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EEG Coherence Metrics for Vigilance: Sensitivity to Workload, Time-on-Task, and Individual Differences.
Applied Psychophysiology and Biofeedback ( IF 2.2 ) Pub Date : 2020-04-15 , DOI: 10.1007/s10484-020-09461-4
Altyngul Kamzanova 1 , Gerald Matthews 2 , Almira Kustubayeva 1
Affiliation  

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.

中文翻译:

警惕的 EEG 一致性指标:对工作量、任务时间和个体差异的敏感性。

在各种应用环境中,性能的警惕性下降是一个重要的操作问题。用于诊断监测警惕性的心理生理学方法侧重于来自脑电图 (EEG) 的功率谱密度测量。本文讨论了一组替代 EEG 测量的诊断性,不同电极部位之间的一致性。连贯性指标可以索引支持持续注意力的大脑区域之间的功能连接。计算了七个预先定义的大脑网络的相干性。工作量和任务时间因素主要影响前部、中央和半球间网络中的 alpha 和 theta 连贯性。半球间、左半球内和后网络的一致性的个体差异与性能相关。
更新日期:2020-04-15
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