The organization of local and distant functional connectivity in the human brain.
The organization of local and distant functional connectivity in the human brain.
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DOI：
10.1371/journal.pcbi.1000808
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发表时间：
2010-06-10
影响因子：
4.3
通讯作者：
Buckner RL
中科院分区：
文献类型：
--
作者：
Sepulcre J;Liu H;Talukdar T;Martincorena I;Yeo BT;Buckner RL
人类大脑中的信息处理来自相邻区域之间的相互作用和形成分布式大脑系统的远程投射。在这里，我们通过估计直接围绕大脑区域的局部（≤ 14 mm）邻域与远距离（> 14 mm）相互作用的内在功能连接程度，绘制了不同空间尺度上的相互作用。在休息时测量的本地和远程功能之间的相互作用的平衡形成了一个地图，分离感觉运动皮层的异模态关联区，并进一步确定具有高本地和远程皮质-皮质相互作用的区域。地图估计的网络措施表明，高的本地连接是最经常与高的聚类系数，长的路径长度，和低的物理成本。任务性能改变了本地和远程功能耦合的一个子集的区域之间的平衡，特别是，增加本地功能耦合的区域从事的任务。所观察到的特性表明，大脑已经进化出一种平衡，这种平衡可以优化不同类别的专门区域之间的信息处理效率，以及调节耦合以支持动态变化的处理需求的机制。我们讨论了这些意见和应用本方法探索正常和非典型脑功能的影响。人类大脑中的信息处理来自相邻大脑区域之间的相互作用和形成分布式系统的远程投射。在这里，我们使用一种新的方法来绘制本地和远程功能连接之间的区域平衡，估计人类大脑中的功能连接配置文件。我们发现，人类大脑表现出不同的连接配置文件跨区域与初级感觉和运动区显示优先本地连接和heteromodal关联领域显示优先远程连接。这些发现扩展了我们对人类大脑如何专门化其架构以优化处理效率的知识，并提供了一种方法来测量个体的本地和远程连接的典型平衡程度。
Information processing in the human brain arises from both interactions between adjacent areas and from distant projections that form distributed brain systems. Here we map interactions across different spatial scales by estimating the degree of intrinsic functional connectivity for the local (≤14 mm) neighborhood directly surrounding brain regions as contrasted with distant (>14 mm) interactions. The balance between local and distant functional interactions measured at rest forms a map that separates sensorimotor cortices from heteromodal association areas and further identifies regions that possess both high local and distant cortical-cortical interactions. Map estimates of network measures demonstrate that high local connectivity is most often associated with a high clustering coefficient, long path length, and low physical cost. Task performance changed the balance between local and distant functional coupling in a subset of regions, particularly, increasing local functional coupling in regions engaged by the task. The observed properties suggest that the brain has evolved a balance that optimizes information-processing efficiency across different classes of specialized areas as well as mechanisms to modulate coupling in support of dynamically changing processing demands. We discuss the implications of these observations and applications of the present method for exploring normal and atypical brain function. Information processing in the human brain arises from both interactions between adjacent brain areas and from distant projections that form distributed systems. Here we estimated functional connectivity profiles in the human brain using a novel approach to map the regional balance between local and distant functional connectivity. We discovered that the human brain exhibits distinct connectivity profiles across regions with primary sensory and motor areas displaying preferential local connectivity and heteromodal association areas displaying preferential distant connectivity. These findings expand our knowledge of how the human brain has specialized its architecture to optimize processing efficiency and provides an approach to measure, in individuals, the degree to which the typical balance of local and distant connectivity is present.
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影响因子：
4.3
作者：
Achard S;Bullmore E
通讯作者：
Bullmore E
DOI：
10.1073/pnas.0402680101
发表时间：
2004-05-25
影响因子：
11.1
作者：
Gogtay, N;Giedd, JN;Thompson, PM
通讯作者：
Thompson, PM
影响因子：
5.3
作者：
Achard, S;Salvador, R;Bullmore, ET
通讯作者：
Bullmore, ET
影响因子：
3.7
作者：
Felleman, Daniel J.;Van Essen, David C.
通讯作者：
Van Essen, David C.
影响因子：
5.7
作者：
Fransson, Peter;Marrelec, Guillaume
通讯作者：
Marrelec, Guillaume