首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Functional brain network analysis reveals time-on-task related performance decline
【24h】

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

机译:功能性大脑网络分析显示与任务时间相关的性能下降

获取原文

摘要

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:由于不希望有的后果,尤其是在实词工作空间中性能下降的情况下,因此人们一直在不断努力以了解与任务时间(TOT)相关的精神疲劳。但是,我们对TOT的潜在神经机制的理解仍然很初级。在这项研究中,记录了来自26名受试者的EEG信号,这些受试者接受了20分钟的精神要求较高的心理运动警惕性测试。行为和EEG数据被分为4个四分位数,以更好地揭示TOT效果的进展,而不仅仅是两点比较(即疲劳与警惕)。然后,我们采用高级图论方法,根据较低α(8-10 Hz)频段内脑电功能连接的全局和局部重组来量化TOT效应。有趣的是,我们发现具有TOT效应的集成式网络拓扑的发展趋势,如特征路径长度的显着增加和小世界性的降低所见。此外,我们发现与TOT相关的左额叶和中部区域互连性的局部性降低,而右顶叶区域的局部性增强。这些发现加深了我们对长期任务积累后大脑如何重组的理解,并证明了使用网络指标作为精神疲劳评估的神经生物标记物的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号