Literature DB >> 8403444

The topography of muscle activity in quantitative EEG.

J Willis1, A Nelson, J Rice, F W Black.   

Abstract

Ten normal preadolescent subjects were studied on three occasions with quantitative EEG topography: two sessions recorded EEG that was free of artifact, but during the third the subjects were instructed to clench their teeth and tighten their faces to produce muscle artifact. The sessions were then compared for stability of various frequencies at standard scalp electrode sites. The posterior electrodes were stable among sessions for frequencies up to 24 Hz; the anterior electrodes were less stable, and above 24 Hz there were no stable electrode sites. Muscle artifact contaminates anterior electrode sites more than posterior sites, making the posterior scalp electrodes superior for studying beta activity in quantitative EEG. Frequencies above 24 Hz are contaminated at all sites and therefore cannot be assessed reliably in the presence of muscle artifact.

Mesh:

Year:  1993        PMID: 8403444     DOI: 10.1177/155005949302400310

Source DB:  PubMed          Journal:  Clin Electroencephalogr        ISSN: 0009-9155


  5 in total

1.  When EMG contamination does not necessarily hide high-frequency EEG: scalp electrical recordings before and after Dysport injections.

Authors:  Julia A Boytsova; Sergey G Danko; Svyatoslav V Medvedev
Journal:  Exp Brain Res       Date:  2016-06-27       Impact factor: 1.972

2.  Inherent physiological artifacts in EEG during tDCS.

Authors:  Nigel Gebodh; Zeinab Esmaeilpour; Devin Adair; Kenneth Chelette; Jacek Dmochowski; Adam J Woods; Emily S Kappenman; Lucas C Parra; Marom Bikson
Journal:  Neuroimage       Date:  2018-10-12       Impact factor: 6.556

3.  Validation of regression-based myogenic correction techniques for scalp and source-localized EEG.

Authors:  Brenton W McMenamin; Alexander J Shackman; Jeffrey S Maxwell; Lawrence L Greischar; Richard J Davidson
Journal:  Psychophysiology       Date:  2009-03-04       Impact factor: 4.016

4.  Validation of ICA-based myogenic artifact correction for scalp and source-localized EEG.

Authors:  Brenton W McMenamin; Alexander J Shackman; Jeffrey S Maxwell; David R W Bachhuber; Adam M Koppenhaver; Lawrence L Greischar; Richard J Davidson
Journal:  Neuroimage       Date:  2009-10-13       Impact factor: 6.556

5.  Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking.

Authors:  Kevin Nathan; Jose L Contreras-Vidal
Journal:  Front Hum Neurosci       Date:  2016-01-13       Impact factor: 3.169

  5 in total

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