scholarly journals Objective Sleep Quality and the Underlying Functional Neural Correlates Among Older Adults With Probable MCI

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 379-379
Author(s):  
Chun Liang Hsu ◽  
Ryan Falck ◽  
Daniel Backhouse ◽  
Patrick Chan ◽  
Elizabeth Dao ◽  
...  

Abstract Poor sleep is a strong risk factor for dementia and is commonly reported among older adults with mild cognitive impairment (MCI). However, the neural underpinnings of poor sleep among older adults with MCI remains equivocal. The goal of this cross-sectional analysis was to explore the relationship between resting-state functional connectivity in the brain and sleep quality as measured by actigraphy. We hypothesize lower sleep efficiency and higher sleep fragmentation may be associated with aberrant functional connectivity of brain regions involved in somatosensory, somatomotor, and attentional processing. Thirty-six community-dwelling older adults with probable MCI between 65-85 years (mean=71.8 years) were assessed for sleep quality using a motion watch to quantify sleep efficiency and fragmentation over 14 days. All participants completed resting-state functional magnetic resonance imaging (fMRI) within 14 days of sleep monitoring. Independent associations between network connectivity and sleep quality were determined using general linear models. Examined networks included the somatosensory network (SMN), dorsal attention network (DAN), ventral attention network (VAN), frontoparietal network (FPN), and default mode network (DMN). Mean Montreal Cognitive Assessment score was 22.5 (SD=2.7) and Mini-Mental State Examination score was 28.3 (SD=1.5). Mean sleep efficiency and fragmentation index was 80.1% and 31.8 respectively. Higher sleep fragmentation correlated with increased connectivity between the SMN and insula, the SMN and posterior cingulate, as well as FPN and primary motor area (Z=3.1; p<0.05). These results suggest aberrant functional connectivity between brain regions involved in attentional and somatosensory processes may be associated with disrupted sleep mechanisms in older adults with MCI.

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii17-iii65
Author(s):  
Louise Marron ◽  
Ricardo Segurado ◽  
Paul Claffey ◽  
Rose Anne Kenny ◽  
Triona McNicholas

Abstract Background Benzodiazepines (BZD) are associated with adverse effects, particularly in older adults. Previous research has shown an association between BZDs and falls and BZDs have been shown to impact sleep quality. The aim of this study is to assess the association between BZD use and falls, and the impact of sleep quality on this association, in community dwelling adults aged over 50. Methods Data from the first wave of The Irish Longitudinal Study on Ageing were used. Participants were classed as BZD users or non-users and asked if they had fallen in the last year, and whether any of these falls were unexplained. Sleep quality was assessed via self-reported trouble falling asleep, daytime somnolence, and early-rising. Logistic regression assessed for an association between BZD use and falls, and the impact of sleep quality on this association was assessed by categorising based on BZD use and each sleep quality variable. Results Of 8,175 individuals, 302 (3.69%) reported taking BZDs. BZD use was associated with falls, controlling for con-founders (OR 1.40; 1.08, 1.82; p-value 0.012). There was no significant association between BZDs and unexplained falls, controlling for con-founders (OR 1.41; 95% CI 0.95, 2.10; p-value 0.09), however a similar effect size to all falls was evident. Participants who take BZDs and report daytime somnolence (OR 1.93; 95% CI 1.12, 3.31; p-value 0.017), early-rising (OR 1.93; 95% CI 1.20, 3.11; p-value 0.007) or trouble falling asleep (OR 1.83; 95% CI 1.12, 2.97; p-value 0.015), have an increased odds of unexplained falls. Conclusion BZD use is associated with falls, with larger effect size in BZD users reporting poor sleep quality in community dwelling older adults. Appropriate prescription of and regular review of medications such as BZDs is an important public health issue.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S367-S368
Author(s):  
Anna R Egbert ◽  
Ryan S Falck ◽  
John R Best ◽  
Linda Li ◽  
Lynne Feehan ◽  
...  

