Sleep data analysis: Score sleep stages and arousals (manual and automated approaches) and supervise quality control of scoring across the team; develop and apply quantitative EEG analyses relevant to CAAN's aims, including slow-wave activity, spindle detection, slow-oscillation–spindle coupling, and spectral measures across NREM and REM; analyze autonomic activity during sleep, including heart rate variability, breathing and sleep-stage–specific changes in sympathetic/ parasympathetic balance; link sleep metrics to CAAN's primary outcomes: LC structure and function (MRI), CSF and plasma biomarkers, proteomic markers of mitochondrial stress, daytime autonomic measures, and cognitive and affective outcomes; work with the CAAN statistician/ to incorporate sleep variables into reproducible, BIDS-compliant analysis pipelines and longitudinal models.
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