Open AccessDynamics of spontaneous transitions between global brain states
Author(s) -
Ito Junji,
Nikolaev Andrey R.,
Leeuwen Cees van
Publication year - 2007
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.20316
Subject(s) - predictability , chaotic , statistical physics , dynamics (music) , series (stratigraphy) , electroencephalography , phase locking , phase transition , physics , surrogate data , phase (matter) , neuroscience , psychology , computer science , nonlinear system , artificial intelligence , quantum mechanics , biology , paleontology , acoustics
Phase patterns of human scalp alpha EEG activity show spontaneous transitions between different globally phase‐synchronized states. We studied the dynamical properties of these transitions using the method of symbolic dynamics. We found greater predictability (deterministicity) and heterogeneity in the dynamics than what was expected from corresponding surrogate series in which linear correlations are retained. A possible explanation of these observations within the framework of chaotic itinerancy is discussed. Hum Brain Mapp, 2007. © 2007 Wiley‐Liss, Inc.