Network controllability mediates the relationship between rigid structure and flexible dynamics.
Network controllability mediates the relationship between rigid structure and flexible dynamics.
复制标题
DOI：
10.1162/netn_a_00225
复制
发表时间：
2022-02
影响因子：
4.7
通讯作者：
Bassett, Dani S.
中科院分区：
文献类型：
--
作者：
Gu, Shi;Fotiadis, Panagiotis;Parkes, Linden;Xia, Cedric H.;Gur, Ruben C.;Gur, Raquel E.;Roalf, David R.;Satterthwaite, Theodore D.;Bassett, Dani S.
大脑的解剖结构是如何支持各种复杂功能的，这在基础和临床神经科学中仍然是一个非常重要的问题。由于缺乏理论框架来解释相对刚性的实际连接的结构网络如何产生功能性神经动力学的多样性，进展受到阻碍。在这里，我们解决这一差距，假设大脑的结构网络架构决定了一套可访问的功能连接模式，根据网络控制理论的预测。在一个由823名8至23岁的青少年组成的大型发育队列中，我们发现大脑区域功能连接的灵活性与其延伸到不同认知系统的结构链接的比例呈正相关。值得注意的是，这种关系是由节点的边界可控性介导的，这表明一个区域在模块边界上的战略位置可能支持跨不同认知过程整合信息的能力。从广义上讲，我们的研究提供了一个机制框架，说明如何在功能网络中观察到的时间灵活性可能是由底层结构连接的可控性介导的。人类大脑中相对僵硬的白色物质线路是如何产生各种功能性神经动力学的，这一点还没有得到很好的理解。在这项工作中，我们结合了网络科学和控制理论的工具来解决这个问题。利用大型发育队列，我们证明了大脑区域随着时间的推移灵活改变其功能模块效忠的能力（即，其模块灵活性）与其投射到多个认知网络的解剖边缘的比例正相关（即，其结构参与系数）。此外，这种关系是强烈介导的区域的边界可控性，一个度量捕捉其能力，整合信息跨多个认知域。
Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance in both basic and clinical neuroscience. Progress has been hampered by the lack of theoretical frameworks explaining how a structural network of relatively rigid interareal connections can produce a diverse repertoire of functional neural dynamics. Here, we address this gap by positing that the brain’s structural network architecture determines the set of accessible functional connectivity patterns according to predictions of network control theory. In a large developmental cohort of 823 youths aged 8 to 23 years, we found that the flexibility of a brain region’s functional connectivity was positively correlated with the proportion of its structural links extending to different cognitive systems. Notably, this relationship was mediated by nodes’ boundary controllability, suggesting that a region’s strategic location on the boundaries of modules may underpin the capacity to integrate information across different cognitive processes. Broadly, our study provides a mechanistic framework that illustrates how temporal flexibility observed in functional networks may be mediated by the controllability of the underlying structural connectivity. Precisely how the relatively rigid white matter wiring of the human brain gives rise to a diverse repertoire of functional neural dynamics is not well understood. In this work, we combined tools from network science and control theory to address this question. Capitalizing on a large developmental cohort, we demonstrated that the ability of a brain region to flexibly change its functional module allegiance over time (i.e., its modular flexibility) was positively correlated with its proportion of anatomical edges projecting to multiple cognitive networks (i.e., its structural participation coefficient). Moreover, this relationship was strongly mediated by the region’s boundary controllability, a metric capturing its capacity to integrate information across multiple cognitive domains.
登录
查看更多内容
影响因子：
5.7
作者：
Alexander-Bloch AF;Shou H;Liu S;Satterthwaite TD;Glahn DC;Shinohara RT;Vandekar SN;Raznahan A
通讯作者：
Raznahan A
影响因子：
5.7
作者：
Betzel RF;Bertolero MA;Gordon EM;Gratton C;Dosenbach NUF;Bassett DS
通讯作者：
Bassett DS
影响因子：
29.9
作者：
Bertolero, Maxwell A.;Yeo, B. T. Thomas;D'Esposito, Mark
通讯作者：
D'Esposito, Mark
影响因子：
5.3
作者：
Baker, Simon T. E.;Lubman, Dan I.;Fornito, Alex
通讯作者：
Fornito, Alex
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y