Entrainment and synchronization of brain oscillations to auditory stimulations.

Auditory stimulation EEG oscillations Neuromodulation Oscillology

Journal

Neuroscience research
ISSN: 1872-8111
Titre abrégé: Neurosci Res
Pays: Ireland
ID NLM: 8500749

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 08 08 2019
revised: 25 11 2019
accepted: 12 12 2019
pubmed: 24 3 2020
medline: 15 5 2021
entrez: 24 3 2020
Statut: ppublish

Résumé

Oscillations of neural excitability shape sensory, motor or cognitive processes. Furthermore, a large body of research demonstrates that intrinsic oscillations are entrained by external rhythms, allowing a simple and efficient way to enhance human brain functions. As an external stimulation source, repeating acoustic stimuli have been shown to provide a possible pacing signal for modulating the electrical activity recorded by the electroencephalogram (EEG). In this review, we discuss recent advances in understanding how rhythmic auditory stimulation can selectively modulate EEG oscillations. Despite growing evidence, recent evidence suggests that standard methods of data analysis are often insufficient for a definite proof of entrainment in some instances. In particular, we stressed that the complexity of the elicited modulations, often varying in phase and frequency on a short timescale, requires time-frequency measures that are better appropriate to analyze driven brain phenomena. Once entrainment is clearly established, one can assess the specificity of its expression, thus providing a better understanding of the physiology underlying brain modulation and a faster translation to treatment programs in various psychopathologic conditions.

Identifiants

pubmed: 32201357
pii: S0168-0102(20)30159-0
doi: 10.1016/j.neures.2020.03.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

271-278

Informations de copyright

Copyright © 2020 Elsevier B.V. and Japan Neuroscience Society. All rights reserved.

Auteurs

David Henao (D)

Department of Biomedical Engineering, Universidad de Los Andes, Bogotá D.C., Colombia. Electronic address: dl.henao909@uniandes.edu.co.

Miguel Navarrete (M)

Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.

Mario Valderrama (M)

Department of Biomedical Engineering, Universidad de Los Andes, Bogotá D.C., Colombia.

Michel Le Van Quyen (M)

Laboratoire d'Imagerie Biomédicale (LIB), U1146 INSERM- SU - CNRS 7371, Campus des Cordeliers, 15 rue de l'Ecole de Médecine, Paris, France.

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Classifications MeSH