Application of a neural complexity measure to multichannel EEG

M. J.A.M. Van Putten*, C. J. Stam

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We apply a recently suggested measure for neural complexity (G. Tononi, O. Sporns, G.M. Edelman, Proc. Natl. Acad. Sci. 91 (1994) 5033), that is hypothesised to capture the interplay between two fundamental aspects of brain organisation, functional segregation and integration, to human EEG recordings. This measure is based on a weighted sum of entropy differences evaluated at different length scales of the system. A strong prediction is that this measure correlates with the conscious state of the subject, having lower values if consciousness is reduced (G. Tononi, G.M. Edelman, Science 282 (1998) 1846). It is found, however, that this neural complexity measure increases in neurological disorders where consciousness is severely reduced or absent. We discuss several possible explanations for this observation and suggest directions for future work.

Original languageEnglish
Pages (from-to)131-141
Number of pages11
JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
Volume281
Issue number2-3
DOIs
Publication statusPublished - 19 Mar 2001

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