Abstract
A role for neural modeling in the study of brain disorders.
Highlights
In the past few decades, clinical research on brain disorders has become enriched by the addition of a number of new tools for characterizing and assessing brain function
In an article that reviews a variety of computational methods for characterizing functional brain connectivity from electrophysiological data, in the context of partial epilepsy, Wendling et al employ a physiologically plausible neural model to generate simulated data and illustrate how such modeling can be used to help interpret the experimental data
This Wendling et al study, along with some others (Horwitz et al, 1995; Schlosser et al, 2006; Husain, 2007; Alstott et al, 2009; Kim and Horwitz, 2009; van Albada et al, 2009; Rowe, 2010; Seghier et al, 2010), suggests that neural modeling may soon become a useful addition to the clinical research toolkit for investigating brain disorders
Summary
In the past few decades, clinical research on brain disorders has become enriched by the addition of a number of new tools for characterizing and assessing brain function. In an article that reviews a variety of computational methods for characterizing functional brain connectivity from electrophysiological data, in the context of partial epilepsy, Wendling et al employ a physiologically plausible neural model to generate simulated data and illustrate how such modeling can be used to help interpret the experimental data.
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