Idiopathic hypersomnia (IH) is a rare and poorly studied disease characterized by excessive daytime sleepiness different from that of narcolepsy (sleep drunkness non-recuperative naps and nocturnal blackout). Local sleep is a recent concept, proposing a local regulation of the sleep-wake state, characterized by slow waves (SW) restricted to certain regions of a globally awake brain. The investigators are going to investigate whether local sleep could explain the sleepiness of these patients better than the global occurrence of sleep which are not very frequent during daytime tests in IH. The investigators propose to look for local sleep through the detection of local slow waves in the EEG of resting wakefulness and during an attentional task in people with IH compared to people with NT1 (sleepy, but with a different type of sleepiness from IH, more abrupt and including REM sleep) and non sleepy people.
Local sleep is a recent concept, suggesting a local regulation of the sleep-wake state, characterized for example in wakefulness by slow waves restricted to certain regions of a globally awake brain, correlating with modifications of mental experience and behavior. Although the phenomenon of local sleep has been demonstrated following acute sleep deprivation, its importance in explaining attentional fluctuations during a normal day is only beginning to be investigated. Moreover, inter-individual variations remain unexplored. The investigators propose to study in EEG (64 electrodes) the occurrence of local sleep in different states of sleepiness, in particular in idiopathic hypersomnia (IH) in comparison to that of narcolepsy type 1 (NT1) and to non-drowsy individuals, both in the resting state and during a sustained attention test (SART). This study will provide a better understanding of intra- (over the course of a day) and inter-individual fluctuations in the local sleep phenomenon potentially involved in this disease and its impact on cognition. Anticipated number of participants: 60 including: * 20 people with idiopathic hypersomnia * 20 people with type 1 narcolepsy * 20 people with no previous history Practical procedure: Single visit: presence from 9:30 am to 3:30 pm * General questionnaire on sleep habits and symptoms. * Equipment: EEG 32 electrodes, EOG, ECG, eye tracker and thoracoabdominal belts. * Morning and afternoon recording: 10 minutes in resting state, 60 minutes of digital SART (go-no-go test in front of a screen, with intermittent evaluation of mental state), then 10 minutes of rest.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Enrollment
60
EEG recording while awake, at rest then during an attentional cognitive test
Sustained attention go-no-go task (press a button each time a number is presented on a screen (1/second) except when the 3 appears) Assessment of mental status approximately every 45 seconds (task focus, mind wandering, mental blank, and sleepiness status)
Study of pupil size and gaze path during the cognitive test (correlated with alertness)
Abdominal and thoracic belts (used in all nocturnal polysomnographic recordings) for respiratory movement studies (correlated with sleepiness)
Pitié Salpêtrière
Paris, France
local sleep topography
Density and topography of local sleep through the detection of local slow waves (SW) during resting wakefulness and during a daytime attentional test in IH, narcolepsy and healthy subjects
Time frame: At enrollment visit
Daytime dynamics of local sleep
Density and topography of local sleep through the detection of local slow waves at two times of the day.
Time frame: At enrollment visit
behavioral implications of local sleep
Correlation of slow wave characteristics to mental experience and performance (reaction time, omission, impulsivity) during the sustained attention task.
Time frame: At enrollment visit
correlation between local sleep and behavioral marker of alertness
Correlation of pupillometric and eye tracking measurements, respiratory and heart rate parameters (assessments correlated to the state of alertness) to the different measured parameters
Time frame: At enrollment visit
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