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Altered Regional Brain Communities during High Order Cognitive Processes: Relation to Vigilance Decrement

机译:高阶认知过程中区域性大脑社区的变化:与警惕性下降的关系。

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Understanding modular organization between brain regions can provide deeper insight into the complex neural mechanisms associated with processes like vigilance decrement. Distinct but interacting modules in brain connectivity networks have been known to support integration of specific mechanisms relevant in high-order cognitive processes. To investigate the neuronal mechanisms associated with vigilance decrement, we conducted an experiment where the participants performed a driving task. EEG graph metrics within communities, like clustering coefficient (Cintra), efficiency (Eintra), density (Dintra), and between communities, like intermodule density (Dinter), were computed from the source-localized surface brain signals. Further, we also calculated the nodal out degree to investigate the difference in information flow in the brain during vigilance decrement. Increase in the intermodule density, Dinter, was observed from the left fronto-parietal cluster to the right temporo-parietal cluster. Moreover, significant reduction in the intramodule metrics, Eintra and Cintra was observed in the right temporo- parietal cluster. Thus, our findings signify a flexible topographical architecture to compensate the hub disruption effect caused due to decline in vigilance.
机译:了解大脑区域之间的模块化组织可以更深入地了解与警戒递减等过程相关的复杂神经机制。已知大脑连接网络中独特但相互作用的模块可支持与高阶认知过程相关的特定机制的整合。为了研究与警惕性下降相关的神经元机制,我们进行了一项实验,参与者在其中执行了驾驶任务。社区内的EEG图指标,例如聚类系数(C 内部 ),效率(E 内部 ),密度(D 内部 ),以及社区之间,例如模块间密度(D inter )是根据源本地化的表面脑信号计算得出的。此外,我们还计算了节点向外度,以调查警惕性降低期间大脑中信息流的差异。模块间密度D的增加 inter 从左侧额顶簇到右侧颞顶簇被观察到。此外,模块内指标E显着减少 内部 和C 内部 在右侧颞顶簇中观察到。因此,我们的发现表明,灵活的地形结构可以补偿由于警惕性下降而导致的枢纽破坏效应。

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