| Literature DB >> 29061281 |
Enrique Molina1, Daniel Sanabria2, Tzyy-Ping Jung3, Ángel Correa4.
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.Entities:
Keywords: Attention fluctuations; Brain dynamics; Independent component analysis (ICA); Mental fatigue; Skin temperature; Sustained attention
Mesh:
Year: 2017 PMID: 29061281 DOI: 10.1016/j.aap.2017.10.014
Source DB: PubMed Journal: Accid Anal Prev ISSN: 0001-4575