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Spatial extension of brain activity fools the single‐channel reconstruction of EEG dynamics
Author(s) -
Lachaux JeanPhilippe,
Pezard Laurent,
Garnero Line,
Pelte Christophe,
Renault Bernard,
Varela Francisco J.,
Martinerie Jacques
Publication year - 1997
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/(sici)1097-0193(1997)5:1<26::aid-hbm4>3.0.co;2-p
Subject(s) - hum , channel (broadcasting) , extension (predicate logic) , computer science , dimension (graph theory) , set (abstract data type) , electroencephalography , correlation dimension , pattern recognition (psychology) , artificial intelligence , brain activity and meditation , data set , algorithm , basis (linear algebra) , series (stratigraphy) , dynamics (music) , statistical physics , mathematics , neuroscience , physics , psychology , geology , acoustics , mathematical analysis , geometry , fractal dimension , art , computer network , fractal , programming language , art history , performance art , pure mathematics , paleontology
We report here on a first attempt to settle the methodological controversy between advocates of two alternative reconstruction approaches for temporal dynamics in brain signals: the single‐channel method (using data from one recording site and reconstructing by time‐lags), and the multiple‐channel method (using data from a spatially distributed set of recordings sites and reconstructing by means of spatial position). For the purpose of a proper comparison of these two techniques, we computed a series of EEG‐like measures on the basis of well‐known dynamical systems placed inside a spherical model of the head. For each of the simulations, the correlation dimension estimates obtained by both methods were calculated and compared, when possible, with the known (or estimated) dimension of the underlying dynamical system. We show that the single‐channel method fails to reliably quantify spatially extended dynamics, while the multichannel method performs better. It follows that the latter is preferable, given the known spatially distributed nature of brain processes. Hum. Brain Mapping 5:26–47, 1997. © 1997 Wiley‐Liss, Inc.

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