Transient Amplitude Modulation of Alpha-Band Oscillations by Short-Time Intermittent Closed-Loop tACS.

EEG alpha closed-loop neural oscillations stimulation tACS

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2020
Historique:
received: 22 01 2020
accepted: 10 08 2020
entrez: 26 10 2020
pubmed: 27 10 2020
medline: 27 10 2020
Statut: epublish

Résumé

Non-invasive brain stimulation (NIBS) techniques such as transcranial alternating current stimulation (tACS) have recently become extensively utilized due to their potential to modulate ongoing neuronal oscillatory activity and consequently to induce cortical plasticity relevant for various cognitive functions. However, the neurophysiological basis for stimulation effects as well as their inter-individual differences is not yet understood. In the present study, we used a closed-loop electroencephalography-tACS(EEG-tACS) protocol to examine the modulation of alpha oscillations generated in occipito-parietal areas. In particular, we investigated the effects of a repeated short-time intermittent stimulation protocol (1 s in every trial) applied over the visual cortex (Cz and Oz) and adjusted according to the phase and frequency of visual alpha oscillations on the amplitude of these oscillations. Based on previous findings, we expected higher increases in alpha amplitudes for tACS applied in-phase with ongoing oscillations as compared to an application in anti-phase and this modulation to be present in low-alpha amplitude states of the visual system (eyes opened, EO) but not high (eyes closed, EC). Contrary to our expectations, we found a transient suppression of alpha power in inter-individually derived spatially specific parieto-occipital components obtained

Identifiants

pubmed: 33100993
doi: 10.3389/fnhum.2020.00366
pmc: PMC7500443
doi:

Types de publication

Journal Article

Langues

eng

Pagination

366

Informations de copyright

Copyright © 2020 Zarubin, Gundlach, Nikulin, Villringer and Bogdan.

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Auteurs

Georgy Zarubin (G)

Technical Informatics Department, Leipzig University, Leipzig, Germany.
Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Christopher Gundlach (C)

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Institute of Psychology, University of Leipzig, Leipzig, Germany.

Vadim Nikulin (V)

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia.

Arno Villringer (A)

Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Berlin, Germany.
Department of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.
Mind Brain Body Institute at the Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.

Martin Bogdan (M)

Technical Informatics Department, Leipzig University, Leipzig, Germany.

Classifications MeSH