A large number of studies use polysomnography to continuously and non-invasively record electrophysiological signals during sleep with the goal of using these data to elucidate the biological pathways through which sleep affects health and functioning. Polysomnographic signals such as electroencenphograms and heart rate variability measure complex and dynamic processes whose frequency domain properties provided valuable and interpretable information. A dearth of tractable statistical models and methods for quantifying associations between frequency domain properties of collections of nonstationary time series with other study variables, such as clinical outcomes and experimental conditions, has limited the scope of questions that can be accurately addressed by analyzing polysomographic data. The goal of this research project is to develop a framework based on stochastic semiparametric evolutionary transfer functions for the spectral analysis of electrophysiological time series collected during sleep studies. Three specific aspects of this framework will be explored: (1) A time-varying spectral analogue of mixed effects models that will allow for the semiparametric analysis of the association between evolutionary power spectra and other variables while accounting for dependencies among correlated signals. (2) A procedure for discriminating between populations of nonstationary time series, such as between participants that respond positively to a treatment from those who do not. (3) A time-frequency canonical correlation analysis for obtaining low-dimensional measures of association between high-dimensional time series and processes measured by large collections of correlated variables. For each aspect of the framework, estimators will be developed, theoretical and empirical properties will be established, and efficient algorithms and computer programs will be created. These new methods will be used to analyze data from two existing studies: a clinical experimental study of sleep in older adults and a multi-cultural epidemiological study of sleep in women during the menopausal transition.
This project develops new statistical techniques to asses how physiological activity during sleep is connected to health and functioning and to better understand causes, effects, and treatments of poor sleep.
|Samuelsson, Laura B; Bovbjerg, Dana H; Roecklein, Kathryn A et al. (2018) Sleep and circadian disruption and incident breast cancer risk: An evidence-based and theoretical review. Neurosci Biobehav Rev 84:35-48|
|Brindle, Ryan C; Duggan, Katherine A; Cribbet, Matthew R et al. (2018) Cardiovascular Stress Reactivity and Carotid Intima-Media Thickness: The Buffering Role of Slow-Wave Sleep. Psychosom Med 80:301-306|
|Brindle, Ryan C; Cribbet, Matthew R; Samuelsson, Laura B et al. (2018) The Relationship Between Childhood Trauma and Poor Sleep Health in Adulthood. Psychosom Med 80:200-207|
|Bruce, Scott A; Hall, Martica H; Buysse, Daniel J et al. (2018) Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time series. Biometrics 74:260-269|
|Smagula, Stephen F; DuPont, Caitlin M; Miller, Megan A et al. (2018) Rest-activity rhythms characteristics and seasonal changes in seasonal affective disorder. Chronobiol Int 35:1553-1559|
|Smagula, Stephen F; Krafty, Robert T; Thayer, Julian F et al. (2018) Rest-activity rhythm profiles associated with manic-hypomanic and depressive symptoms. J Psychiatr Res 102:238-244|
|Hall, Martica H; Mulukutla, Suresh; Kline, Christopher E et al. (2017) Objective Sleep Duration Is Prospectively Associated With Endothelial Health. Sleep 40:|
|Kline, Christopher E; Krafty, Robert T; Mulukutla, Suresh et al. (2017) Associations of sedentary time and moderate-vigorous physical activity with sleep-disordered breathing and polysomnographic sleep in community-dwelling adults. Sleep Breath 21:427-434|
|Smagula, Stephen F; Krafty, Robert T; Taylor, Briana J et al. (2017) Rest-activity rhythm and sleep characteristics associated with depression symptom severity in strained dementia caregivers. J Sleep Res 26:718-725|
|He, Fanyin; Mazumdar, Sati; Tang, Gong et al. (2017) NONPARAMETRIC MANOVA APPROACHES FOR NON-NORMAL MULTIVARIATE OUTCOMES WITH MISSING VALUES. Commun Stat Theory Methods 46:7188-7200|
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