Decoding the circuitry of consciousness: From local microcircuits to brain-scale networks.
Communication through coherence
Disorders of consciousness
Electroencephalography
Functional connectivity
Gating by inhibition
Micro-circuitry
Journal
Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149
Informations de publication
Date de publication:
2020
2020
Historique:
received:
29
07
2019
accepted:
09
12
2019
entrez:
16
6
2020
pubmed:
17
6
2020
medline:
17
6
2020
Statut:
epublish
Résumé
Identifying the physiological processes underlying the emergence and maintenance of consciousness is one of the most fundamental problems of neuroscience, with implications ranging from fundamental neuroscience to the treatment of patients with disorders of consciousness (DOCs). One major challenge is to understand how cortical circuits at drastically different spatial scales, from local networks to brain-scale networks, operate in concert to enable consciousness, and how those processes are impaired in DOC patients. In this review, we attempt to relate available neurophysiological and clinical data with existing theoretical models of consciousness, while linking the micro- and macrocircuit levels. First, we address the relationships between awareness and wakefulness on the one hand, and cortico-cortical and thalamo-cortical connectivity on the other hand. Second, we discuss the role of three main types of GABAergic interneurons in specific circuits responsible for the dynamical reorganization of functional networks. Third, we explore advances in the functional role of nested oscillations for neural synchronization and communication, emphasizing the importance of the balance between local (high-frequency) and distant (low-frequency) activity for efficient information processing. The clinical implications of these theoretical considerations are presented. We propose that such cellular-scale mechanisms could extend current theories of consciousness.
Identifiants
pubmed: 32537530
doi: 10.1162/netn_a_00119
pii: netn_a_00119
pmc: PMC7286300
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
315-337Informations de copyright
© 2019 Massachusetts Institute of Technology.
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