标题： 个性化脑网络模型用于评估结构-功能关系 显示英文标题

标题： Personalized brain network models for assessing structure-function relationships

摘要： 许多最近在宏观尺度大脑动态计算建模方面的努力开始采用数据驱动的方法，通过结合从受试者数据中获得的结构和/或功能信息。 在这里，我们讨论使用个性化脑网络模型来研究人脑中的结构-功能关系的最新工作。 我们描述了构建此类模型所需的步骤，并展示了这种计算方法如何通过进行虚拟实验的能力提供以前无法获得的信息。 最后，我们展示了个性化脑网络模型如何用于深入了解局部刺激的影响，并改善癫痫手术结果的例子。 显示英文摘要

摘要： Many recent efforts in computational modeling of macro-scale brain dynamics have begun to take a data-driven approach by incorporating structural and/or functional information derived from subject data. Here, we discuss recent work using personalized brain network models to study structure-function relationships in human brains. We describe the steps necessary to build such models and show how this computational approach can provide previously unobtainable information through the ability to perform virtual experiments. Finally, we present examples of how personalized brain network models can be used to gain insight into the effects of local stimulation and improve surgical outcomes in epilepsy.