Title of article :
Scalp electrical recording during paralysis: Quantitative evidence that EEG frequencies above 20 Hz are contaminated by EMG
Author/Authors :
Emma M. Whitham، نويسنده , , Kenneth J. Pope، نويسنده , , Sean P. Fitzgibbon، نويسنده , , Trent Lewis، نويسنده , , C. Richard Clark، نويسنده , , Stephen Loveless، نويسنده , , Marita Broberg، نويسنده , , Angus Wallace، نويسنده , , Dylan DeLosAngeles، نويسنده , , Peter Lillie، نويسنده , , Andrew Hardy، نويسنده , , Rik Fronsko، نويسنده , , Alyson Pulbrook، نويسنده , , John O. Willoughby، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Pages :
12
From page :
1877
To page :
1888
Abstract :
Objective To identify the possible contribution of electromyogram (EMG) to scalp electroencephalogram (EEG) rhythms at rest and induced or evoked by cognitive tasks. Methods Scalp EEG recordings were made on two subjects in presence and absence of complete neuromuscular blockade, sparing the dominant arm. The subjects undertook cognitive tasks in both states to allow direct comparison of electrical recordings. Results EEG rhythms in the paralysed state differed significantly compared with the unparalysed state, with 10- to 200-fold differences in the power of frequencies above 20 Hz during paralysis. Conclusions Most of the scalp EEG recording above 20 Hz is of EMG origin. Previous studies measuring gamma EEG need to be re-evaluated. Significance This has a significant impact on measurements of gamma rhythms from the scalp EEG in unparalysed humans. It is to be hoped that signal separation methods will be able to rectify this situation.
Keywords :
Very high frequency , Gamma oscillations , Auditory odd-ball , Spectra , Neuromuscular blockade , EEG
Journal title :
Clinical Neurophysiology
Serial Year :
2007
Journal title :
Clinical Neurophysiology
Record number :
524127
Link To Document :
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