing provides scaffolding for rhythm perception and, in turn, memory, attention, auditory imagery and processing, and rhythm-based rehabilitation of various brain disorders.  Finally, I have been blogging about a specific rhythm-based neurotechnology at the IM-HOME blog that is relevant to this video.

Friday, December 16, 2011

The brain as a set of networks: Fine tunning your networks

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 congitive 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 geogrpahic space of the brain, are communicating through a fast-paced sychronized 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 pathays 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 concious 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 beavhior. 


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 controllor 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 controllor 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 supress one, and activiate the other.  Needless to say, this decision making and distribution of information must require exquisite and efficienct 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 concious 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 unquie 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 biploar 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 milli-second based communicaiton 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 strengthing the ability to invoke the salience or controller network, a person can learn to supress, 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 techonologies 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 dialouge (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 rhthymic sychronization 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 ciruits 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"---posibbly 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.


Saturday, December 10, 2011

Background noise may disrupt speech perception via neural timing synchronization problems

Yet more research supporting the role of the brain clock in human behavior, this time (again) focusing on the importance of neural timing/temporal resolution being negatively influenced by background noise. Impaired auditory signal processing may disrupt speech perception in invidiauls with speech perception problems.









Posted via DraftCraft app

Tuesday, November 15, 2011

Gabby Giffords response to music therapy: Fine-tunning the brain clock via rhythm


Very interesting story and video regarding speech and language therapy progress for Congresswoman Gabby Giffords.

The use of music therapy is consistent with rhythm-based intervention programs.  One of this class of interventions mentioned in the article is melodic intonation therapy (MIT).  MIT is one of a class of rhythm-based therapies that have demostrated significant progress not only for brain-injury related aphasia, but other clinical disorders.  The Brain Clock blog has made many posts regarding the importance of brain rhythm or timing, with the master internal brain clock possibly being the underlying cognitive/brain mechanism that may be being "fine tuned" by these therapies.



A recent white paper that reviewed the efficacy of 23 different rhythm-based therapies can be found here. I recently blogged about one of these neurotechnologies, namely Interactive Metronome, at the IM-Home web page blog.  My post can be found here.  In a post to be released any day, I touch on the above white paper that concluded:

"After a review of four different types of rhythm-based timing treatments, of which IM was just one, we concluded that:
“we believe that collectively the preponderance of positive outcomes (across the 23 listed studies) indicates that rhythm-based mental-timing treatments have merit for clinical use and warrant increased clinical use and research attention…positive treatment outcomes were reported for all four forms of rhythm-based treatment.  Positive outcomes were also observed for normal subjects and, more importantly, across a variety of clinical disorders (e.g., aphasia, apraxia, coordination/movement disorders, TBI, CP, Parkinson's disease, stroke/CVA, Down's syndrome, ADHD)….One notable observation of interest is that 15 of the 23 studies (the RAS, AOS-RRT and SMT treatment studies) all employed some form of auditory-based metronome to pace or cue the subjects targeted rhtymic behavior.  In all other studies, rhythm-pacing used some form of manual tapping or beat sound (e.g., drum).  We conclude that the use of external metronome-based rhythm tools (tapping to a beat, metronome-based rhythmic pacing, rhythmic-cuing via timed pulses/beats) is a central tool to improving temporal processing and mental-timing.” 


Generated by: Tag Generator

Wednesday, September 14, 2011

Brain rhythm efficacy research: Can we fine-tune our brain?




It was recently brought to my attention that the link to a previously posted report I produced with Amy Vega (from Interactive Metronome) was dead. Earthlink (my server host) had informed me I was over quota...so I started some mass file deletion. This report was a victim of the purge. As I skimmed the report I realized that it is still a nice synthesis of the efficacy of a general class of research on brain rhythm training interventions. Below was our general conclusion. I would recommend that people who have not read the report revisit that post (with the fixed link) to understand why I continue to be intrigued by brain timing research and the potential for brain timing based interventions.

