Network Neuroscience

人脑是一个复杂的网络，由解剖学上相互连接和功能上相互作用的神经元群组成。这些神经元群体之间的集体信号支持适应性行为，而扰动，如刺激诱导的活动，通过解剖投影从它们的源位置传播。在Misic博士和他的团队的带领下，最近的概念和技术进步为理解大脑的网络组织如何塑造动态生物过程提供了机会。这项工作将整合网络科学和脑成像，以开发新的计算方法来预测模式功能相互作用、认知表现的个体差异和脑刺激的影响。

The human brain is a complex network of anatomically connected and functionally interacting neuronal populations. Collective signaling among these neuronal populations supports adaptive behaviour, while perturbations, such as stimulation-induced activity, spread from their source location via anatomical projections. Recent conceptual and technical advances, spearheaded by Dr. Misic and his team, provide the opportunity to understand how the network organization of the brain shapes dynamic biological processes. The proposed work will integrate network science and brain imaging to develop novel computational methods for predicting patterned functional interactions, individual differences in cognitive performance and the effects of brain stimulation.