Challenges and Approaches in the Study of Neural Entrainment.

dynamical systems evoked response neural oscillations sensory rhythms synchronization

Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
02 Oct 2024
Historique:
received: 30 06 2024
revised: 19 07 2024
accepted: 23 07 2024
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 2 10 2024
Statut: epublish

Résumé

When exposed to rhythmic stimulation, the human brain displays rhythmic activity across sensory modalities and regions. Given the ubiquity of this phenomenon, how sensory rhythms are transformed into neural rhythms remains surprisingly inconclusive. An influential model posits that endogenous oscillations entrain to external rhythms, thereby encoding environmental dynamics and shaping perception. However, research on neural entrainment faces multiple challenges, from ambiguous definitions to methodological difficulties when endogenous oscillations need to be identified and disentangled from other stimulus-related mechanisms that can lead to similar phase-locked responses. Yet, recent years have seen novel approaches to overcome these challenges, including computational modeling, insights from dynamical systems theory, sophisticated stimulus designs, and study of neuropsychological impairments. This review outlines key challenges in neural entrainment research, delineates state-of-the-art approaches, and integrates findings from human and animal neurophysiology to provide a broad perspective on the usefulness, validity, and constraints of oscillatory models in brain-environment interaction.

Identifiants

pubmed: 39358026
pii: 44/40/e1234242024
doi: 10.1523/JNEUROSCI.1234-24.2024
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 the authors.

Déclaration de conflit d'intérêts

The authors declare no competing financial interests.

Auteurs

Katharina Duecker (K)

Department of Neuroscience, Brown University, Providence, Rhode Island 02912.

Keith B Doelling (KB)

Université Paris Cité, Institut Pasteur, AP-HP, Inserm, Fondation Pour l'Audition, Institut de l'Audition, IHU reConnect, Paris F-75012, France.

Assaf Breska (A)

Max-Planck Institute for Biological Cybernetics, D-72076 Tübingen, Germany.

Emily B J Coffey (EBJ)

Concordia University, Montréal, Quebec H3G 1M8, Canada.

Digavalli V Sivarao (DV)

Department of Pharmaceutical Sciences, East Tennessee State University, Johnson City, Tennessee 37614.

Benedikt Zoefel (B)

Centre de Recherche Cerveau et Cognition (CerCo), UMR 5549 CNRS - Université Paul Sabatier Toulouse III, Toulouse F-31052, France benedikt.zoefel@cnrs.fr.

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Classifications MeSH