Local networks from different parts of the human cerebral cortex generate and share the same population dynamic.
attractor properties
brain theory
cortical dynamics
fluctuations and oscillations
single trials
Journal
Cerebral cortex communications
ISSN: 2632-7376
Titre abrégé: Cereb Cortex Commun
Pays: United States
ID NLM: 101767128
Informations de publication
Date de publication:
2022
2022
Historique:
received:
05
10
2022
revised:
05
10
2022
accepted:
10
10
2022
entrez:
19
12
2022
pubmed:
20
12
2022
medline:
20
12
2022
Statut:
epublish
Résumé
A major goal of neuroscience is to reveal mechanisms supporting collaborative actions of neurons in local and larger-scale networks. However, no clear overall principle of operation has emerged despite decades-long experimental efforts. Here, we used an unbiased method to extract and identify the dynamics of local postsynaptic network states contained in the cortical field potential. Field potentials were recorded by depth electrodes targeting a wide selection of cortical regions during spontaneous activities, and sensory, motor, and cognitive experimental tasks. Despite different architectures and different activities, all local cortical networks generated the same type of dynamic confined to one region only of state space. Surprisingly, within this region, state trajectories expanded and contracted continuously during all brain activities and generated a single expansion followed by a contraction in a single trial
Identifiants
pubmed: 36530950
doi: 10.1093/texcom/tgac040
pii: tgac040
pmc: PMC9753090
doi:
Types de publication
Journal Article
Langues
eng
Pagination
tgac040Informations de copyright
© The Author(s) 2022. Published by Oxford University Press.
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