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Functional brain network analysis reveals time-on-task related performance decline

机译:功能性脑网络分析揭示了任务时间相关的性能下降

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Because of the undesired consequences, particularly seen in deteriorated performance in real-word workspace, continuous efforts have been made to understand time-on-task (TOT) related mental fatigue. However, our understanding of the underlying neural mechanism of TOT is still rudimentary. In this study, EEG signals were recorded from 26 subjects undergoing a 20-min mentally-demanding psychomotor vigilance test. Instead of a mere two-point comparison (i.e., fatigue vs. vigilant), behaviour and EEG data were divided into 4 quartiles for better revealing the progression of TOT effect. We then employed advanced graph theoretical approach to quantify TOT effect in terms of global and local reorganisation of EEG functional connectivity within the lower alpha (8-10 Hz) band. Interestingly, we found a development trend towards disintegrated network topology with the TOT effect, as seen in significantly increased characteristic path length and reduced small-worldness. Moreover, we found TOT-related reduced local property of interconnectivity in left frontal and central areas with an increased local property in right parietal areas. These findings augment our understanding of how the brain reorganises following the accumulation of prolonged task and demonstrate the feasibility of using network metrics as neural biomarkers for mental fatigue assessment.
机译:由于在实际工作空间中的恶化性能下,特别是在实际工作空间中的情况下,持续努力来了解任务时间(Tot)相关精神疲劳的不希望的后果。然而,我们对Tot的潜在神经机制的理解仍然是基本的。在本研究中,从26个受试者记录了脑电图,从而进行了20分钟的精神上的精神接受治愈试验。而不是仅仅是两点比较(即,疲劳与警惕),行为和脑电图数据被分为4个四分位数,以便更好地揭示TOT效应的进展。然后,我们采用了先进的图形理论方法来量化TOT效应,在下α(8-10 Hz)频段内的全局和局部重组方面。有趣的是,我们发现了一种发展趋势,朝着TOT效应进行了解体网络拓扑,如明显增加的特征路径长度和减少的小世界。此外,我们发现与左前部和中心地区的互连互连的局部特性有关的局部特性,并在右侧地区增加了局部财产。这些调查结果增加了我们对大脑重组的理解在长期任务的积累后,并证明使用网络指标作为神经生物标志物进行心理疲劳评估的可行性。

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