Abstract Poor sleep quality, decreased physical activity (PA) and increased sedentary behavior (SB) are common characteristics of older adults. Notably, these factors play an important role in brain health. We examined the relationship between sleep quality, PA, SB and brain white matter integrity (WM) in older adults with osteoarthritis (OA). We retained data on 16 participants (mean age 60, SD=7.7) from a larger Monitor-OA cohort recruited from Metro Vancouver, BC, Canada. Sleep efficiency and duration, amount of time spent on PA and SB daily over a period of one week was acquired with an objective measure – the multi-sensor monitor SenseWear Mini which integrates tri-axial accelerometer data, physiological sensor data and personal demographic information. Brain WM tractography was calculated from fractional anisotropy data obtained with diffusion weighted magnetic resonance imaging. Voxelwise group-level statistics examined the effects of our variables of interest on the integrity of brain WM tracts while controlling for participants age. We found that lower sleep efficiency was related to decreased integrity in WM tracts of frontal, temporal lobes, precuneus and thalamus (Bonferroni corrected p<0.05). Shorter sleep was related to lower WM integrity in frontal regions, posterior cingulate and insula radiations (Bonferroni corrected p<0.05). No significant effects were noted for PA or SB. The identified brain regions are involved in sleep processes but further overlap with the nociceptive brain network. Our findings suggest that neural mechanisms related to sleep disturbance may also involve pain-related processing in older adults.


2017 ◽  
Vol 48 (3-4) ◽  
pp. 147-154 ◽  
Author(s):  
V. Eloesa McSorley ◽  
Jayant Pinto ◽  
L. Philip Schumm ◽  
Kristen Wroblewski ◽  
David Kern ◽  
...  

Background: Sleep and olfaction are both critical physiological processes that tend to worsen with age. Decline in olfaction can be an early indicator of neurodegenerative diseases, whereas poor sleep quality is associated with reduced physical and mental health. Given associations with aging-related health declines, we explored whether variations in sleep were associated with olfactory function among older adults. Methods: We assessed the relationship between sleep characteristics and olfaction among 354 community-dwelling older adults. Olfaction was measured using a validated field and survey research tool. Sleep characteristics were measured using wrist actigraphy and with self-report of sleep problems. We fit structural equation models of latent constructs of olfaction based on olfactory task items and let this be a function of each sleep characteristic. Results: Actigraph sleep quality measures were associated with odor identification, but not with odor sensitivity. Longer duration sleepers had worse odor sensitivity compared to medium (58 h) sleepers, but sleep duration was not associated with odor identification. Reported sleep problems and reported usual duration were not associated with olfaction. Conclusions: Diminished sleep quality was associated with reduced capacity to identify odors. Determining whether this is a causal association will require further study and longitudinal data.


2021 ◽  
Author(s):  
Jivesh Ramduny ◽  
Matteo Bastiani ◽  
Robin Huedepohl ◽  
Stamatios Sotiropoulos N Sotiropoulos ◽  
Magdalena Chechlacz

The ageing brain undergoes widespread gray (GM) and white matter (WM) degeneration. But numerous studies indicate large heterogeneity in the age-related brain changes, which can be attributed to modifiable lifestyle factors, including sleep. Inadequate sleep has been previously linked to GM atrophy and WM changes. However, the reported findings are highly inconsistent. By contrast to previous research independently characterizing patterns of either the GM or the WM changes, we used here linked independent component analysis (FLICA) to examine covariation in GM and WM in a group of older adults. Next, we employed a novel technique to estimate the brain age delta (i.e. difference between chronological and apparent brain age assessed using neuroimaging data) and study its associations with sleep quality and sleep fragmentation, hypothesizing that poor sleep accelerates brain ageing. FLICA revealed a number of multimodal (including both GM and WM) neuroimaging components, associated with age, but also with sleep quality and sleep fragmentation. Brain age delta estimates were highly sensitive in detecting the effects of sleep problems on the ageing brain. Specifically, we show significant associations between brain age delta and poor sleep quality, suggesting two years deviation above the chronological age. Our findings indicate that sleep problems in healthy older adults should be considered a risk factor for accelerated brain ageing.


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