NREM sleep stages specifically alter dynamical integration of large-scale brain networks

Summary: Functional dissociations in the brain observed during non-rapid eye movement (NREM) sleep have been associated with reduced information integration and impaired consciousness that accompany increasing sleep depth. Here, we explored the dynamical properties of large-scale functional brain ne...

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Main Authors: Anjali Tarun, Danyal Wainstein-Andriano, Virginie Sterpenich, Laurence Bayer, Lampros Perogamvros, Mark Solms, Nikolai Axmacher, Sophie Schwartz, Dimitri Van De Ville
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004220311202
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author Anjali Tarun
Danyal Wainstein-Andriano
Virginie Sterpenich
Laurence Bayer
Lampros Perogamvros
Mark Solms
Nikolai Axmacher
Sophie Schwartz
Dimitri Van De Ville
author_facet Anjali Tarun
Danyal Wainstein-Andriano
Virginie Sterpenich
Laurence Bayer
Lampros Perogamvros
Mark Solms
Nikolai Axmacher
Sophie Schwartz
Dimitri Van De Ville
author_sort Anjali Tarun
collection DOAJ
description Summary: Functional dissociations in the brain observed during non-rapid eye movement (NREM) sleep have been associated with reduced information integration and impaired consciousness that accompany increasing sleep depth. Here, we explored the dynamical properties of large-scale functional brain networks derived from transient brain activity using functional magnetic resonance imaging. Spatial brain maps generally display significant modifications in terms of their tendency to occur across wakefulness and NREM sleep. Unexpectedly, almost all networks predominated in activity during NREM stage 2 before an abrupt loss of activity is observed in NREM stage 3. Yet, functional connectivity and mutual dependencies between these networks progressively broke down with increasing sleep depth. Thus, the efficiency of information transfer during NREM stage 2 is low despite the high attempt to communicate. Critically, our approach provides relevant data for evaluating functional brain network integrity and our findings robustly support a significant advance in our neural models of human sleep and consciousness.
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spelling doaj.art-0c9cb50f9b7f4cd88daa115dd897b7fa2022-12-21T21:33:20ZengElsevieriScience2589-00422021-01-01241101923NREM sleep stages specifically alter dynamical integration of large-scale brain networksAnjali Tarun0Danyal Wainstein-Andriano1Virginie Sterpenich2Laurence Bayer3Lampros Perogamvros4Mark Solms5Nikolai Axmacher6Sophie Schwartz7Dimitri Van De Ville8École Polytechnique Fédérale de Lausanne (Institute of Bioengineering, Medical Image Processing Laboratory), Geneva 1202, Switzerland; University of Geneva (Department of Radiology and Medical Informatics), Geneva 1202, Switzerland; Corresponding authorUniversity of Cape Town (Psychology Department, Faculty of Humanities), Cape Town 7701, South Africa; Ruhr-Universität Bochum (Institute of Cognitive Neuroscience, Faculty of Psychology), Ruhr 44801, GermanyUniversity of Geneva, (Department of Basic Neurosciences), Geneva 1202, SwitzerlandUniversity Hospitals of Geneva (Center for Sleep Medicine, Department of Medicine), Geneva 1202, SwitzerlandUniversity of Geneva, (Department of Basic Neurosciences), Geneva 1202, Switzerland; University Hospitals of Geneva (Center for Sleep Medicine, Department of Medicine), Geneva 1202, SwitzerlandUniversity of Cape Town (Psychology Department, Faculty of Humanities), Cape Town 7701, South AfricaRuhr-Universität Bochum (Institute of Cognitive Neuroscience, Faculty of Psychology), Ruhr 44801, GermanyUniversity of Geneva, (Department of Basic Neurosciences), Geneva 1202, SwitzerlandÉcole Polytechnique Fédérale de Lausanne (Institute of Bioengineering, Medical Image Processing Laboratory), Geneva 1202, Switzerland; University of Geneva (Department of Radiology and Medical Informatics), Geneva 1202, SwitzerlandSummary: Functional dissociations in the brain observed during non-rapid eye movement (NREM) sleep have been associated with reduced information integration and impaired consciousness that accompany increasing sleep depth. Here, we explored the dynamical properties of large-scale functional brain networks derived from transient brain activity using functional magnetic resonance imaging. Spatial brain maps generally display significant modifications in terms of their tendency to occur across wakefulness and NREM sleep. Unexpectedly, almost all networks predominated in activity during NREM stage 2 before an abrupt loss of activity is observed in NREM stage 3. Yet, functional connectivity and mutual dependencies between these networks progressively broke down with increasing sleep depth. Thus, the efficiency of information transfer during NREM stage 2 is low despite the high attempt to communicate. Critically, our approach provides relevant data for evaluating functional brain network integrity and our findings robustly support a significant advance in our neural models of human sleep and consciousness.http://www.sciencedirect.com/science/article/pii/S2589004220311202Medical ImagingSystems NeuroscienceCognitive NeuroscienceTechniques in Neuroscience
spellingShingle Anjali Tarun
Danyal Wainstein-Andriano
Virginie Sterpenich
Laurence Bayer
Lampros Perogamvros
Mark Solms
Nikolai Axmacher
Sophie Schwartz
Dimitri Van De Ville
NREM sleep stages specifically alter dynamical integration of large-scale brain networks
iScience
Medical Imaging
Systems Neuroscience
Cognitive Neuroscience
Techniques in Neuroscience
title NREM sleep stages specifically alter dynamical integration of large-scale brain networks
title_full NREM sleep stages specifically alter dynamical integration of large-scale brain networks
title_fullStr NREM sleep stages specifically alter dynamical integration of large-scale brain networks
title_full_unstemmed NREM sleep stages specifically alter dynamical integration of large-scale brain networks
title_short NREM sleep stages specifically alter dynamical integration of large-scale brain networks
title_sort nrem sleep stages specifically alter dynamical integration of large scale brain networks
topic Medical Imaging
Systems Neuroscience
Cognitive Neuroscience
Techniques in Neuroscience
url http://www.sciencedirect.com/science/article/pii/S2589004220311202
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