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In this study the investigators plan to systematically characterise infra-slow EEG oscillations during sleep, explore their relationship to the microstructure of sleep, and investigate its role in the physiology and pathophysiology of sleep by co-registration of Full band EEG with polysomnography during wake and sleep in healthy subjects, after sleep deprivation, and in patients with restless legs syndrome/periodic leg movements during sleep (RLS/PLMS).
Full description
Sleep is a highly dynamic process and during large parts of sleep the level of arousal fluctuates on a multi-second time scale between the sleep stage specific background and transient, phasic events that clearly arise from this background and constitute the microstructure of sleep. This microstructure is part of the dynamic physiological sleep regulation and at the same time reflects the instability of sleep, is critically involved in the pathophysiology of sleep and a determinant of the recuperative value of sleep and daytime performance.
Intriguingly, these sleep microstructural fluctuations are in a multi-second range that corresponds closely to the so-called infra-slow oscillations that are ubiquitous in the central nervous system. Infra-slow oscillations (0.01 - 0.1 Hz) have been observed in both humans and animals across brain structures and spatial scales in the dynamics of single unit firing rates, direct electrical potential fluctuations and oscillation amplitude modulations. The possibility to record these infra-slow oscillations on the level of the surface EEG with direct current (DC) or Full band (Fb) EEG offers a new approach to study the microstructure of sleep and characterise the full range of sleep-related EEG oscillations.
The objectives of this study are:
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Inclusion Criteria for all participants:
Additional inclusion criteria for subjects with RLS/PLMS:
Exclusion criteria for all participants:
Additional exclusion criteria for participants with RLS/PLMS:
Additional exclusion criteria for healthy participants:
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18 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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