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  Macroscopic quantities of collective brain activity during wakefulness and anesthesia

Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M., Kringelbach, M. L., Jarraya, B., et al. (2022). Macroscopic quantities of collective brain activity during wakefulness and anesthesia. Cerebral Cortex, 32(2), 298-311. doi:10.1093/cercor/bhab209.

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Ponce-Alvarez, Adrián1, Author
Uhrig, Lynn2, Author
Deco, Nikolas1, Author
Signorelli, Camilo M.1, 2, 3, Author
Kringelbach, Morten L.3, 4, 5, Author
Jarraya, Béchir2, 6, 7, 8, Author
Deco, Gustavo1, 9, 10, 11, Author              
1Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Neurospin, French Alternative Energies and Atomic Energy Commission (CEA), Gif-sur-Yvette, France, ou_persistent22              
3Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
4Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
5ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              
6Unité de recherche en Neuroimagerie Cognitive (UNICOG), Gif-sur-Yvette, France, ou_persistent22              
7Université Paris-Saclay, France, ou_persistent22              
8Neuromodulation Unit, Foch Hospital, Suresnes, France, ou_persistent22              
9Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
10Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
11School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              


Free keywords: Brain states; Collective activity; Consciousness; fMR; Imaximum entropy models; Phase transitions
 Abstract: The study of states of arousal is key to understand the principles of consciousness. Yet, how different brain states emerge from the collective activity of brain regions remains unknown. Here, we studied the fMRI brain activity of monkeys during wakefulness and anesthesia-induced loss of consciousness. We showed that the coupling between each brain region and the rest of the cortex provides an efficient statistic to classify the two brain states. Based on this and other statistics, we estimated maximum entropy models to derive collective, macroscopic properties that quantify the system's capabilities to produce work, to contain information, and to transmit it, which were all maximized in the awake state. The differences in these properties were consistent with a phase transition from critical dynamics in the awake state to supercritical dynamics in the anesthetized state. Moreover, information-theoretic measures identified those parameters that impacted the most the network dynamics. We found that changes in the state of consciousness primarily depended on changes in network couplings of insular, cingulate, and parietal cortices. Our findings suggest that the brain state transition underlying the loss of consciousness is predominantly driven by the uncoupling of specific brain regions from the rest of the network.


Language(s): eng - English
 Dates: 2021-06-022021-03-242021-06-072021-07-072022-01-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1093/cercor/bhab209
PMID: 34231843
 Degree: -



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Source 1

Title: Cerebral Cortex
Source Genre: Journal
Publ. Info: New York, NY : Oxford University Press
Pages: - Volume / Issue: 32 (2) Sequence Number: - Start / End Page: 298 - 311 Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440