 |
 |
 |
Journal articles
Decoding the circuitry of consciousness From local microcircuits to brain-scale networks
Abstract : 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. © 2019 Massachusetts Institute of Technology.
Cited literature [136 references]
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02569431
Contributor : Laurent Jonchère <>
Submitted on : Friday, July 10, 2020 - 11:58:49 AM
Last modification on : Monday, January 18, 2021 - 11:39:52 AM
Long-term archiving on: : Monday, November 30, 2020 - 7:43:07 PM
Contributor : Laurent Jonchère <>
Submitted on : Friday, July 10, 2020 - 11:58:49 AM
Last modification on : Monday, January 18, 2021 - 11:39:52 AM
Long-term archiving on: : Monday, November 30, 2020 - 7:43:07 PM
File
hal-02569431.pdf
Publication funded by an institution
Licence
Distributed under a Creative Commons Attribution 4.0 International License