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Dynamical interactions reconfigure the gradient of cortical timescales.
Sorrentino, P; Rabuffo, G; Baselice, F; Troisi Lopez, E; Liparoti, M; Quarantelli, M; Sorrentino, G; Bernard, C; Jirsa, V.
Affiliation
  • Sorrentino P; Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.
  • Rabuffo G; Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy.
  • Baselice F; Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.
  • Troisi Lopez E; Department of Engineering, Parthenope University of Naples, Naples, Italy.
  • Liparoti M; Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.
  • Quarantelli M; Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy.
  • Sorrentino G; Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.
  • Bernard C; Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy.
  • Jirsa V; Biostructure and Bioimaging Institute, National Research Council, Naples, Italy.
Netw Neurosci ; 7(1): 73-85, 2023.
Article in En | MEDLINE | ID: mdl-37334007
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Netw Neurosci Year: 2023 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Netw Neurosci Year: 2023 Document type: Article Affiliation country: France