Dynamical consequences of lesions in cortical networks
Dynamical consequences of lesions in cortical networks
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DOI：
10.1002/hbm.20579
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发表时间：
2008-07-01
影响因子：
4.8
通讯作者：
Sporns, Olaf
中科院分区：
文献类型：
--
作者：
Honey, Christopher J.;Sporns, Olaf
为了理解皮层损伤的影响，不仅需要考虑局部神经功能的丧失，还需要考虑损伤引起的大脑中内源性振荡相互作用的更大网络的变化。为了研究网络嵌入如何影响一个区域的功能作用，以及其被损坏的后果，我们实现了两个模型的振荡皮层相互作用，这两个模型都继承了它们的耦合架构，从可用的解剖连接数据猕猴大脑皮层。在第一个模型中，节点动力学由仓本相振子方程，我们调查的序列中，该地区夹带彼此在过渡到全球同步。在第二个模型中，节点动态是由一个更现实的神经质量模型，我们评估长期运行的区域间的相互作用，使用定向信息流的措施。高度连接的顶叶和额叶区域被发现同步最快，比同样高度连接的视觉和体感区域更快，这种差异可以用网络的集群架构来解释。对于这两种模型，病变的影响超出了病变部位的直接邻居，和非局部效应的振幅和分散再次受到网络中的集群模式的影响。虽然在体内病变的后果将始终取决于电路局部受损的网站，我们得出结论，顶叶区域（特别是地区5和7A）和额叶区域（特别是地区46和FEF）的病变有最大的潜力破坏新皮层功能的整合方面。
To understand the effects of a cortical lesion it is necessary to consider not only the loss of local neural function, but also the lesion-induced changes in the larger network of endogenous oscillatory interactions in the brain. To investigate how network embedding influences a region's functional role, and the consequences of its being damaged, we implement two models of oscillatory cortical interactions, both of which inherit their coupling architecture from the available anatomical connection data for macaque cerebral cortex. In the first model, node dynamics are governed by Kuramoto phase oscillator equations, and we investigate the sequence in which areas entrain one another in the transition to global synchrony. In the second model, node dynamics are governed by a more realistic neural mass model, and we assess long-run inter-regional interactions using a measure of directed information flow. Highly connected parietal and frontal areas are found to synchronize most rapidly, more so than equally highly connected visual and somatosensory areas, and this difference can be explained in terms of the network's clustered architecture. For both models, lesion effects extend beyond the immediate neighbors of the lesioned site, and the amplitude and dispersal of nonlocal effects are again influenced by cluster patterns in the network. Although the consequences of in vivo lesions will always depend on circuitry local to the damaged site, we conclude that lesions of parietal regions (especially areas 5 and 7a) and frontal regions (especially areas 46 and FEF) have the greatest potential to disrupt the integrative aspects of neocortical function.