Insomnia disorder (ID) is the second most common neuropsychiatric disorder. Its socioeconomic burden is enormous while diagnosis and treatment are difficult. A novel approach that reveals associations between insomnia genetic propensity and sleep phenotypes in youth may help understand the core of the disease isolated from comorbidities and pave the way for new treatments. We obtained quantitative nocturnal sleep electroencephalogram (EEG) features in 456 participants (18-31y, 49 women). Sleep EEG was recorded during a baseline night following at least 7 days of regular sleep times. We then assessed daytime sleep onset latency in a subsample of N = 359 men exposed to manipulations affecting sleep pressure. We sampled saliva or blood for polygenic risk score (PRS) determination. The PRS for ID was computed based on genome-wide common single nucleotide polymorphism assessments. Participants also completed a battery of behavioral and cognitive tests. The analyses revealed that the PRS for ID was negatively associated with cumulated EEG power in the delta (0.5-4 Hz) and theta (4-8 Hz) bands across rapid eye movement (REM) and non-REM sleep (p ≤ .0026; β ≥ -0.13) controlling for age, sex and BMI. The PRS for ID was also negatively associated with daytime likelihood of falling asleep (β = -0.19, p = .0009). Other explorations for associations with non-baseline-nights, cognitive measures, and mood did not yield significant results. These results propose that the need or the ability to fall asleep and to generate slow brain activity during sleep may constitute the core sleep-related risk factors for developing ID.
Disciplines :
Sciences du vivant: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
Koshmanova, Ekaterina ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Sleep and chronobiology
Muto, Vincenzo ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging
Chylinski, Daphné ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Physiology of Cognition
MOURAUX, Charlotte ; Centre Hospitalier Universitaire de Liège - CHU > > Service de neurologie ; Sleep and Chronobiology Lab, GIGA-Cyclotron Research Centre-In Vivo Imaging,
Degueldre, Christian ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Aging & Memory
Luxen, André ; Université de Liège - ULiège > Département de chimie (sciences)
Salmon, Eric ; Université de Liège - ULiège > Département des sciences cliniques ; Centre Hospitalier Universitaire de Liège - CHU > > Service de neurologie
Georges, Michel ; Université de Liège - ULiège > GIGA > GIGA Innovation
Collette, Fabienne ; Université de Liège - ULiège > Département de Psychologie
Maquet, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > > Service de neurologie
Van Someren, Eus; Netherlands Institute for Neuroscience, Amsterdam, the Netherlands.
Vandewalle, Gilles ; Université de Liège - ULiège > Département des sciences biomédicales et précliniques ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Sleep and chronobiology
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