4.6 Article

Frontal grey matter microstructure is associated with sleep slow waves characteristics in late midlife

Journal

SLEEP
Volume 45, Issue 11, Pages -

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/sleep/zsac178

Keywords

slow waves; fast switcher slow wave; diffusion-weighted imaging; brain microstructure; frontal cortex; NODDI; neurite density; neurite orientation dispersion; ageing

Funding

  1. Fonds National de la Recherche Scientifique (FRS-FNRS) [FRSM 3.4516.11]
  2. Actions de Recherche Concertees of the Federation Wallonie-Bruxelles, University of Liege (ULiege) [ARC SLEEPDEM 17/27-09]
  3. European Regional Development Fund (ERDF, Radiomed Project)
  4. Fondation Recherche Alzheimer - SAO-FRA Belgium
  5. Canadian Institutes of Health Research (CIHR) [190750]
  6. BrightFocus Foundation [A20211016F]
  7. F.R.S.-FNRS Belgium
  8. Wallonia-Brussel International (WBI)

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This study found that the complexity of neurite organization specifically influences the occurrence rate of fast switcher slow waves in healthy middle-aged individuals, and also found that the density of frontal neurites is closely related to neural synchronization during sleep.
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, R-beta*(2) = 0.06). In addition, overall SW frequency was positively associated with neurite density (p = 0.03, R-beta*(2) = 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.

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