General conclusion:

...given the converging research that points toward a possible neurologically-based domain-general internal mental-timing mechanism (i.e., a potentially modifiable internal brain clock), it is possible that the efficacy of all four classes of rhythm-based treatments are operating (in their own way) on “fine tuning the temporal resolution of the human brain clock.” Our temporal resolution fine-tuning hypothesis is consistent with the temporal resolution power (TRP) hypothesis (Rammsayer & Brandler, 2002, 2007) that indicates that oscillatory brain process are responsible for the efficiency and speed of neural-based information processing. We hypothesize, via the temporal resolution fine-tuning hypothesis, that the positive outcomes for rhythm perception and production based treatments may be due to these treatments increasing the efficiency and speed of information processing in brain-based neural networks responsible for the planning, execution and synchronization of complex human behaviors.

We urge both academic and applied researchers to embrace the temporal processing (mental timing) theory--diagnostic/classification--treatment literature reviewed in this report and increase efforts to understand the links between the three legs of the mental timing stool. The positive effects of current “brain rhythm” treatment programs for many types of disorders, across a variety of human performance domains, is encouraging, particularly when placed in the context of the emerging science and theory of the human brain clock.



- iPost using BlogPress from Kevin McGrew's iPad

Generated by: Tag Generator






- iPost using BlogPress from Kevin McGrew's iPad

Thursday, December 23, 2010

Research byte: Population clocks model of motor timing (Buonomano & Laje, 2010)







Double click on image to enlarge

Buonomano and Laje (2010) have presented an interesting description of a population clocks model to explain motor timing. The article is a hard read....and if it is too difficult, just do what I did....enjoy the lovely graphic figures. Seriously...this is an important contribution to understanding motor timing in motor performance. I will need to digest it more than once. Probably the most useful aspect of the article is the nice intro overview of the various theoretical models that have been advanced to explain the human brain clock.



The PDF article includes highlights and notes as per the IQs Reading blog feature.

The article will be added to the Key Research Articles section of this blog.


- iPost using BlogPress from my Kevin McGrew's iPad



Thursday, November 25, 2010

Research byte: Temporal processing (sampling) theory of dyslexia




An interesting article suggesting that temporal processing (temporal sampling) may play a crucial roles in various forms of reading disabilities (dyslexia). IMHO this theory may explain a good portion of individuals with dyslexia, but no single theory or causal mechanism can account for the diversity of causes that have been suggested for severe reading disabilities. Nevertheless...the prominent role of temporal processing is interesing.

As per usual when I make a research byte/brief post, if anyone would like to read the original article, I can share via email---with the understanding that the article is provided in exchange for a brief guest post about it's contents. :) (contact me at iap@earthlink.net if interested). Also, if figure/images are included in the post, they can usually be made larger by clicking on the image.

If nothing else, this article has some cool figures of models :)

Usha Goswami, A temporal sampling framework for developmental dyslexia, Trends in Cognitive Sciences, In Press, Corrected Proof, Available online 18 November 2010, ISSN 1364-6613, DOI: 10.1016/j.tics.2010.10.001.
(http://www.sciencedirect.com/science/article/B6VH9-51H497T-1/2/28fbdeb2c2e67c43775242a445a171f3)

Abstract

Neural coding by brain oscillations is a major focus in neuroscience, with important implications for dyslexia research. Here, I argue that an oscillatory `temporal sampling' framework enables diverse data from developmental dyslexia to be drawn into an integrated theoretical framework. The core deficit in dyslexia is phonological. Temporal sampling of speech by neuroelectric oscillations that encode incoming information at different frequencies could explain the perceptual and phonological difficulties with syllables, rhymes and phonemes found in individuals with dyslexia. A conceptual framework based on oscillations that entrain to sensory input also has implications for other sensory theories of dyslexia, offering opportunities for integrating a diverse and confusing experimental literature.










- iPost using BlogPress from my Kevin McGrew's iPad


Tuesday, June 01, 2010

Good readers have good brain "conductors" (like a good symphony conductor)

A news report of a research implicating the importance of mental timing connections in the brain (temporal connectivity) and the analogy of a good conductor getting various portions of the brain "working together" in rhythm as one possible key to understanding severe reading disabilities.

Technorati Tags: , , , , , , , , , , , ,

Thursday, March 25, 2010

Rhythm-based intervention: RhythmBee

 I just ran across another Rhythm-based educational intervention called RhythmBee. What is on the their web page is all I know.  This is an FYI notice, and does not represent any endorsement of the intervention by the blogmaster.  I would need to see empirical research studies before rendering any opinion.

