Document Detail

Classes of multichannel EEG microstates in light and deep hypnotic conditions.
MedLine Citation:
PMID:  17587166     Owner:  NLM     Status:  MEDLINE    
The study assessed the brain electric mechanisms of light and deep hypnotic conditions in the framework of EEG temporal microstates. Multichannel EEG of healthy volunteers during initial resting, light hypnosis, deep hypnosis, and eventual recovery was analyzed into temporal EEG microstates of four classes. Microstates are defined by the spatial configuration of their potential distribution maps ([Symbol: see text]potential landscapes') on the head surface. Because different potential landscapes must have been generated by different active neural assemblies, it is reasonable to assume that they also incorporate different brain functions. The observed four microstate classes were very similar to the four standard microstate classes A, B, C, D [Koenig, T. et al. Neuroimage, 2002;16: 41-8] and were labeled correspondingly. We expected a progression of microstate characteristics from initial resting to light to deep hypnosis. But, all three microstate parameters (duration, occurrence/second and %time coverage) yielded values for initial resting and final recovery that were between those of the two hypnotic conditions of light and deep hypnosis. Microstates of the classes B and D showed decreased duration, occurrence/second and %time coverage in deep hypnosis compared to light hypnosis; this was contrary to microstates of classes A and C which showed increased values of all three parameters. Reviewing the available information about microstates in other conditions, the changes from resting to light hypnosis in certain respects are reminiscent of changes to meditation states, and changes to deep hypnosis of those in schizophrenic states.
Hitoshi Katayama; Lorena R R Gianotti; Toshiaki Isotani; Pascal L Faber; Kyohei Sasada; Toshihiko Kinoshita; Dietrich Lehmann
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Publication Detail:
Type:  Journal Article     Date:  2007-06-21
Journal Detail:
Title:  Brain topography     Volume:  20     ISSN:  0896-0267     ISO Abbreviation:  Brain Topogr     Publication Date:  2007  
Date Detail:
Created Date:  2007-08-16     Completed Date:  2007-10-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8903034     Medline TA:  Brain Topogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  7-14     Citation Subset:  IM    
The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, CH-8032 Zurich, Switzerland.
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MeSH Terms
Brain Mapping
Rest / physiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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