Kamzanova Altyngul, Matthews Gerald, Kustubayeva Almira
Center for Cognitive Neuroscience, Al-Farabi Kazakh National University, 71 al-Farabi Ave, 050040, Almaty, Republic of Kazakhstan.
Institute for Simulation and Training, University of Central Florida, 3100 Technology Pkwy, Orlando, FL 32826, USA.
Appl Psychophysiol Biofeedback. 2020 Sep;45(3):183-194. doi: 10.1007/s10484-020-09461-4.
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.
工作表现中的警觉性下降是各种应用场景中一个重要的操作问题。用于警觉性诊断监测的心理生理学方法主要集中在脑电图(EEG)的功率谱密度测量上。本文探讨了另一组脑电图测量指标的诊断价值,即不同电极部位之间的相干性。相干性指标可能反映了支持持续注意力的脑区之间的功能连接。计算了七个预定义脑网络的相干性。工作负荷和任务持续时间因素主要影响前脑、中央脑和半球间网络中的α波和θ波相干性。半球间、左半球内和后脑网络相干性的个体差异与表现相关。这些发现证明了相干性指标的潜在应用价值,尽管必须克服一些方法上的局限性和挑战。