Network structure of cerebral cortex shapes functional connectivity on multiple time scales
Network structure of cerebral cortex shapes functional connectivity on multiple time scales
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DOI：
10.1073/pnas.0701519104
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发表时间：
2007-06-12
影响因子：
11.1
通讯作者：
Sporns, Olaf
中科院分区：
文献类型：
--
作者：
Honey, Christopher J.;Koetter, Rolf;Sporns, Olaf
即使在没有外部输入的情况下，大脑皮层内的神经元动力学也表现出复杂的空间和时间模式。在这里，我们使用一种计算方法，试图将这些功能的自发皮质动力学的基础解剖连接。模拟非线性神经元动力学的网络，捕捉大规模的区域间连接的猕猴新皮层，并应用信息理论的措施，以确定功能网络，我们发现在多个时间尺度的结构-功能关系。从神经活动的长窗口（分钟）恢复的功能网络在很大程度上与底层结构网络重叠。因此，这些长期运行的功能网络中的枢纽与结构性枢纽相对应。相比之下，在连续较短（秒）的时间窗口恢复的网络序列中观察到功能拓扑的显着波动。随着区域间耦合的变化，各个节点的功能中心性随时间而变化。此外，大脑区域之间的瞬时耦合是以一种方式协调的，这种方式揭示了两个神经元相关簇的存在。这些集群由前额叶和顶叶区域连接，这些区域是底层结构网络中的枢纽节点。在一个更快的时间尺度（数百毫秒），我们检测到个别事件的区域间锁相，并发现这些瞬态事件的统计数据的缓慢变化，取决于底层的解剖结构，产生的传输熵功能连接和模拟血氧水平依赖的相关模式观察到较慢的时间尺度。
Neuronal dynamics unfolding within the cerebral cortex exhibit complex spatial and temporal patterns even in the absence of external input. Here we use a computational approach in an attempt to relate these features of spontaneous cortical dynamics to the underlying anatomical connectivity. Simulating nonlinear neuronal dynamics on a network that captures the large-scale interregional connections of macaque neocortex, and applying information theoretic measures to identify functional networks, we find structure-function relations at multiple temporal scales. Functional networks recovered from long windows of neural activity (minutes) largely overlap with the underlying structural network. As a result, hubs in these long-run functional networks correspond to structural hubs. In contrast, significant fluctuations in functional topology are observed across the sequence of networks recovered from consecutive shorter (seconds) time windows. The functional centrality of individual nodes varies across time as interregional couplings shift. Furthermore, the transient couplings between brain regions are coordinated in a manner that reveals the existence of two anticorrelated clusters. These clusters are linked by prefrontal and parietal regions that are hub nodes in the underlying structural network. At an even faster time scale (hundreds of milliseconds) we detect individual episodes of interregional phase-locking and find that slow variations in the statistics of these transient episodes, contingent on the underlying anatomical structure, produce the transfer entropy functional connectivity and simulated blood oxygenation level-dependent correlation patterns observed on slower time scales.