[en] BACKGROUND. Tight relationships between sleep quality, cognition and amyloid-beta (Aβ) accumulation, a hallmark of Alzheimer’s disease (AD) neuropathology, emerge in the literature. Sleep arousals become more prevalent with ageing and are considered to reflect poorer sleep quality. Yet, heterogeneity in arousals has been suggested while their associations with Aβ and cognition are not established.
METHODS. We recorded undisturbed night-time sleep with EEG in 101 healthy individuals in late midlife (50-70y), devoid of cognitive and sleep disorders. We classified spontaneous arousals according to their association with muscular tone increase (M+/M-) and sleep stage transition (T+/T-). We assessed cortical Aβ burden over earliest affected regions via PET imaging, and cognition via extensive neuropsychological testing.
RESULTS. Arousal types differed in their oscillatory composition in theta and beta EEG bands. Furthermore, T+M- arousals, which interrupt sleep continuity, were positively linked to Aβ burden (p=.0053, R²β*=0.08). By contrast, more prevalent T-M+ arousals, upholding sleep continuity, were associated with lower Aβ burden (p=.0003, R²β*=0.13), and better cognition, particularly over the attentional domain (p<.05, R²β*≥0.04).
CONCLUSION. Contrasting with what is commonly accepted, we provide empirical evidence that arousals are diverse and differently associated with early AD-related neuropathology and cognition. This suggests that sleep arousals, and their coalescence with other brain oscillations during sleep, may actively contribute to the beneficial functions of sleep. This warrants re-evaluation of age-related sleep changes and suggests that spontaneous arousals could constitute a marker of favourable brain and cognitive health trajectories.
Disciplines :
Neurosciences & behavior
Author, co-author :
Chylinski, Daphné ✱; Université de Liège - ULiège > GIGA CRC In vivo Imaging - Sleep and chronobiology
Van Egroo, Maxime ✱
Narbutas, Justinas ✱; Université de Liège - ULiège > Département de Psychologie > Neuropsychologie
Grignard, Martin ; Université de Liège - ULiège > GIGA CRC In vivo Im. - Neuroimaging, data acquisi. & proces.
Koshmanova, Ekaterina ; Université de Liège - ULiège > GIGA CRC In vivo Imaging - Sleep and chronobiology
Berthomier, Christian
Berthomier, Pierre
Brandewinder, Marie
SALMON, Eric ; Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Centre de jour interdisciplinaire des troubles de la mémoire
Bahri, Mohamed Ali ; Université de Liège - ULiège > GIGA CRC In vivo Imaging - Aging & Memory
Bastin, Christine ; Université de Liège - ULiège > GIGA CRC In vivo Imaging - Aging & Memory
Collette, Fabienne ; Université de Liège - ULiège > Département de Psychologie > Neuropsychologie
Phillips, Christophe ; Université de Liège - ULiège > GIGA CRC In vivo Im. - Neuroimaging, data acquisi. & proces.
MAQUET, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de neurologie
Muto, Vincenzo ; Université de Liège - ULiège > GIGA CRC In vivo Imaging
Vandewalle, Gilles ; Université de Liège - ULiège > GIGA CRC In vivo Imaging - Sleep and chronobiology
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