Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography
Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography
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DOI：
10.1038/s41551-019-0404-5
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发表时间：
2019-11-01
影响因子：
28.1
通讯作者：
Bassett, Danielle S.
中科院分区：
文献类型：
--
作者：
Betzel, Richard F.;Medaglia, John D.;Bassett, Danielle S.
皮质电图（ECoG）数据可用于估计全脑连接模式。然而，ECoG的侵入性，不完整的皮质覆盖，以及个体之间电极放置的可变性使得ECoG数据的网络分析具有挑战性。在这里，我们表明，全脑ECoG网络的架构和塑造它的因素，可以通过分析全脑，区域间和频带有限的ECoG网络从一个大的队列，在这种情况下，与耐药性癫痫的个人进行研究。利用网络科学的工具，我们描述了ECoG网络的基本组织，包括频率特定的架构，隔离模块和连接权重对区域间欧氏距离的依赖性。然后，我们使用线性模型来解释成对大脑区域之间的连接强度的变化，并强调在塑造ECoG网络的全脑组织中，沿着白色通路的沿着通路的通信，区域间欧几里得距离和相关基因表达的联合作用。此外，我们扩展了这些模型来预测样本外的单一受试者数据。我们的预测模型可能具有未来的临床实用性，例如，通过预测皮质切除对区域间通信的影响。
Electrocorticography (ECoG) data can be used to estimate brain-wide connectivity patterns. Yet, the invasiveness of ECoG, incomplete cortical coverage, and variability in electrode placement across individuals make the network analysis of ECoG data challenging. Here, we show that the architecture of whole-brain ECoG networks and the factors that shape it can be studied by analysing whole-brain, interregional and band-limited ECoG networks from a large cohort-in this case, of individuals with medication-resistant epilepsy. Using tools from network science, we characterized the basic organization of ECoG networks, including frequency-specific architecture, segregated modules and the dependence of connection weights on interregional Euclidean distance. We then used linear models to explain variabilities in the connection strengths between pairs of brain regions, and to highlight the joint role, in shaping the brain-wide organization of ECoG networks, of communication along white matter pathways, interregional Euclidean distance and correlated gene expression. Moreover, we extended these models to predict out-of-sample, single-subject data. Our predictive models may have future clinical utility; for example, by anticipating the effect of cortical resection on interregional communication.