Abstract
Bifurcation analysis of “synchronization fluctuation”: a diagnostic measure of brain epileptic states
Highlights
The brain is a complex network with functional elements spatially distributed in different regions
Dynamical systems approach may be able to provide some answers to this question: Based on dynamical systems theory, even slight modification of a parameter is able to lead to a significant qualitative change in the system’s behavior
In another research Perez Velazquez et al suggested that the interictal ictal transition may be the result of bifurcation due to alteration in control parameters like the balance between excitation an inhibition in the underlying neuronal networks (Perez Velazquez et al, 2003)
Summary
The brain is a complex network with functional elements spatially distributed in different regions. According to this paradigm, depending on the functional state of the brain, the level of synchronization among brain regions may vary over time. Dynamical approach has already been successfully used to the study of the functional status of epileptic states.
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