The Methods and Analysis Core will have five main functions and serve all five projects of the Program Project. A first function of the Core will be to implement standard operating procedures for the collection of PSG signals, cardiometabolic measures, and neurobehavioral tests. Particular attention will be paid to adequate time synchronization with the other biological and psychological measurements. Core B will also implement standard operating procedures to ensure data privacy, compatibility of format for data exchange, and optimal comparability between results of the different projects. A second function of Core B A will be to establish and manage a shared data repository to centralize digital records (PSG, cardiometabolic and neurobehavioral measures) obtained during the past project periods and current and future projects. The repository will be located on a server at the University of Chicago and all project investigators will have remote access using encrypted authentication. A third function of Core B will be to provide specific computerized tools (PRANA freeware, Chronobiological Series Analyzer (CSA), and Minimal Model (MiniMod)) for the scoring of human and animal sleep-wake stages, the edition of sleep transient events, and the analysis of hormonal and metabolic data. Fourth, the Core will develop new computerized tools for time domain quantification of sleep EEG slow waves and REM characteristics and develop an automatic system for artifact detection in the rodent EEG and the identification of active wake, quiet wake, REM sleep and NREM sleep. Lastly, Core B will provide expert statistical support to the different projects. The functions served by the Methods and Analysis Core will greatly enhance the overall quality, originality and quantity of the data collected in the individual projects.
The Methods and Analysis Core will play a crucial role in the improvement of recording, archival and analysis procedures, and will be a major source for cross-fertilization of concepts and methods.
|Shear, Talia C; Balachandran, Jay S; Mokhlesi, Babak et al. (2014) Risk of sleep apnea in hospitalized older patients. J Clin Sleep Med 10:1061-6|
|Guyon, A; Balbo, M; Morselli, L L et al. (2014) Adverse effects of two nights of sleep restriction on the hypothalamic-pituitary-adrenal axis in healthy men. J Clin Endocrinol Metab 99:2861-8|
|Copinschi, Georges; Leproult, Rachel; Spiegel, Karine (2014) The important role of sleep in metabolism. Front Horm Res 42:59-72|
|Grimaldi, Daniela; Beccuti, Guglielmo; Touma, Carol et al. (2014) Association of obstructive sleep apnea in rapid eye movement sleep with reduced glycemic control in type 2 diabetes: therapeutic implications. Diabetes Care 37:355-63|
|Reid, Kathryn J; Santostasi, Giovanni; Baron, Kelly G et al. (2014) Timing and intensity of light correlate with body weight in adults. PLoS One 9:e92251|
|Boubekri, Mohamed; Cheung, Ivy N; Reid, Kathryn J et al. (2014) Impact of windows and daylight exposure on overall health and sleep quality of office workers: a case-control pilot study. J Clin Sleep Med 10:603-11|
|Leproult, Rachel; Holmbäck, Ulf; Van Cauter, Eve (2014) Circadian misalignment augments markers of insulin resistance and inflammation, independently of sleep loss. Diabetes 63:1860-9|
|Knutson, Kristen L (2014) Sleep duration, quality, and timing and their associations with age in a community without electricity in Haiti. Am J Hum Biol 26:80-6|
|Kim, Seong Jae; Benloucif, Susan; Reid, Kathryn Jean et al. (2014) Phase-shifting response to light in older adults. J Physiol 592:189-202|
|Summa, Keith C; Turek, Fred W (2014) Chronobiology and obesity: Interactions between circadian rhythms and energy regulation. Adv Nutr 5:312S-9S|
Showing the most recent 10 out of 164 publications