Profiling the sleep architecture of ageing adults using a seven-state continuous-time Markov model.

ABSTRACT: Sleep is a complex biological process regulated by networks of neurons and environmental factors. As one falls asleep, neurotransmitters from sleep-wake regulating neurones work in synergy to control the switching of different sleep states throughout the night. As sleep disorders or underlying neuropathology can manifest as irregular switching, analysing these patterns is crucial in sleep medicine and neuroscience. While hypnograms represent the switching of sleep states well, current analyses of hypnograms often rely on oversimplified temporal descriptive statistics (TDS, e.g., total time spent in a sleep state), which miss the opportunity to study the sleep state switching by overlooking the complex structures of hypnograms. In this paper, we propose analysing sleep hypnograms using a se

SUBMITTER: Jacobs J 

PROVIDER: S-EPMC11911054 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature