Sleep Quality Modulates the Association between Dynamic Functional Network Connectivity and Cognitive Function in Healthy Older Adults. (1st January 2022)

• Record Type: Journal Article
• Authors: Xu, Hong-Zhou; Peng, Xue-Rui; Liu, Yun-Rui; Lei, Xu; Yu, Jing
• Is Part Of: Neuroscience. Volume 480(2022)
• Page Start: 131
• Page End: 142
• Publication Date: 2022-01-01
• Subjects: AUD auditory network -- BG basal ganglia network -- CB cerebellar network -- CEN cognitive executive network -- dFNC dynamic functional network connectivity -- dFNC-state dynamic functional network connectivity in each state -- dFNC-var variability of dynamic functional network connectivity -- DMN default mode network -- FNC functional network connectivity -- IC independent component -- ICA independent component analysis -- LOOCV leave-one-out cross-validation -- MoCA Montreal Cognitive Assessment -- MNI Montreal Neurological Institute -- MRI magnetic resonance image -- NRMSE normalized roor mean square error -- PCA principal component analysis -- PSQI Pittsburgh Sleep Quality Index -- RMSE root mean square error -- ROIs regions of interests -- sFNC static functional network connectivity -- SMN sensorimotor network -- SVR support vector regression -- VIS visual network; aging -- dynamic functional network connectivity -- sleep -- cognitive function -- machine learning; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2021.11.018
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Aging is associated with changes in sleep, cognitive function, and FNC. We studied how sleep affects the link between FNC and cognition in the elderly. sFNC and temporal variability of dFNC-var and dFNC-state were calculated. Sleep modulated the association between dFNC and cognitive function. Abstract: Aging is associated with changes in sleep, brain activity, and cognitive function, as well as the association among these factors; however, the precise nature of these changes has not been elucidated. This study systematically investigated the modulatory effect of sleep on the relationship between brain functional network connectivity (FNC) and cognitive function in older adults. In total, 107 community-dwelling healthy older adults were recruited and assigned into poor sleep and good sleep groups based on the Pittsburgh Sleep Quality Index. The static functional network connectivity (sFNC), the temporal variability of dynamic FNC (dFNC) from variance (dFNC-var), and the dFNC from clustering state (dFNC-state) were calculated. Corresponding cognition-predictive models were constructed for each sleep group. dFNC but not sFNC, was able to significantly predict the cognitive function in older adults. Specifically, sleep played a modulatory role in the association between dFNC and cognitive function, with sleep-specific variations at both microscopic (i.e., specific edges) and macroscopic levels (i.e., specific states) of dFNC.