Technorati Tags: , , , , , , , , , ,

Sunday, February 28, 2010

Brain rhythm treatment effectiveness: More complex multisensory synchronization may be better?

In IAP Research Report # 9 (Brain rhythm treatment efficacy:  Can we fine-tune our brain clocks), it was concluded (after reviewing 23 studies) that "rhythm-based mental-timing treatments have merit for clinical use and warrant increased clinical use and research attention."  Additionally, it was concluded that:
  • Positive treatment outcomes were reported for four forms of rhythm-based treatment. Positive outcomes were also observed for normal subjects and, more importantly, across a variety of clinical disorders (e.g., aphasia, apraxia, coordination/movement disorders, TBI, CP, Parkinson’s disease, stroke/CVA, Down’s syndrome, ADHD)
  • Most rhythm-based brain-based interventions (the RAS, AOS-RRT and SMT treatment studies) all employed some form of auditory-based metronome to pace or cue the subjects targeted rhythmic behavior.
  • External metronome-based rhythm tools (tapping to a beat, metronome-based rhythmic pacing, rhythmic-cuing via timed pulses/beats) is a central tool to improving temporal processing and mental-timing.
In this context, I was excited to see the recent article by Wing, Doumas & Welchman (2010)--the abstract of the study which I posted this past week.  Wing is the Wing of the Wing-Kristofferson two-level model of rhythm-based synchronization.  Thus, although the current study only focused on n=8 subjects, the research questions, methodology, and quality of research is based on a lengthy program of research and theorizing by Wing and associates.  In this context, I find their findings worthy of this special blog post.  A copy of the article can be viewed by clicking here.

As we all know (from reading this blog), synchronization is a crucial aspect of many forms of skilled human performance.  In many everyday and complex behaviors our CNS is often bombarded by multiple forms of sensory stimuli from which our brain seeks information to fine tune synchronization of time-dependent behaviors.  The current Wing study focused on whether synchronization of behaviors occurs best under a single feedback modality (e.g., auditory cues only) or when the CNS must process similar timing feedback from two sensory modalities concurrently (e.g., auditory and visual; auditory and haptic). 

Common sense suggests that the performance would probably be best when the brain only needs to focus on one form of time-based synchronization feedback (e.g., auditory only).  But...research suggest this is not the case.  The literature reviewed in the article, as well as the specific study reported (looking at synchronization of behavior under single or multiple sensory feedback conditions), favors a cue combination model of synchronization.  Whether auditory+visual synchronization feedback or auditory+haptic feedback, the brain, although tending to favor and weight the importance of one modality over the other (e.g., auditory performance feedback tends to dominate over visual when provided concurrently), appears to benefit from having more than one form of feedback.  Apparently the CNS combines feedback from different senses in a differential weighting algorithm (i.e., pays attention to one form of feedback more and gives it more weight in adjusting performance) which increases the precision of synchronization of behaviors.

Although replication is needed, this study suggests that rhythm-based mental timing or synchronization treatments (e.g., Interactive Metronome;  see conflict of interest notice) may be most effective when multisensory feedback is provided to subjects...and not just a single form of feedback.  Of course, there will always be individual differences and some individuals may benefit more from a single form of feedback (e.g., auditory beeps only).  Research that would identify individuals who do not benefit from the advantages of multisensory feedback would be of interest.  My only criticism of this study is the failure of the authors to hypothesize what occurs at the neurological level when multisensory cue feedback is provided---i.e., why does it improve performance?

For now...it appears that "more is better."

Technorati Tags: , , , , , , , , , , , , , ,

Saturday, February 13, 2010

Research Bytes 2-13-10: Neural synchrony; optimal control theory of movement

Uhlhaas, P. Fre´de´ric, R., Rodriguez, E., Rotarska-Jagiela1,A. & Singer, W. (2010).  Neural synchrony and the development of cortical networks.  Trends in Cognitive Sciences, Vol.14 No.2, 72-80.

