Gamma oscillations and episodic memory.

electrophysiology episodic memory neural communication neural oscillations sequence learning synaptic plasticity

Journal

Trends in neurosciences
ISSN: 1878-108X
Titre abrégé: Trends Neurosci
Pays: England
ID NLM: 7808616

Informations de publication

Date de publication:
10 2023
Historique:
received: 09 04 2023
revised: 20 06 2023
accepted: 16 07 2023
medline: 22 9 2023
pubmed: 8 8 2023
entrez: 7 8 2023
Statut: ppublish

Résumé

Enhanced gamma oscillatory activity (30-80 Hz) accompanies the successful formation and retrieval of episodic memories. While this co-occurrence is well documented, the mechanistic contributions of gamma oscillatory activity to episodic memory remain unclear. Here, we review how gamma oscillatory activity may facilitate spike timing-dependent plasticity, neural communication, and sequence encoding/retrieval, thereby ensuring the successful formation and/or retrieval of an episodic memory. Based on the evidence reviewed, we propose that multiple, distinct forms of gamma oscillation can be found within the canonical gamma band, each of which has a complementary role in the neural processes listed above. Further exploration of these theories using causal manipulations may be key to elucidating the relevance of gamma oscillatory activity to episodic memory.

Identifiants

pubmed: 37550159
pii: S0166-2236(23)00163-7
doi: 10.1016/j.tins.2023.07.003
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

832-846

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interest.

Auteurs

Benjamin J Griffiths (BJ)

Centre for Human Brain Health, University of Birmingham, Birmingham, UK. Electronic address: b.griffiths.1@bham.ac.uk.

Ole Jensen (O)

Centre for Human Brain Health, University of Birmingham, Birmingham, UK.

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Classifications MeSH