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首页> 外文期刊>Neuron >The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance
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The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

机译:功能性脑网络的动力学:认知任务执行过程中的集成网络状态。

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Higher brain function relies upon the ability to flexibly integrate information across specialized communities of brain regions; however, it is unclear how this mechanism manifests over time. In this study, we used time-resolved network analysis of fMRI data to demonstrate that the human brain traverses between functional states that maximize either segregation into tight-knit communities or integration across otherwise disparate neural regions. Integrated states enable faster and more accurate performance on a cognitive task, and are associated with dilations in pupil diameter, suggesting that ascending neuromodulatory systems may govern the transition between these alternative modes of brain function. Together, our results confirm a direct link between cognitive performance and the dynamic reorganization of the network structure of the brain.
机译:更高的大脑功能依赖于跨专业大脑区域社区灵活整合信息的能力。然而,目前尚不清楚这种机制是如何随着时间而显现的。在这项研究中,我们使用功能磁共振成像数据的时间分辨网络分析来证明人脑在功能状态之间移动,从而最大程度地隔离到紧密的社区中或在其他分散的神经区域中进行整合。整合状态可以使认知任务更快,更准确地表现出来,并且与瞳孔直径的扩张有关,这表明上升的神经调节系统可以控制这些大脑功能替代模式之间的过渡。总之,我们的结果证实了认知能力与大脑网络结构的动态重组之间的直接联系。

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