Abstract
Recent data indicate that the synchronisation of oscillatory activity is relevant for the development of cortical circuits as demonstrated by the involvement of neural synchrony in synaptic plasticity and changes in the frequency and synchronisation of neural oscillations during development. Analyses of resting-state and task-related neural synchrony indicate that gamma-oscillations emerge during early childhood and precise temporal coordination through neural synchrony continues to mature until early adulthood. The late maturation of neural synchrony is compatible with changes in the myelination of cortico-cortical connections and with late development of GABAergic neurotransmission. These findings highlight the role of neural synchrony for normal brain development as well as its potential importance for understanding neurodevelopmental disorders, such as autism spectrum disorders (ASDs) and schizophrenia.

Article Outline
Function and mechanisms of neural synchrony in cortical networks
Resting-state oscillations: development of frequency, amplitude and synchronisation
Maturation of steady-state responses
Development of task-related oscillations during motor, cognitive and perceptual processes
Neural synchrony during development: relationship to anatomy and physiology
Neural synchrony during development: implications for psychopathology
Concluding remarks
Acknowledgements
References


Diedrichsen, J., Shadmehr, R., & Ivry, R. B. (2010). The coordination of movement: optimal feedback control and
beyond. Trends in Cognitive Sciences, 14(1), 31-39.


Abstract
Optimal control theory and its more recent extension, optimal feedback control theory, provide valuable insights into the flexible and task-dependent control of movements. Here, we focus on the problem of coordination, defined as movements that involve multiple effectors (muscles, joints or limbs). Optimal control theory makes quantitative predictions concerning the distribution of work across multiple effectors. Optimal feedback control theory further predicts variation in feedback control with changes in task demands and the correlation structure between different effectors. We highlight two crucial areas of research, hierarchical control and the problem of movement initiation, that need to be developed for an optimal feedback control theory framework to characterise movement coordination more fully and to serve as a basis for studying the neural mechanisms involved in voluntary motor control.

Article Outline
The problem of coordination
Optimal (feedback) control theory
Distribution of work across multiple effectors
Task-dependent feedback control
Structure of movement variability
Initial gating mechanism
Coordination through high-level state estimates
Current limitations and outlook
Acknowledgements
Glossary
References

Technorati Tags: , , , , , , , , , ,

Tuesday, October 20, 2009

Time Doc Bytes: Two new exciting brain-based brain clock research studies


Two very interesting research studies reported this past week.

The first used a rare procedure (implanting electrodes in Broca's area of the brain) provides useful information on brain mechanisms involved in the speed, timing and sequence of language behaviors.

The second, based on research with primates, is very intriguing as it suggest the use of a "brain stamp" mechanism for keeping time of events.   Interestingly, and consistent with considerable research posted at this blog before, the focus was on certain brain regions/mechanisms (prefrontal cortex; straitum; dopamine), and implications were mentioned for Parkinson's disease treatment.

Technorati Tags: , , , , , , , , , , , ,


Friday, September 18, 2009

Arts training improves cognition via attention: More support for IQ brain clock fine tunning hypothesis

I just read an interesting post at Cerebrum regarding the impact of training in the arts and improved cognition, hypothesized to occur due to improvement in attention.

I find the research very consistent with the proposed link between the mental timing (IQ Brain Clock) and improved cognitive performance, which has been hypothesized to impact the same basic cognitive functions (esp., controlled executive attention and executive functions).  I've blogged and PPT'd extensively at this blog, esp. with re: to neurotechnologies that focus on synchronized metronome tapping, a technology that deals with rhythm perception and production.

In my opinion, the research discussed at the Cerebrum adds to the growing literature suggesting a link between "fine tuning the temporal resolution of the brain clock" and improved cognitive efficiency.  Amy Vega and I recently published a research review report supporting the link between brain rhythm-based treatments and improvement in a diverse array of human performance domains. 

Technorati Tags: , , , , , , , , , , , , , , , , ,

Wednesday, August 19, 2009

Vibrating chair for Parkinson's: Possible rhythm effect?


Interesting post at Mind Hacks regarding historical treatment for Parkinson's disease via a "vibratory chair." Links to a current paper that discusses the old treatment is available, with some contemporary research cited re: the modest benefits of vibration therapy with PD. Is it possible that there could be an underlying "rhythmic" treatment effect--an effect similar to that we discussed in our recent brain rhythm paper? Hmmmmmmmmmmmm. Curious minds want to know.

Thanks Mind Hacks for interesting post.

Technorati Tags: , , , , , ,