Functional connectivity dynamics slow with descent from wakefulness to sleep

Autoři: Mazen El-Baba aff001;  Daniel J. Lewis aff002;  Zhuo Fang aff003;  Adrian M. Owen aff002;  Stuart M. Fogel aff002;  J. Bruce Morton aff002
Působiště autorů: Faculty of Medicine, University of Toronto, Toronto, Ontario aff001;  Department of Psychology, Western University, London, Ontario aff002;  Brain and Mind Institute, Western University, London, Ontario aff003;  School of Psychology, University of Ottawa, Ottawa, Ontario aff004;  The Royal’s Institute for Mental Health Research, University of Ottawa, Ottawa, Ontario aff005;  Brain & Mind Institute, University of Ottawa, Ottawa, Ontario aff006
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article


The transition from wakefulness to sleep is accompanied by widespread changes in brain functioning. Here we investigate the implications of this transition for interregional functional connectivity and their dynamic changes over time. Simultaneous EEG-fMRI was used to measure brain functional activity of 21 healthy participants as they transitioned from wakefulness into sleep. fMRI volumes were independent component analysis (ICA)-decomposed, yielding 42 neurophysiological sources. Static functional connectivity (FC) was estimated from independent component time courses. A sliding window method and k-means clustering (k = 7, L2-norm) were used to estimate dynamic FC. Static FC in Wake and Stage-2 Sleep (NREM2) were largely similar. By contrast, FC dynamics across wake and sleep differed, with transitions between FC states occurring more frequently during wakefulness than during NREM2. Evidence of slower FC dynamics during sleep is discussed in relation to sleep-related reductions in effective connectivity and synaptic strength.

Klíčová slova:

Anesthesia – Dwell time – Electroencephalography – Functional magnetic resonance imaging – k means clustering – Neurophysiology – Sleep – Vision


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2019 Číslo 12
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