Chaos analysis of EEG during isoflurane-induced loss of righting in rats

It has long been known that electroencephalogram (EEG) signals generate chaotic strange attractors and the shape of these attractors correlate with depth of anesthesia. We applied chaos analysis to frontal cortical and hippocampal micro-EEG signals from implanted microelectrodes (layer 4 and CA1, re...

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Main Authors: Bruce eMaciver, Brian H Bland
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-10-01
Series:Frontiers in Systems Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00203/full
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spelling doaj-d916813076634b04bf5d9cd4c412cb032020-11-24T22:55:54ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372014-10-01810.3389/fnsys.2014.00203117963Chaos analysis of EEG during isoflurane-induced loss of righting in ratsBruce eMaciver0Brian H Bland1Stanford UniveristyUniveristy of CalgaryIt has long been known that electroencephalogram (EEG) signals generate chaotic strange attractors and the shape of these attractors correlate with depth of anesthesia. We applied chaos analysis to frontal cortical and hippocampal micro-EEG signals from implanted microelectrodes (layer 4 and CA1, respectively). Rats were taken to and from loss of righting reflex (LORR) with isoflurane and behavioral measures were compared to attractor shape. Resting EEG signals at LORR differed markedly from awake signals, more similar to slow wave sleep signals, and easily discerned in raw recordings (high amplitude slow waves), and in fast Fourier transform analysis (FFT; increased delta power), in good agreement with previous studies. EEG activation stimulated by turning rats on their side, to test righting, produced signals quite similar to awake resting state EEG signals. That is, the high amplitude slow wave activity changed to low amplitude fast activity that lasted for several seconds, before returning to slow wave activity. This occurred regardless of whether the rat was able to right itself, or not. Testing paw pinch and tail clamp responses produced similar EEG activations, even from deep anesthesia when burst suppression dominated the spontaneous EEG. Chaotic attractor shape was far better at discerning between these awake-like signals, at loss of responses, than was FFT analysis. Comparisons are provided between FFT and chaos analysis of EEG during awake walking, slow wave sleep, and isoflurane-induced effects at several depths of anesthesia. Attractors readily discriminated between natural sleep and isoflurane-induced ‘delta’ activity. Chaotic attractor shapes changed gradually through the transition from awake to LORR, indicating that this was not an on/off like transition, but rather a point along a continuum of brain states.http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00203/fullAnesthesiaBehaviorConsciousnessHippocampusIsofluraneSleep
collection DOAJ
language English
format Article
sources DOAJ
author Bruce eMaciver
Brian H Bland
spellingShingle Bruce eMaciver
Brian H Bland
Chaos analysis of EEG during isoflurane-induced loss of righting in rats
Frontiers in Systems Neuroscience
Anesthesia
Behavior
Consciousness
Hippocampus
Isoflurane
Sleep
author_facet Bruce eMaciver
Brian H Bland
author_sort Bruce eMaciver
title Chaos analysis of EEG during isoflurane-induced loss of righting in rats
title_short Chaos analysis of EEG during isoflurane-induced loss of righting in rats
title_full Chaos analysis of EEG during isoflurane-induced loss of righting in rats
title_fullStr Chaos analysis of EEG during isoflurane-induced loss of righting in rats
title_full_unstemmed Chaos analysis of EEG during isoflurane-induced loss of righting in rats
title_sort chaos analysis of eeg during isoflurane-induced loss of righting in rats
publisher Frontiers Media S.A.
series Frontiers in Systems Neuroscience
issn 1662-5137
publishDate 2014-10-01
description It has long been known that electroencephalogram (EEG) signals generate chaotic strange attractors and the shape of these attractors correlate with depth of anesthesia. We applied chaos analysis to frontal cortical and hippocampal micro-EEG signals from implanted microelectrodes (layer 4 and CA1, respectively). Rats were taken to and from loss of righting reflex (LORR) with isoflurane and behavioral measures were compared to attractor shape. Resting EEG signals at LORR differed markedly from awake signals, more similar to slow wave sleep signals, and easily discerned in raw recordings (high amplitude slow waves), and in fast Fourier transform analysis (FFT; increased delta power), in good agreement with previous studies. EEG activation stimulated by turning rats on their side, to test righting, produced signals quite similar to awake resting state EEG signals. That is, the high amplitude slow wave activity changed to low amplitude fast activity that lasted for several seconds, before returning to slow wave activity. This occurred regardless of whether the rat was able to right itself, or not. Testing paw pinch and tail clamp responses produced similar EEG activations, even from deep anesthesia when burst suppression dominated the spontaneous EEG. Chaotic attractor shape was far better at discerning between these awake-like signals, at loss of responses, than was FFT analysis. Comparisons are provided between FFT and chaos analysis of EEG during awake walking, slow wave sleep, and isoflurane-induced effects at several depths of anesthesia. Attractors readily discriminated between natural sleep and isoflurane-induced ‘delta’ activity. Chaotic attractor shapes changed gradually through the transition from awake to LORR, indicating that this was not an on/off like transition, but rather a point along a continuum of brain states.
topic Anesthesia
Behavior
Consciousness
Hippocampus
Isoflurane
Sleep
url http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00203/full
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