Functional connectivity dynamics slow with descent from wakefulness to sleep
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 activi...
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| Veröffentlicht in: | PloS one 2019-12, Vol.14 (12), p.e0224669 |
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| creator | El-Baba, Mazen Lewis, Daniel J Fang, Zhuo Owen, Adrian M Fogel, Stuart M Morton, J Bruce |
| description | 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. |
| doi_str_mv | 10.1371/journal.pone.0224669 |
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Evidence of slower FC dynamics during sleep is discussed in relation to sleep-related reductions in effective connectivity and synaptic strength.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0224669</identifier><identifier>PMID: 31790422</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Biology and Life Sciences ; Brain ; Brain Mapping ; Brain research ; Caffeine ; Cluster analysis ; Clustering ; Computer and Information Sciences ; EEG ; Electroencephalography ; Female ; Functional magnetic resonance imaging ; Humans ; Independent component analysis ; Magnetic Resonance Imaging ; Male ; Medicine and Health Sciences ; Methods ; Nerve Net - diagnostic imaging ; Nerve Net - physiology ; Neural networks ; Neurophysiology ; Physical Sciences ; Research and Analysis Methods ; Sleep ; Sleep - physiology ; Sleep and wakefulness ; Social Sciences ; Synaptic strength ; Vector quantization ; Wakefulness ; Wakefulness - physiology ; Young Adult</subject><ispartof>PloS one, 2019-12, Vol.14 (12), p.e0224669</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 El-Baba et al. 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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. 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| subjects | Adult Biology and Life Sciences Brain Brain Mapping Brain research Caffeine Cluster analysis Clustering Computer and Information Sciences EEG Electroencephalography Female Functional magnetic resonance imaging Humans Independent component analysis Magnetic Resonance Imaging Male Medicine and Health Sciences Methods Nerve Net - diagnostic imaging Nerve Net - physiology Neural networks Neurophysiology Physical Sciences Research and Analysis Methods Sleep Sleep - physiology Sleep and wakefulness Social Sciences Synaptic strength Vector quantization Wakefulness Wakefulness - physiology Young Adult |
| title | Functional connectivity dynamics slow with descent from wakefulness to sleep |
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