Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

A. B. A. Stevner; D. Vidaurre; J. Cabral; K. Rapuano; S. F. V. Nielsen; E. Tagliazucchi; H. Laufs; P. Vuust; G. Deco; M. W. Woolrich; E. Van Someren; M. L. Kringelbach

doi:10.1038/s41467-019-08934-3

Nature Communications (Mar 2019)

Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

A. B. A. Stevner,
D. Vidaurre,
J. Cabral,
K. Rapuano,
S. F. V. Nielsen,
E. Tagliazucchi,
H. Laufs,
P. Vuust,
G. Deco,
M. W. Woolrich,
E. Van Someren,
M. L. Kringelbach

Affiliations

A. B. A. Stevner: Department of Psychiatry, University of Oxford, Warneford Hospital
D. Vidaurre: Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity (OHBA), University of Oxford, Warneford Hospital
J. Cabral: Department of Psychiatry, University of Oxford, Warneford Hospital
K. Rapuano: Department of Psychological and Brain Sciences, Dartmouth College
S. F. V. Nielsen: Department of Applied Mathematics and Computer Science, Technical University of Denmark
E. Tagliazucchi: Netherlands Institute for Neuroscience
H. Laufs: Department of Neurology, University Hospital Schleswig Holstein, Christian-Alrbrechts-Universität
P. Vuust: Center for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus University
G. Deco: Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra
M. W. Woolrich: Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity (OHBA), University of Oxford, Warneford Hospital
E. Van Someren: Netherlands Institute for Neuroscience
M. L. Kringelbach: Department of Psychiatry, University of Oxford, Warneford Hospital

DOI: https://doi.org/10.1038/s41467-019-08934-3
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 14

Abstract

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Sleep is composed of a number of different stages, each associated with a different pattern of brain activity. Here, using a data-driven Hidden Markov Model (HMM) of fMRI data, the authors discover a more complex set of neural activity states underlying the conventional stages of non-REM sleep.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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