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On wakefulness fluctuations as a source of BOLD functional connectivity dynamics
- Human brain dynamics and functional connectivity fluctuate over a range of temporal scales in coordination with internal states and environmental demands. However, the neurobiological significance and consequences of functional connectivity dynamics during rest have not yet been established. We show that the coarse-grained clustering of whole-brain dynamic connectivity measured with magnetic resonance imaging reveals discrete patterns (dynamic connectivity states) associated with wakefulness and sleep. We validate this using EEG in healthy subjects and patients with narcolepsy and by matching our results with previous findings in a large collaborative database. We also show that drowsiness may account for previous reports of metastable connectivity states associated with different levels of functional integration. This implies that future studies of transient functional connectivity must independently monitor wakefulness. We conclude that a possible neurobiological significance of dynamic connectivity states, computed at a sufficiently coarse temporal scale, is that of fluctuations in wakefulness.
Author: | Ariel Haimovici, Enzo TagliazucchiORCiDGND, Pablo Balenzuela, Helmut LaufsORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-456673 |
DOI: | https://doi.org/10.1038/s41598-017-06389-4 |
ISSN: | 2045-2322 |
Pubmed Id: | https://pubmed.ncbi.nlm.nih.gov/28724928 |
Parent Title (English): | Scientific reports |
Publisher: | Macmillan Publishers Limited, part of Springer Nature |
Place of publication: | [London] |
Document Type: | Article |
Language: | English |
Year of Completion: | 2017 |
Date of first Publication: | 2017/07/19 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2018/02/13 |
Tag: | Consciousness; Learning algorithms; Non-REM sleep; REM sleep; Wakefulness |
Volume: | 7 |
Issue: | 1, Art. 5908 |
Page Number: | 13 |
First Page: | 1 |
Last Page: | 13 |
Note: | Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2017 |
HeBIS-PPN: | 426620135 |
Institutes: | Medizin / Medizin |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - Namensnennung 4.0 |