2013/06/07 by Roman Rosipal, Achim Lewandowski, Georg Dorffner
Neuroscience · Psychology · #EEG and Brain-Computer Interfaces #Sleep and Wakefulness Research #Sleep and related disorders
paper · doi:10.1016/j.biopsycho.2013.05.014
openalex publication_date 2013/06/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/27
The main goal of this study was to investigate to what extent polysomnographic (PSG) recordings of nocturnal human sleep can provide information about sleep quality in terms of correlation with a set of daytime measures. These measures were designed with the aim of comprising selected quality of night sleep and consist of subjective sleep quality ratings, neuropsychological tests and physiological parameters. First, a factor analysis model was applied to the large number of daytime measures of sleep quality in order to detect their latent structure. Secondly, in addition to the gold standard sleep staging method to arrive at variables about sleep architecture from PSG, we applied a recently developed continuous sleep representation by considering the probabilistic sleep model (PSM) describing the microstructure of sleep. Significant correlations between sleep architecture and daytime variables of sleep quality were found. Both the factor analysis and the PSM helped maximize the information about this relationship.