Dynamical interactions reconfigure the gradient of cortical timescales.

Brain dynamics Cortical gradients Cortical timescales Dynamical networks Edge connectivity

Journal

Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149

Informations de publication

Date de publication:
2023
Historique:
received: 24 04 2022
accepted: 14 07 2022
medline: 19 6 2023
pubmed: 19 6 2023
entrez: 19 6 2023
Statut: epublish

Résumé

The functional organization of the brain is usually presented with a back-to-front gradient of timescales, reflecting regional specialization with sensory areas (back) processing information faster than associative areas (front), which perform information integration. However, cognitive processes require not only local information processing but also coordinated activity across regions. Using magnetoencephalography recordings, we find that the functional connectivity at the edge level (between two regions) is also characterized by a back-to-front gradient of timescales following that of the regional gradient. Unexpectedly, we demonstrate a reverse front-to-back gradient when nonlocal interactions are prominent. Thus, the timescales are dynamic and can switch between back-to-front and front-to-back patterns.

Identifiants

pubmed: 37334007
doi: 10.1162/netn_a_00270
pii: netn_a_00270
pmc: PMC10270712
doi:

Types de publication

Journal Article

Langues

eng

Pagination

73-85

Informations de copyright

© 2022 Massachusetts Institute of Technology.

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Auteurs

P Sorrentino (P)

Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.
Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy.

G Rabuffo (G)

Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.

F Baselice (F)

Department of Engineering, Parthenope University of Naples, Naples, Italy.

E Troisi Lopez (E)

Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.
Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy.

M Liparoti (M)

Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.
Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy.

M Quarantelli (M)

Biostructure and Bioimaging Institute, National Research Council, Naples, Italy.

G Sorrentino (G)

Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy.
Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy.

C Bernard (C)

Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.

V Jirsa (V)

Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.

Classifications MeSH