NDLI: Classes of Multichannel EEG Microstates in Light and Deep Hypnotic Conditions

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Classes of Multichannel EEG Microstates in Light and Deep Hypnotic Conditions

Content Provider	Springer Nature Link
Author	Katayama, Hitoshi Giatti, Lorena R. R. Isotani, Toshiaki Faber, Pascal L. Sasada, Kyohei Kishita, Toshihiko Lehmann, Dietrich
Copyright Year	2007
Abstract	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 (‹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.
Starting Page	7
Ending Page	14
Page Count	8
File Format	PDF
ISSN	08960267
Journal	Brain Topography
Volume Number	20
Issue Number	1
e-ISSN	15736792
Language	English
Publisher	Springer US
Publisher Date	2007-06-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	EEG Microstates Hypnosis Multichannel EEG Schizophrenia Meditation Neurology Psychiatry Neurosciences
Content Type	Text
Resource Type	Article
Subject	Neurology Anatomy Radiology, Nuclear Medicine and Imaging Neurology (clinical) Radiological and Ultrasound Technology

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