BK21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
Department of Nuclear Medicine, Department of Radiology, Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sci Rep. 2017 Jan 23;7:41414. doi: 10.1038/srep41414.
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.
个体性，即区分个体之间的独特性，可能表现为在不同的认知需求下功能连接的多样化重新排列；然而，个体性的神经生物学基础，反映在大规模功能连接的个体间差异中，尚未得到充分证明。因此，我们在观看旨在引起不同唤醒水平的相同视频片段时，探索了功能连接动力学、子网络模式和模块结构的个体间变化。我们考察了功能脑网络中个体间变化的表现，涉及四个对比的划分：大脑前区和后区内部的边缘、具有和不具有相应解剖结构连接的边缘、模块间和模块内的连接、以及丰富俱乐部边缘类型。动态功能连接的个体间变化在定位于大脑前区而非后区的边缘上更为明显，而不遵循结构连接，在模块之间而不是模块内，以及在弱连接局部边缘而非强连接丰富俱乐部边缘上更为明显。唤醒水平显著调节功能连接、边缘模式和模块性的个体间变异性，特别是增强了丰富俱乐部边缘的同步性。这些结果表明，个体性存在于对认知需求流的响应中大规模脑网络的动态重新配置中。
