Timely sleep coupling: spindle-slow wave synchrony is linked to early amyloid-β burden and predicts memory decline

Chylinski, D.; Van Egroo, M.; Narbutas, J.; Muto, V.; Bahri, M. A.; Berthomier, C.; Salmon, E.; Bastin, C.; Phillips, C.; Collette, F.; Maquet, P.; Carrier, J.; Lina, J.-M.; Vandewalle, G.

doi:10.1101/2022.03.15.484463

bioRxiv · 10.1101/2022.03.15.484463

Timely sleep coupling: spindle-slow wave synchrony is linked to early amyloid-β burden and predicts memory decline

Chylinski, D.·Van Egroo, M.·Narbutas, J.·Muto, V.·Bahri, M. A.·Berthomier, C.·Salmon, E.·Bastin, C.·Phillips, C.·Collette, F.·Maquet, P.·Carrier, J.·Lina, J.-M.·Vandewalle, G.

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Abstract

Sleep alteration is a hallmark of ageing and emerges as a risk factor for Alzheimers disease (AD). While the fine-tuned coalescence of sleep microstructure elements may influence age-related cognitive trajectories, its association with AD processes is not fully established. Here, we investigated whether the coupling of spindles and slow waves is associated with early amyloid-beta (A{beta}) brain burden, a hallmark of AD neuropathology, and cognitive change over 2 years in 100 healthy individuals in late-midlife (50-70y; 68 women). We found that, in contrast to other sleep metrics, earlier occurrence of spindles on slow-depolarisation slow waves is associated with higher medial prefrontal cortex A{beta} burden (p=0.014, r2{beta}*=0.06), and is predictive of greater longitudinal memory decline (p=0.032, r2{beta}*=0.07). These findings unravel early links between sleep, AD-related processes and cognition and suggest that altered coupling of sleep microstructure elements, key to its mnesic function, contributes to poorer brain and cognitive trajectories in ageing.

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Chylinski, D., Van Egroo, M., Narbutas, J., Muto, V., Bahri, M. A., Berthomier, C., Salmon, E., Bastin, C., Phillips, C., Collette, F., Maquet, P., Carrier, J., Lina, J.-M., Vandewalle, G.. 2022-03-19. Timely sleep coupling: spindle-slow wave synchrony is linked to early amyloid-β burden and predicts memory decline. https://doi.org/10.1101/2022.03.15.484463

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