Cortical distance, not cancellation, dominates inter-subject EEG gamma rhythm amplitude.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 05 2019
Historique:
received: 09 01 2019
accepted: 05 03 2019
pubmed: 13 3 2019
medline: 21 12 2019
entrez: 13 3 2019
Statut: ppublish

Résumé

The neurophysiological response to visual stimulation in both humans and animals is characterized by an increase in high frequency amplitude peaking in the gamma range (40-100Hz) and a suppression of low frequency amplitude peaking in the alpha range (10-16Hz). Due to the large number of studies linking amplitude and peak frequency to perception and neurological disorders, there is great interest in understanding the basis of inter-subject variability in gamma and alpha responses. To address this, we measured gamma and alpha amplitude and peak frequency of response to visual stimulation in 42 healthy humans. Using FMRI to delineate active cortical tissue in the same subjects, we correlated these neurophysiological metrics with two structural metrics: distance from active cortex to electrode, and dipole cancellation over active cortex. We find that distance strongly predicted inter-subject gamma amplitude, but had little effect on alpha amplitude, while cancellation had little effect on gamma or alpha amplitude. Neither alpha peak frequency nor gamma peak frequency correlated with our structural metrics. These results suggest that inter-subject variability in gamma amplitude may reflect gross morphology rather than neurophysiological variability, and should be interpreted with caution, while peak frequency may serve as a more sensitive metric of differences in neuronal activity across subjects.

Identifiants

pubmed: 30858117
pii: S1053-8119(19)30177-6
doi: 10.1016/j.neuroimage.2019.03.010
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

156-165

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Russell Butler (R)

Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada. Electronic address: Russell.Buttler@usherbrooke.ca.

Pierre-Michel Bernier (PM)

Department of Kinanthropology, University of Sherbrooke, Sherbrooke, Quebec, J1K 2R1, Canada.

Gregory W Mierzwinski (GW)

Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada.

Maxime Descoteaux (M)

Sherbrooke Connectivity Imaging Lab, Computer Science Department, Faculty of Science, Université de Sherbrooke, Sherbrooke, J1K 2R1, Canada.

Guillaume Gilbert (G)

MR Clinical Science, Philips Healthcare Canada, 281 Hillmount Road, Markham, Ontario, L6C 2S3, Canada.

Kevin Whittingstall (K)

Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, Québec, J1K 2R1, Canada; Department of Diagnostic Radiology, Faculty of Medicine and Health Science, Université de Sherbrooke, 12e Avenue Nord, Sherbrooke, QC, J1H 5N4, Canada. Electronic address: kevin.whittingstall@usherbrooke.ca.

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