Structural determinants of dynamic fluctuations between segregation and integration on the human connectome.

Structural determinants of dynamic fluctuations between segregation and integration on the human connectome.
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DOI:
10.1038/s42003-020-01331-3
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发表时间:
2020-10-23
影响因子:
5.9
通讯作者:
Sporns O
Sporns O
中科院分区:
生物学2区
文献类型:
--
作者:
Fukushima M;Sporns O

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虽然新皮层中神经信息的分离和整合被认为对人类行为和认知很重要,但使其动态波动的神经基质仍然难以捉摸。为了解决这个问题,我们的目标是确定连接组的特定网络特征,这些特征负责人类静息状态功能连接中分离模式和集成模式之间动态波动的出现。在这里,我们通过构建重新连接的代理连接组来检查网络特征对动态波动的贡献,其中有选择地保留感兴趣的网络特征,然后通过评估这些代理模拟的波动幅度。我们的分析证明了连接体的整体几何和拓扑结构以及涉及视觉区域的局部结构连接的重要贡献。通过提供功能连接动态波动的结构解释,本研究为驱动大脑分离和整合的时间变化的生成机制提供了新的见解。Makoto Fukushima和Olaf Sporns报告说,连接体的整体几何和拓扑结构,以及涉及视觉区域的局部结构连接,对大脑中分离和整合的时间变化做出了重大贡献。
While segregation and integration of neural information in the neocortex are thought to be important for human behavior and cognition, the neural substrates enabling their dynamic fluctuations remain elusive. To tackle this problem, we aim to identify specific network features of the connectome that are responsible for the emergence of dynamic fluctuations between segregated and integrated patterns in human resting-state functional connectivity. Here we examine the contributions of network features to dynamic fluctuations by constructing rewired surrogate connectome in which network features of interest are selectively preserved, and then by assessing the magnitude of fluctuations simulated with these surrogates. Our analysis demonstrates significant contributions from global geometry and topology of the connectome, as well as from localized structural connections involving visual areas. By providing structural accounts of dynamic fluctuations in functional connectivity, this study offers new insights into generative mechanisms driving temporal changes in segregation and integration in the brain. Makoto Fukushima and Olaf Sporns report that significant contributions from global geometry and topology of the connectome, as well as from localized structural connections involving visual areas drive temporal changes in segregation and integration in the brain.
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