Managing electromyogram contamination in scalp recordings: An approach identifying reliable beta and gamma EEG features of psychoses or other disorders.

Autor: Pope KJ; College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.; Medical Device Research Institute, Flinders University, Adelaide, South Australia, Australia., Lewis TW; College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.; Medical Device Research Institute, Flinders University, Adelaide, South Australia, Australia., Fitzgibbon SP; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Janani AS; College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia., Grummett TS; College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.; Medical Device Research Institute, Flinders University, Adelaide, South Australia, Australia.; Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia., Williams PAH; College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.; Flinders Digital Health Research Centre, Flinders University, Adelaide, South Australia, Australia., Battersby M; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.; Department of Psychiatry, Flinders Medical Centre, Adelaide, South Australia, Australia., Bastiampillai T; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.; Department of Psychiatry, Flinders Medical Centre, Adelaide, South Australia, Australia., Whitham EM; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.; Department of Neurology, Flinders Medical Centre, Adelaide, South Australia, Australia., Willoughby JO; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.; Department of Neurology, Flinders Medical Centre, Adelaide, South Australia, Australia.
Jazyk: angličtina
Zdroj: Brain and behavior [Brain Behav] 2022 Sep; Vol. 12 (9), pp. e2721. Date of Electronic Publication: 2022 Aug 02.
DOI: 10.1002/brb3.2721
Abstrakt: Objective: In publications on the electroencephalographic (EEG) features of psychoses and other disorders, various methods are utilized to diminish electromyogram (EMG) contamination. The extent of residual EMG contamination using these methods has not been recognized. Here, we seek to emphasize the extent of residual EMG contamination of EEG.
Methods: We compared scalp electrical recordings after applying different EMG-pruning methods with recordings of EMG-free data from 6 fully paralyzed healthy subjects. We calculated the ratio of the power of pruned, normal scalp electrical recordings in the six subjects, to the power of unpruned recordings in the same subjects when paralyzed. We produced "contamination graphs" for different pruning methods.
Results: EMG contamination exceeds EEG signals progressively more as frequencies exceed 25 Hz and with distance from the vertex. In contrast, Laplacian signals are spared in central scalp areas, even to 100 Hz.
Conclusion: Given probable EMG contamination of EEG in psychiatric and other studies, few findings on beta- or gamma-frequency power can be relied upon. Based on the effectiveness of current methods of EEG de-contamination, investigators should be able to reanalyze recorded data, reevaluate conclusions from high-frequency EEG data, and be aware of limitations of the methods.
(© 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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