Aug 2026· Sleep Medicine· Vol 148, pp.
109211
· 0 citations· 49 references
Medicine
TL;DR
Baseline sleep microstructure, including spindle, slow-wave dynamics and EEG coherence, was associated with cognitive aging and may provide candidate markers of cognitive resilience or decline, and support further longitudinal studies to determine their predictive value for neurodegenerative disease.
Abstract
Background
Age-related changes in sleep microstructure may contribute to cognitive decline, but their value as markers of cognitive trajectories in healthy aging is unclear. We examined associations between baseline sleep microstructure and both concurrent cognition and ten-year cognitive change in older men.
Methods
Men from the Metropolit 1953 Danish Male Birth Cohort completed cognitive assessment at two time points a decade apart (2010-2013 and 2020-2022; n = 206 at baseline, n = 106 at follow-up). Polysomnography was performed at baseline only (n = 176); microstructure analyses (spindles, slow waves, EEG coherence) were restricted to participants with adequate NREM sleep (n = 82). Cross-sectional and longitudinal associations were assessed using Spearman and partial Spearman correlations with Benjamini-Hochberg correction.
Results
Over ten years, processing speed (TMT-B: +6.1 s) and symbol conversion (SDMT: -2.3) declined significantly. Higher sleep efficiency was associated with better cognitive maintenance, whereas increased wake after sleep onset and an increased arousal index correlated with poorer memory and learning. A higher proportion of N1 sleep was linked to poorer executive function, whereas N2 and N3 were positively associated with cognitive outcomes. Fast spindle amplitude and frequency, slow-wave characteristics, and N2 and REM coherence correlated with processing speed, attention, and global cognition.
Conclusions
Baseline sleep microstructure, including spindle, slow-wave dynamics and EEG coherence, was associated with cognitive aging and may provide candidate markers of cognitive resilience or decline. These exploratory findings support further longitudinal studies to determine their predictive value for neurodegenerative disease.
Overall, white matter connectivity of the anterior thalamic radiation and superior longitudinal fasciculus was not robustly associated with sleep spindle density or slow oscillatory power in this at-risk cohort, but superior longitudinal fasciculus II connectivity may differentially relate to spindle amplitude in mild cognitive impairment, potentially reflecting altered thalamocortical network engagement in early neurodegeneration.
A. Lam, S. Kong, J. Palmer et al.· Brain Communications· 0 citations
BACKGROUND
Few studies have investigated how the joint dynamic evolution of sleep disorders and frailty affects cognitive functions.
METHODS
This prospective cohort study used data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, ultimately including 7,749 participants. Sleep duration outside the 6-8 h reference range was used to quantify abnormal sleep duration, with greater departures from this range indicating higher sleep-duration deviation. A group-based trajectory model (GBTM) was used to identify joint longitudinal patterns of sleep deviation risk and frailty, resulting in four distinct joint trajectory groups. Subsequently, Multivariate linear mixed-effects models were then used to evaluate longitudinal changes in continuous cognitive function scores across trajectory groups, while Cox proportional hazards regression models were used to estimate the risk of incident mild cognitive impairment (MCI).
RESULTS
Compared with Group 1 (stable sleep and non-frail), Groups 2 (persistently worsening sleep with pre-frailty), 3 (worsening sleep with progressive pre-frailty), and 4 (persistently worsening sleep with worsening frailty) showed faster cognitive decline (β = -0.017, - 0.022, and - 0.044 SD/year, respectively). Compared with Group 1, Group 4 had the highest risk of incident MCI (HR = 1.48, 95% CI: 1.20-1.82). Elevated risks were also observed in Group 2 (HR = 1.20, 95% CI: 1.04-1.39) and Group 3 (HR = 1.18, 95% CI: 1.02-1.36). Compared with models based on sleep trajectories or frailty trajectories alone, the joint trajectory model yielded a lower AIC and a higher C-index, indicating superior model fit and discriminatory ability for incident MCI.
CONCLUSIONS
Worsening joint trajectories of sleep deviation risk and frailty were associated with progressively faster cognitive decline and a higher risk of incident MCI. These joint patterns may provide a useful approach for identifying older adults at elevated cognitive risk.
