[en] STUDY OBJECTIVES: The ability to generate slow waves (SW) during non-rapid eye movement (NREM) sleep decreases as early as the 5th decade of life, predominantly over frontal regions. This decrease may concern prominently SW characterized by a fast switch from hyperpolarized to depolarized, or down-to-up, state. Yet, the relationship between these fast and slow switcher SW and cerebral microstructure in ageing is not established. METHODS: We recorded habitual sleep under EEG in 99 healthy late midlife individuals (mean age = 59.3 ± 5.3 years; 68 women) and extracted SW parameters (density, amplitude, frequency) for all SW as well as according to their switcher type (slow vs. fast). We further used neurite orientation dispersion and density imaging (NODDI) to assess microstructural integrity over a frontal grey matter region of interest (ROI). RESULTS: In statistical models adjusted for age, sex, and sleep duration, we found that a lower SW density, particularly for fast switcher SW, was associated with a reduced orientation dispersion of neurites in the frontal ROI (p = 0.018, R2β* = 0.06). In addition, overall SW frequency was positively associated with neurite density (p = 0.03, R2β* = 0.05). By contrast, we found no significant relationships between SW amplitude and NODDI metrics. CONCLUSIONS: Our findings suggest that the complexity of neurite organization contributes specifically to the rate of fast switcher SW occurrence in healthy middle-aged individuals, corroborating slow and fast switcher SW as distinct types of SW. They further suggest that the density of frontal neurites plays a key role for neural synchronization during sleep. TRIAL REGISTRATION NUMBER: EudraCT 2016-001436-35.
Research Center/Unit :
GIGA-SLEEP - GIGA CRC In vivo Imaging-Sleep and chronobiology - ULiège
Disciplines :
Neurosciences & behavior
Author, co-author :
Chylinski, Daphné ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Sleep and chronobiology
Narbutas, Justinas ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Aging & Memory
Balteau, Evelyne ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Neuroimaging, data acquisition and processing
Collette, Fabienne ; Université de Liège - ULiège > Département de Psychologie ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Aging & Memory
Bastin, Christine ; Université de Liège - ULiège > Département des sciences cliniques ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Aging & Memory
Berthomier, Christian; Physip SA, Paris, France.
Salmon, Eric ; Centre Hospitalier Universitaire de Liège - CHU > > Service de neurologie ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging
Maquet, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > > Service de neurologie ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Sleep and chronobiology
Carrier, Julie; CARSM, CIUSSS of Nord-de l'Île-de-Montréal, Montreal, Canada. ; Department of Psychology, University of Montreal, Canada.
Phillips, Christophe ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Neuroimaging, data acquisition and processing
Lina, Jean-Marc; CARSM, CIUSSS of Nord-de l'Île-de-Montréal, Montreal, Canada. ; Department of Psychology, University of Montreal, Canada.
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
Van Egroo, Maxime; GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège,
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