Developmental increases in white matter network controllability support a growing diversity of brain dynamics.
Developmental increases in white matter network controllability support a growing diversity of brain dynamics.
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DOI：
10.1038/s41467-017-01254-4
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发表时间：
2017-11-01
影响因子：
16.6
通讯作者：
Bassett DS
中科院分区：
文献类型：
--
作者：
Tang E;Giusti C;Baum GL;Gu S;Pollock E;Kahn AE;Roalf DR;Moore TM;Ruparel K;Gur RC;Gur RE;Satterthwaite TD;Bassett DS
随着人类大脑的发展，它越来越支持神经活动的协调控制。白色物质进化以支持这种协调的机制还不清楚。在这里，我们使用了一个网络表示的扩散成像数据从882青年8-22岁，显示白色物质连接变得越来越优化的各种预测动态的发展。值得注意的是，皮质下区域的稳定控制器与认知表现呈负相关。调查支持这些变化的结构机制，我们模拟网络的演化与一组增长规则。我们发现，所有的大脑网络都是以一种高度优化的网络控制方式构建的，在儿童与老年人中预测了不同的控制机制。我们证明了我们的结果不能用网络模块化的变化来解释。这项工作揭示了人类大脑发育的一种可能机制，该机制优先优化动态网络控制而不是静态网络结构。人类大脑发育的特点是对神经活动的控制增加，但这是如何发生的还不清楚。在这里，作者表明，882名8-22岁的年轻人的白色物质连接变得越来越专业化，并为网络控制进行了优化。
As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well understood. Here we use a network representation of diffusion imaging data from 882 youth ages 8–22 to show that white matter connectivity becomes increasingly optimized for a diverse range of predicted dynamics in development. Notably, stable controllers in subcortical areas are negatively related to cognitive performance. Investigating structural mechanisms supporting these changes, we simulate network evolution with a set of growth rules. We find that all brain networks are structured in a manner highly optimized for network control, with distinct control mechanisms predicted in child vs. older youth. We demonstrate that our results cannot be explained by changes in network modularity. This work reveals a possible mechanism of human brain development that preferentially optimizes dynamic network control over static network architecture. Human brain development is characterized by an increased control of neural activity, but how this happens is not well understood. Here, authors show that white matter connectivity in 882 youth, aged 8-22, becomes increasingly specialized locally and is optimized for network control.
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影响因子：
16.2
作者：
Fries P
通讯作者：
Fries P
DOI：
10.1098/rstb.2013.0530
发表时间：
2014-10-05
期刊：
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子：
--
作者：
Avena-Koenigsberger A;Goñi J;Betzel RF;van den Heuvel MP;Griffa A;Hagmann P;Thiran JP;Sporns O
通讯作者：
Sporns O
影响因子：
3
作者：
Chrysikou, Evangelia G.;Novick, Jared M.;Thompson-Schill, Sharon L.
通讯作者：
Thompson-Schill, Sharon L.
影响因子：
4.7
作者：
Chai, Lucy R.;Khambhati, Ankit N.;Bassett, Danielle S.
通讯作者：
Bassett, Danielle S.
影响因子：
25.8
作者：
Cerliani, Leonardo;Mennes, Maarten;Thomas, Rajat M.;Di Martino, Adriana;Thioux, Marc;Keysers, Christian
通讯作者：
Keysers, Christian