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P 161 Coupling of brain arousal and autonomic regulation in the transition from wakefulness to sleep onset during an auditory oddball task in the resting state
Simultaneous downregulation of the autonomic and central nervous system activity enables the gradual physiological state change from wakefulness to sleep onset. Dysregulation of central or autonomic arousal has been found in neurological (Silvani et al., 2016) and psychiatric disorders (Hegerl and H...
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Published in: | Clinical neurophysiology 2017-10, Vol.128 (10), p.e406-e406 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Simultaneous downregulation of the autonomic and central nervous system activity enables the gradual physiological state change from wakefulness to sleep onset. Dysregulation of central or autonomic arousal has been found in neurological (Silvani et al., 2016) and psychiatric disorders (Hegerl and Hensch, 2014; Hegerl et al., 2012; Schulz et al., 2016; Schwabedal et al., 2016), often associated with dysregulated sleep-wake patterns.
We investigated the hypothesis that brain-autonomic co-regulation affects the attentive process in the transition from wakefulness to sleep onset. We propose that the degree to which autonomic and brain dynamics are correlated predicts the level of cortical excitability or inhibition and sleep onset behavior in this transition. To test our hypothesis, we explored electroencephalogram (EEG), electrocardiogram (ECG) and skin conductance data recorded during a 2-h resting state oddball experiment.
39 healthy study participants underwent a 2-h resting EEG with eyes closed including ECG-derived heart rate (HR) and measurement of skin conductance level (SCL). The Vigilance Algorithm Leipzig (VIGALL 2.1) was used to assess brain arousal regulation based on automatic EEG-vigilance stage classification of 1-s EEG segments. These vigilance stages (=vigilance; V) were scored and cross-correlated with HR and SCL over a range of ±100s, and a mean period of vigilance fluctuations was estimated from the frequency of maxima after low-pass filtering. Mean amplitudes of event-related potentials N100 and P200 to standard and deviant stimuli at Cz were calculated as indices of cortical excitability (N100) and cortical inhibition (P200) (Cortoos et al., 2014).
In all subjects, higher max cross-correlation coefficients (V-HR mean: r=0.362, range: −0.069 to 0.762; SD=0.192; V-SCL mean: r=0.277, range: −0.299 to 0.629; SD=0.211) were associated with longer mean periods of cortico-autonomic signals (V-HR: r=0.462, p=.003; V-SCL: r=0.516, p=.001). The cross-correlation of V with either HR and SCL partitioned the subjects into two groups (group no lag: n0=20, τ=0; group lag: n1=19, τ (range)=−98 to −87) dependent on the time lag of maximal correlation. Subjects in n0, who fell asleep more often (indexed by the frequency of falling asleep: t37=2.49, p=.018) during the 2-h EEG compared to subjects in n1, had higher max cross-correlation coefficients (V-HR: t37=4.24, p=1.43E−4; V-SCL: t37=5.02, p=1.35E−5) and displayed an increased standard (t30.235=3.19, p |
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ISSN: | 1388-2457 1872-8952 |
DOI: | 10.1016/j.clinph.2017.06.232 |