For the brain to achieve its intricate functions such as perception, action, attention and decision making, neural regions have to work together yet still retain their specialized roles.
Excess or lack of timely coordination between brain areas lies at the core of a number of psychiatric and neurological disorders such as epilepsy, schizophrenia, autism, Parkinson's disease, sleep disorders and depression. How the brain is coordinated is a complex and difficult problem in need of new theoretical insights as well as new methods of investigation.
In groundbreaking research published in the January 2009 issue and featured on the cover of Progress in Neurobiology, researchers at Florida Atlantic University's Center for Complex Systems and Brain Sciences in the Charles E. Schmidt College of Science propose a theoretical model of the brain's coordination dynamics and apply a novel 4D colorimetric method to human neurophysiological data collected in the laboratory. The article, titled "Brain coordination dynamics: true and false faces of phase synchrony and metastability," is co-authored by Drs. Emmanuelle Tognoli, an expert in neurophysiology and research assistant professor in the Center's Human Brain and Behavior Laboratory, and J. A. Scott Kelso, the Glenwood and Martha Creech Eminent Scholar in Science and founder of the Center. The authors' theory and data show that both tendencies co-occur in the brain and are essential for its normal function. Their research demonstrates that coordination involves a subtle kind of ballet in the brain, and like dancers, cortical areas are capable of coming together as an ensemble (integration) while still exhibiting a tendency to do their own thing (segregation).
"A lot of emphasis in neuroscience these days is on what the parts do," said Kelso. "But understanding the coordination of multiple parts in a complex system such as the brain is a fundamental challenge. Using our approach, key predictions of cortical coordination dynamics can now be tested, thereby revealing the essential modus operandi of the intact living brain."
Tognoli and Kelso developed a novel colorimetric technique that simultaneously maps four dimensions of brain data (magnitude, 2D of cortical surface and time) in order to capture true synchronization in electroencephalographic (EEG) signals. Because of the fourth dimension afforded by this colorimetric method, it is possible to observe and interpret oscillatory activity of the entire brain as it evolves in time, millisecond by millisecond. Moreover, the authors' method applies to continuous non-averaged EEG data thereby de-emphasizing the notion of "an average brain." The authors demonstrate that only in continuous EEG can real synchronization be sorted from false synchronization – a kind of synchronization that arises from the spread of electrical fields and volume conduction rather than from genuine interactions between brain areas.
Most of the time, activity from multiple brain areas look coordinated; however, in actuality, there is far less synchrony than what appears to be. With the support of mathematical models that reproduce the biases of real brain records in synthetic data, the authors show how to tell apart real and false episodes of synchronization. For the first time, true episodes of brain coordination can be spotted directly in EEG records and carefully analyzed.
In addition to shedding insight on the way the brain normally operates, Tognoli and Kelso's research provides a much-needed framework to understand the coordination dynamics of brain areas in a variety of pathological conditions. Their approach allows a precise parsing of "brain states" and is likely to open up new ways to study therapeutic interventions, in particular the effects of drugs (pharmaco-dynamics). Their approach will also help improve the design of brain computer interfaces used to help people who are paralyzed.
"In the future, it may be possible to fluently read the processes of the brain from the EEG like one reads notes from a musical score," said Tognoli. "Our technique is already providing a unique view on brain dynamics. It shows how activity grows and dies in individual brain areas and how multiple areas engage in and disengage from working together as a coordinated team."