Circadian Rhythm and Brain Volume Variation in Older Adults with Cognitive Impairment
Poster No:
243
Submission Type:
Abstract Submission
Authors:
Seulgi Lee1,2, Bumhee Park2,3
Institutions:
1Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea, 2Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea, 3Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea
First Author:
Seulgi Lee
Department of Biomedical Sciences, Graduate School of Ajou University|Department of Biomedical Informatics, Ajou University School of Medicine
Suwon, Republic of Korea|Suwon, Republic of Korea
Department of Biomedical Sciences, Graduate School of Ajou University|Department of Biomedical Informatics, Ajou University School of Medicine
Suwon, Republic of Korea|Suwon, Republic of Korea
Co-Author:
Bumhee Park
Department of Biomedical Informatics, Ajou University School of Medicine|Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for innovative Medicine, Ajou University Medical Center
Suwon, Republic of Korea|Suwon, Republic of Korea
Department of Biomedical Informatics, Ajou University School of Medicine|Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for innovative Medicine, Ajou University Medical Center
Suwon, Republic of Korea|Suwon, Republic of Korea
Introduction:
Most people live regular lifestyles, such as waking up in the morning and going to sleep at night. This 24-hour activity pattern, circadian rhythm, helps to improve the physical health, affect sleep quality, and sustain the cognitive function (Posner et al., 2021). However, it is common for the circadian rhythm to deteriorate among older adults, since many older individuals do not have regular jobs or appointments. This disruption in circadian rhythm is not only associated with poorer sleep and cognitive decline but also linked to changes in brain structure and function. Previous studies have highlighted the importance of regular circadian rhythm in cognitive impairment (Smagula et al., 2022). In this study, we investigated that circadian rhythm affects individual variation in brain volumes.
Methods:
For this purpose, we associated brain volume variation with some circadian rhythm scores using the Biobank Innovation for chronic Cerebrovascular disease With ALZheimer's disease Study (BICWALZS) dataset (Roh et al., 2022). We used structural MRI data of 177 participants experiencing cognitive impairments (age: 71.81±7.60, male = 47). To measure the regional brain volumes, voxel-based morphometry analysis was performed with SPM12 VBM-DARTEL procedure. The preprocessing procedure included manual reorientation to the anterior commissure, gray matter segmentation, creation of study-specific template, spatial normalization with DARTEL template, modulation to adjust for volume signal change during spatial normalization, and spatial smoothing. After the preprocessing, we extracted regional gray matter volume by averaging the values of each brain region defined using the AAL3 atlas (Rolls et al., 2020). The circadian rhythm scores, including Interdaily Stability (IS), Intradaily Variability (IV), Least Active 5-hour Period (L5), Most Active 10-hour Period (M10), and Relative Amplitude (RA), were estimated based on data collected over 4 days while participants wore a wearable watch. To examine these circadian effects on variation in the brain volumes, we regressed brain volumetric variation on these, which is known as the multivariate distance matrix regression (MDMR) (McArtor et al., 2017; Shehzad et al., 2014). Additionally, other important predictors for cognitive impairment were included in the MDMR: sex, age, Mini-Mental State Examination (MMSE), Montgomery-Åsberg Depression Rating Scale (MADRS), amyloid PET, APOE genotype.
Results:
The multivariate regression is statistically significant, resulting in five significant predictors: sex, age, MMSE, IS, and RA. The finding indicates that the predictors are able to explain brain volume differences between subjects.
Conclusions:
The findings suggest that sex, age, MMSE, IS, and RA can explain individual variations in brain volume. Interestingly, circadian factors, a consistent activity-rest pattern across days or within a day, remained significant, while other factors considered important did not.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Lifespan Development:
Aging
Modeling and Analysis Methods:
Multivariate Approaches 2
Perception, Attention and Motor Behavior:
Sleep and Wakefulness
Keywords:
Aging
Degenerative Disease
MRI
Sleep
Statistical Methods
Other - Circandian rhythm
1|2Indicates the priority used for review
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Provide references using APA citation style.
Posner, A. B., Tranah, G. J., Blackwell, T., Yaffe, K., Ancoli-Israel, S., Redline, S., ... & Stone, K. L. (2021). Predicting incident dementia and mild cognitive impairment in older women with nonparametric analysis of circadian activity rhythms in the Study of Osteoporotic Fractures. Sleep, 44(10), zsab119.
Roh, H. W., Kim, N. R., Lee, D. G., Cheong, J. Y., Seo, S. W., Choi, S. H., ... & Hong, C. H. (2022). Baseline clinical and biomarker characteristics of biobank innovations for chronic cerebrovascular disease with Alzheimer’s disease study: BICWALZS. Psychiatry Investigation, 19(2), 100.
Rolls, E. T., Huang, C. C., Lin, C. P., Feng, J., & Joliot, M. (2020). Automated anatomical labelling atlas 3. Neuroimage, 206, 116189.
Shehzad, Z., Kelly, C., Reiss, P. T., Craddock, R. C., Emerson, J. W., McMahon, K., ... & Milham, M. P. (2014). A multivariate distance-based analytic framework for connectome-wide association studies. Neuroimage, 93, 74-94.
Smagula, S. F., Zhang, G., Gujral, S., Covassin, N., Li, J., Taylor, W. D., ... & Krafty, R. T. (2022). Association of 24-hour activity pattern phenotypes with depression symptoms and cognitive performance in aging. JAMA psychiatry, 79(10), 1023-1031.