EEG Coherence Metrics for Vigilance: Sensitivity to Workload, Time-on-Task, and Individual Differences

被引:6
|
作者
Kamzanova, Altyngul [1 ]
Matthews, Gerald [2 ]
Kustubayeva, Almira [1 ]
机构
[1] Al Farabi Kazakh Natl Univ, Ctr Cognit Neurosci, 71 Al Farabi Ave, Alma Ata 050040, Kazakhstan
[2] Univ Cent Florida, Inst Simulat & Training, 3100 Technol Pkwy, Orlando, FL 32826 USA
关键词
Vigilance; EEG; Coherence; Workload; Individual differences; Synchronization; Diagnostic monitoring; LONG-RANGE; SUSTAINED ATTENTION; MENTAL WORKLOAD; WORKING-MEMORY; ALPHA; SYNCHRONIZATION; CONNECTIVITY; OSCILLATIONS; PERFORMANCE; ENGAGEMENT;
D O I
10.1007/s10484-020-09461-4
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The vigilance decrement in performance is a significant operational issue in various applied settings. Psychophysiological methods for diagnostic monitoring of vigilance have focused on power spectral density measures from the electroencephalogram (EEG). This article addresses the diagnosticity of an alternative set of EEG measures, coherence between different electrode sites. Coherence metrics may index the functional connectivity between brain regions that supports sustained attention. Coherence was calculated for seven pre-defined brain networks. Workload and time-on-task factors primarily influenced alpha and theta coherence in anterior, central, and inter-hemispheric networks. Individual differences in coherence in inter-hemispheric, left intro-hemispheric and posterior networks correlated with performance. These findings demonstrate the potential applied utility of coherence metrics, although several methodological limitations and challenges must be overcome.
引用
收藏
页码:183 / 194
页数:12
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