Sleep quality and Brain glucose uptake in Middle-aged Healthy subjects
Poster No:
168
Submission Type:
Abstract Submission
Authors:
Kyoungjune Pak1, Seunghyeon Shin2, Hyun Yeol Nam3
Institutions:
1179 Gudeok-ro, Seo-gu, Busan 49241, Republic of Korea, Busan, Busan, 2Samsung Changwon Hospital, Changwon, Changwon, 3Samsung Changwon Hospital, Changwon, 3Department of Nuclear Medicin
First Author:
Co-Author(s):
Introduction:
Short sleep duration and poor sleep quality is associated with greater amyloid beta burden and an increased risk of dementia. Also, even one night of sleep deprivation increases amyloid beta accumulation. In this study, we investigate the association of sleep quality with brain glucose uptake (BGU) measured by F18-Fluorodeoxyglucose positron emission tomography (PET) in middle-aged healthy subjects.
Methods:
We retrospectively analyzed data from 378 healthy males who underwent health check-up: 1) 18F-FDG PET, 2) Pittsburgh Sleep Quality Index Korean version (PSQI-K). PET scans were acquired 60 mins after injection of 18F-FDG (3.7 MBq/kg). PET scans were spatially normalized to MNI space using PET templates from SPM5. Automated Anatomical Label 2 atlas was used to define region-of-interests (ROIs). The mean uptake of each ROI was scaled to the mean of global cortical uptake of each individual, and defined as standardized uptake value ratio (SUVR). For a full-volume analysis, the statistical threshold was set at a cluster level and corrected with false discovery rate with p < 0.05 in a regression model (correction with age) after smoothing SUVR images with a Gaussian kernel of FWHM 8mm (SPM 12). All subjects completed PSQI-K to assess subjective quality and sleep pattern. Each of the questionnaire's 19 self-reported items belongs to one of seven subcategories: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. Scores for each question range from 0 to 3, with higher scores indicating more acute sleep disturbances, ranging from 0 to 21. The effects of sleep quality on regional SUVR were investigated using Bayesian hierarchical modelling that applies the Markov-Chain Monte Carlo sampling. We set up a model with regional SUVR as a dependent variable and PSQI-K as predictors. These fixed effects (PSQI-K and age) were calculated individually and subject and ROI were added as random intercepts to allow SUVR to vary between subjects and ROIs. Bayesian models were estimated using four Markov chains, each of which had 4,000 iterations including 1,000 warm-ups, thus totaling 12,000 post-warmup samples. The sampling parameters were slightly modified to facilitate convergence (max treedepth = 20).
Results:
378 subjects were included in this study (mean age 42.8, range 38-50 years). The average of total PSQI-K score was 4.0, ranging from 0 to 12. The average 9 sleep duration PSQI-K scores for each category were 1.0 (subjective sleep quality), 0.8 (sleep latency), 0.9 (sleep duration), 0.2 (habitual sleep efficiency), 0.6 (sleep disturbances), 0 (use of sleeping medication), 0.6 (daytime dysfunction). From a Bayesian regression model, BGU of posterior cingulate, precuneus, thalamus was negatively associated with total PSQI-K score (Figure 1). In a subgroup model with each category of PSQI-K, BGU of precuneus and posterior cingulate was negatively associated with all categories of PSQI-K except for sleep disturbances. Full-volume analysis revealed the consistent finding that shows negative association of BGU of posterior cingulate, precuneus, thalamus, postcentral gyrus in middle-aged healthy males (Figure 2).
·Figure 1
·Figure 2
Conclusions:
The poor sleep quality is associated with lower BGU of precuneus and posterior cingulate in middle-aged healthy males, which are main findings of dementia. Therefore, sleep might be one of the key components of pathophysiology of dementia. In addition, even in healthy subjects, the importance of sleep quality should not be ignored.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Novel Imaging Acquisition Methods:
PET
Perception, Attention and Motor Behavior:
Sleep and Wakefulness 2
Keywords:
ADULTS
NORMAL HUMAN
Positron Emission Tomography (PET)
Sleep
1|2Indicates the priority used for review
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