Objective markers for sleep propensity: comparison between the Multiple Sleep Latency Test and the Vigilance Algorithm Leipzig
Summary The regulation of wakefulness is important for high‐order organisms. Its dysregulation is involved in the pathomechanism of several psychiatric disorders. Thus, a tool for its objective but little time‐consuming assessment would be of importance. The Vigilance Algorithm Leipzig allows the ob...
Gespeichert in:
Veröffentlicht in: | Journal of sleep research 2015-08, Vol.24 (4), p.450-457 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Summary
The regulation of wakefulness is important for high‐order organisms. Its dysregulation is involved in the pathomechanism of several psychiatric disorders. Thus, a tool for its objective but little time‐consuming assessment would be of importance. The Vigilance Algorithm Leipzig allows the objective measurement of sleep propensity, based on a single resting state electroencephalogram. To compare the Vigilance Algorithm Leipzig with the standard for objective assessment of excessive daytime sleepiness, a four‐trial Multiple Sleep Latency Test in 25 healthy subjects was conducted. Between the first two trials, a 15‐min, 25‐channel resting electroencephalogram was recorded, and Vigilance Algorithm Leipzig was used to classify the sleep propensity (i.e. type of vigilance regulation) of each subject. The results of both methods showed significant correlations with the Epworth Sleepiness Scale (ρ = −0.70; ρ = 0.45, respectively) and correlated with each other (ρ = −0.54). Subjects with a stable electroencephalogram‐vigilance regulation yielded significant increased sleep latencies compared with an unstable regulation (multiple sleep latency 898.5 s versus 549.9 s; P = 0.03). Further, Vigilance Algorithm Leipzig classifications allowed the identification of subjects with average sleep latencies |
---|---|
ISSN: | 0962-1105 1365-2869 |
DOI: | 10.1111/jsr.12290 |