EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions.

Cognition Electrophysiology Event-related-potentials Neural oscillations Neural synchronisation Neuromodulation

Journal

Brain and cognition
ISSN: 1090-2147
Titre abrégé: Brain Cogn
Pays: United States
ID NLM: 8218014

Informations de publication

Date de publication:
03 2021
Historique:
received: 04 10 2020
revised: 26 12 2020
accepted: 27 12 2020
pubmed: 25 1 2021
medline: 28 4 2021
entrez: 24 1 2021
Statut: ppublish

Résumé

Neural oscillations and their association with brain states and cognitive functions have been object of extensive investigation over the last decades. Several electroencephalography (EEG) and magnetoencephalography (MEG) analysis approaches have been explored and oscillatory properties have been identified, in parallel with the technical and computational advancement. This review provides an up-to-date account of how EEG/MEG oscillations have contributed to the understanding of cognition. Methodological challenges, recent developments and translational potential, along with future research avenues, are discussed.

Identifiants

pubmed: 33486194
pii: S0278-2626(20)30280-3
doi: 10.1016/j.bandc.2020.105677
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

105677

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Carolina Beppi (C)

Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland; Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland. Electronic address: carolina.beppi@usz.ch.

Inês Ribeiro Violante (I)

Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom; School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom. Electronic address: inesviolante@gmail.com.

Gregory Scott (G)

Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom. Electronic address: gregory.scott99@imperial.ac.uk.

Stefano Sandrone (S)

Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom. Electronic address: sandrone.stefano@gmail.com.

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Classifications MeSH