Spatio-Temporal Analysis of ERP Data

Kruggel F.1, Uhl C.2

1 University of California, Irvine, 2 Max-Planck-Institute of Cognitive Neuroscience, Leipzig

A new concept for analyzing ERP data is based on a projection of the spatio-temporal signal into the relevant phase space and the interpretation of the brain dynamics in terms of dynamical systems theory. The projection is obtained by a simultaneous determination of spatial modes and coefficients of differential equations. The resulting spatio-temporal model can be characterized by stationary points and corresponding potential field maps. Brain information processing can be interpreted by attraction and repulsion of spatial field distributions given by these stationary points. This allows an objective and quantitative characterization of the brain dynamics.

phase_a phase_b phase_c

Projection of spatiotemporal EEG signals in phase space (solid line) with time markers in msec (yellow diamonds). Half-arrows and coloring illustrate the obtained dynamical system and fixed points (fp, red diamonds) representing attractive spatial field distributions (standard (a), deviant (b), and novel (c) conditions).


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