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

Friday, December 16, 2011

The networked brain: Fine-tunning and controlling your network(s)

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.

More extensive research on the brain clock can be found at the Brain Clock blog (http://www.brainclock.net)








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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.” 




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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.



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- iPost using BlogPress from Kevin McGrew's iPad

Brain rhythm treatment efficacy: Can we fine-tune our brains?







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.



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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.



















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Friday, August 14, 2009

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

Brain rhythm. Got it? Need it? What is it? Can you improve it?

Check out new IAP Research Report No. 9: The efficacy of rhythm-based (mental timing) treatments with subjects with a variety of clinical disorders: A brief review of theoretical, diagnostic, and treatment research (McGrew & Vega, 2009). at the IQ Brain Clock blog (sister blog to IQs Corner).

Thursday, April 09, 2009

Brain rhythm? Do you have it? How can we get it?

Does your brain have good rhythm?

[Made this post at IQ Brain Clock sister blog...but thought IQs Corner readers might find interesting]

Very interesting research (Thut & Miniussi, 2009; Trends in Cognitive Sciences) being reported on the synchronization of brain oscillation behavior (brain rhythms) and neurotechnology to stimulate brain rhythm to enhance cognitive and motor performance.

The whole concept of neurological or brain rhythm has permeated a number of strands of research related to the internal mind or brain clock (mental interval timing). Also, if you've viewed my two on-line PPT presentations on (a) mental timing (IQ Brain Clock) and (b) trying to explain the positive effects of Interactive Metronome on a variety of cognitive and motor outcomes, you will see mention of hypothesized mechanisms dealing with synchrony of brain circuits, coordination of brain regions, increased neural efficiency, etc...all that seem to possibly relate to what researchers are now calling brain rhytyms.

Very interesting stuff. Although electronically or magnetically stimluating the brain to increase neural syncrhonization and rhythm is interesting, as noted in the two PPT slides linked above, I've hypothesized that the positive effect of less expensive technologies (e.g., Interactive Metronome ; conflict of interest - I'm on the IM Scientific Advisory Board) might be accomplishing similar effects by "fine-tunning brain rhythms."

Below is the abstract for the above linked article. Warning..it is a very technical article and not an easy read. Make sure your brain rhythms are at peak performance before trying to read the article.

There is renewed interest in the functional role of oscillatory brain activity in specific frequency bands, investigated in humans through electroencephalography (EEG) and magnetoencephalography (MEG) recordings. In parallel, there is a growing body of research on noninvasive direct stimulation of the human brain via repetitive (rhythmic) transcranial magnetic stimulation (TMS), and on those frequencies that have the strongest behavioural impact. There is, therefore, great potential in combining these two lines of research to foster knowledge on brain rhythms, in addition to potential therapeutic applications of rhythmic brain stimulation. Here, we review findings from this rapidly evolving field linking intrinsic brain oscillations to distinct sensory, motor and cognitive operations. The findings emphasize that brain rhythms are causally implicated in cognitive functions.
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