Linfeng Chen, Chuncao Ao, Su Zhang et al.· BMC Public Health· 0 citations
Background/Objectives: Sleep disturbances are increasingly implicated in age-related cognitive decline and may contribute to heterogeneity in cognitive and social–cognitive functioning in Mild Cognitive Impairment (MCI). Nevertheless, it remains unclear whether longitudinal actigraphy-derived sleep parameters predict social cognition, including theory of mind (ToM), across amnestic (aMCI) and non-amnestic (naMCI) MCI subtypes. This study examined longitudinal trajectories of cognitive control and ToM in individuals with aMCI and naMCI and healthy older adults, and investigated whether actigraphy-derived sleep indices prospectively predict subsequent cognitive control and higher-order social cognition across these groups. Methods: A total of 179 participants (46 healthy controls, 75 aMCI, 58 naMCI) were assessed across three waves over approximately 16–20 months. Actigraphy-derived sleep indices were obtained using wrist actigraphy. Cognitive control was assessed with Delis–Kaplan Executive Function System subtests, whereas ToM was evaluated through tasks involving non-literal language comprehension, metaphor and proverb interpretation, higher-order mentalizing, and emotion recognition. Longitudinal trajectories were examined using mixed-design ANOVAs, and prospective sleep effects were tested using longitudinal path models. Results: Both cognitive control and ToM declined over time in the MCI groups, whereas healthy controls showed relative stability. Subtype differences in cognitive control emerged primarily in higher-order planning and rule-monitoring processes, with naMCI showing greater impairment. ToM revealed a clearer and more consistent gradient (healthy controls > aMCI > naMCI), particularly in higher-order inferential tasks. Among the actigraphy-derived sleep indices, only TST prospectively predicted later ToM performance, whereas prospective associations with cognitive control were limited and inconsistent. Conclusions: Reduced sleep duration was prospectively associated with poorer subsequent performance in higher-order social cognition, independently of the executive-control measures examined. These findings highlight phenotypic heterogeneity across MCI subtypes and suggest that objectively measured sleep duration may serve as a clinically relevant longitudinal marker of social–cognitive vulnerability. Future studies are needed to determine whether interventions targeting sleep duration are associated with improved social–cognitive outcomes.
A. Batzikosta, Magdalini Tsolaki, P. Steiropoulos et al.· Journal of Clinical Medicine· 0 citations
CircS is associated with SCD severity, while exploratory analyses suggest possible nonlinear associations between CircS score and selected plasma biomarkers and male participants showed a stronger association with SCD-domain scores.
Dan Liu, C. Cai, Jingjing Zhang et al.· Journal of Affective Disorde...· 0 citations
BACKGROUND
Physical activity (PA) may help to delay or possibly prevent cognitive decline and dementia. However, few studies have adopted a life-course approach to prospectively examine repeated measures of PA in relation to cognitive decline.
METHODS
Framingham Heart Study Offspring and Omni 1 participants without prevalent dementia who had ≥3 self-reported PA measures and ≥2 cognitive domain factor score measures were included (n = 2229). Memory, executive function, and language factor scores were previously derived using bifactor confirmatory factor analysis models. Group-based multitrajectory models characterized PA patterns over the adult life-course (ages 17-96 y). Linear mixed-effects models estimated annual changes in cognitive domain factor scores across PA trajectory groups over the same time period.
RESULTS
We identified 4 PA trajectories: (1) stabilizers: decline from early adulthood through midlife and then stable after age 50 (n = 176), (2) decliners: constant decline over adulthood (n = 526), (3) reversers: increase from early adulthood through midlife and then decline after age 70 (n = 1145), and (4) plummeters: slow decline from early adulthood through midlife and then sharp decline after age 75 (n = 382; reference). Compared with the reference group, stabilizers had 0.012 SD/year (95% CI, 0.004-0.02) slower memory decline, 0.012 SD/year (95% CI, 0.005-0.02) slower executive function decline, and 0.015 SD/year (95% CI, 0.007-0.02) slower language decline. Decliners had slower cognitive decline across all domains, and reversers had slower language decline.
CONCLUSIONS
Our findings suggest that sustaining PA in mid-to-late life and preventing later life declines may help mitigate cognitive decline with aging.
Francesca R Marino, Huitong Ding, Honghuang Lin et al.· Journal of Physical Activity...· 0 citations
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