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Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing

机译:在电影观看期间,个性地表现在大规模脑网络中的动态重构

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Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional connectivity, have not been fully evidenced. Accordingly, we explored inter-individual variations of functional connectivity dynamics, subnetwork patterns and modular architecture while subjects watched identical video clips designed to induce different arousal levels. How inter-individual variations are manifested in the functional brain networks was examined with respect to four contrasting divisions: edges within the anterior versus posterior part of the brain, edges with versus without corresponding anatomically-defined structural pathways, inter- versus intra-module connections, and rich club edge types. Inter-subject variation in dynamic functional connectivity occurred to a greater degree within edges localized to anterior rather than posterior brain regions, without adhering to structural connectivity, between modules as opposed to within modules, and in weak-tie local edges rather than strong-tie rich-club edges. Arousal level significantly modulates inter-subject variability in functional connectivity, edge patterns, and modularity, and particularly enhances the synchrony of rich-club edges. These results imply that individuality resides in the dynamic reconfiguration of large-scale brain networks in response to a stream of cognitive demands.
机译:个性,将一个人与另一个人区分开的独特性可能表现为异构认知需求期间功能连通性的不同重排;然而,在大规模功能连通性间的个性变化中反映的个性的神经生物学衬底尚未得到充分证明。因此,我们探讨了功能性连接动力学,子网模式和模块化架构的各种变体,而受试者观看了旨在诱导不同唤醒水平的相同视频剪辑。针对四个对比度划分检查了功能性脑网络中的各种变化如何:前部与大脑后部的边缘,具有相反的边缘,而无需相应的解剖结构途径,与模块间连接间之间和富俱乐部边缘类型。动态功能连接的互孔帧变化发生在定位于前脑区域的边缘的边缘的更大程度,而不是粘附在模块之间的结构连接,而不是模块内,并且在弱 - 系列局部边缘而不是强大的领带Rich-Club边缘。唤醒水平显着调节功能连通性,边缘图案和模块化的主题间变异性,特别是增强了富杆杆边缘的同步。这些结果意味着个性地依赖于响应于认知需求流的大规模脑网络的动态重新配置。

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