Citation

Molina E, Sanabria D, Jung TP, Correa A. Accid. Anal. Prev. 2019; 126: 198-208.

Affiliation

Centro de Investigación Mente, Cerebro y Comportamiento, University of Granada, Campus de Cartuja, s/n, 18071, Granada, Spain. Electronic address: act@ugr.es.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.aap.2017.10.014

PMID

29061281

Abstract

Attention lapses and fatigue are a main source of impaired performance that can lead to accidents. This study analyzed electroencephalographic (EEG) dynamics and body skin temperature as markers of attentional fluctuations in non-sleep deprived subjects during a 45min Psychomotor Vigilance Task (PVT). Independent Component Analysis and time-frequency analysis were used to evaluate the EEG data.

RESULTS showed a positive association between distal and distal-to-proximal gradient (DPG) temperatures and reaction time (RT); increments in EEG power in alpha-, theta- and beta-band frequencies in parieto-occipital, central-medial and frontal components, were associated with poor performance (slower RT) in the task. This generalized power increment fits with an increased activity in the default mode network, associated with attention lapses. This study highlights the potential use of the PVT as a tool to obtain individual physiological indices of vigilance and fatigue that could be applied to other vigilance tasks typically performed in occupational settings.

Copyright © 2017 Elsevier Ltd. All rights reserved.

Language: en

Keywords

Attention fluctuations; Brain dynamics; Independent component analysis (ICA); Mental fatigue; Skin temperature; Sustained attention