Omidvarnia Amir, Pedersen Mangor, Rosch Richard E, Friston Karl J, Jackson Graeme D
The Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.
The Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia.
Neuroimage Clin. 2017 May 26;15:682-688. doi: 10.1016/j.nicl.2017.05.019. eCollection 2017.
In this opinion paper, we describe a combined view of functional and effective brain connectivity along with the free-energy principle for investigating persistent disruptions in brain networks of patients with focal epilepsy. These changes are likely reflected in effective connectivity along the cortical hierarchy and construct the basis of increased local functional connectivity in focal epilepsy. We propose a testable framework based on dynamic causal modelling and functional connectivity analysis with the capacity of explaining commonly observed connectivity changes during interictal periods. We then hypothesise their possible relation with disrupted free-energy minimisation in the Bayesian brain. This may offer a new approach for neuroimaging to specifically develop and address hypotheses regarding the network pathomechanisms underlying epileptic phenotypes.
在这篇观点论文中，我们描述了功能和有效脑连接性的综合观点，以及用于研究局灶性癫痫患者脑网络持续性破坏的自由能原理。这些变化可能反映在沿皮质层级的有效连接性中，并构成局灶性癫痫中局部功能连接性增加的基础。我们基于动态因果模型和功能连接性分析提出了一个可检验的框架，该框架有能力解释发作间期常见的连接性变化。然后，我们推测它们与贝叶斯大脑中自由能最小化破坏的可能关系。这可能为神经影像学提供一种新方法，以专门提出并解决关于癫痫表型潜在网络病理机制的假设。
