Changes in physiological network connectivity of body system in narcolepsy during REM sleep

Narcolepsy is marked by pathologic symptoms including excessive daytime drowsiness and lethargy, even with sufficient nocturnal sleep. There are two types of narcolepsy: type 1 (with cataplexy) 2 (without cataplexy). Unlike 1, for which hypocretin a biomarker, narcolepsy has no adequate biomarker to identify the causality narcoleptic phenomenon. Therefore, we aimed establish new biomarkers using body's systemic networks. Thirty participants (15 narcolepsy, 15 healthy controls) were included. We used time delay stability (TDS) method examine temporal information determine relationships among multiple signals. quantified analyzed network connectivity nine biosignals (brainwaves, cardiac respiratory information, muscle eye movements) during In particular, focused on differences in between groups according sleep stages investigated whether could be potential classify both support vector machine. rapid movement sleep, group displayed more connections than control (narcolepsy connections: 24.47 ± 2.87, 21.34 3.49; p = 0.022). The observed activity. performance classifier based was 0.93 sensitivity, specificity accuracy, respectively. Network TDS may as networks patients controls.