Unknown

Dataset Information

Classifying attentional vulnerability to total sleep deprivation using baseline features of Psychomotor Vigilance Test performance.


ABSTRACT: There are strong individual differences in performance during sleep deprivation. We assessed whether baseline features of Psychomotor Vigilance Test (PVT) performance can be used for classifying participants' relative attentional vulnerability to total sleep deprivation. In a laboratory, healthy adults (n = 160, aged 18-30 years) completed a 10-min PVT every 2 h while being kept awake for ≥24 hours. Participants were categorized as vulnerable (n = 40), intermediate (n = 80), or resilient (n = 40) based on their number of PVT lapses during one night of sleep deprivation. For each baseline PVT (taken 4-14 h after wake-up time), a linear discriminant model with wrapper-based feature selection was used to classify participants' vulnerability to subsequent sleep deprivation. Across models, clas

SUBMITTER: Chua EC 

PROVIDER: S-EPMC6702200 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature