Wu Qian, Zhao Charlie W, Long Zhe, Xiao Bo, Feng Li
Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Department of Neuroscience, Yale School of Medicine, Yale University, New Haven, CT, United States.
Front Neuroanat. 2018 Apr 6;12:25. doi: 10.3389/fnana.2018.00025. eCollection 2018.
Epilepsy is a paroxysmal neurological disorder characterized by recurrent and unprovoked seizures affecting approximately 50 million people worldwide. Cognitive dysfunction induced by seizures is a severe comorbidity of epilepsy and epilepsy syndromes and reduces patients' quality of life. Seizures, along with accompanying histopathological and pathophysiological changes, are associated with cognitive comorbidities. Advances in imaging technology and computing allow anatomical and topological changes in neural networks to be visualized. Anatomical components including the hippocampus, amygdala, cortex, corpus callosum (CC), cerebellum and white matter (WM) are the fundamental components of seizure- and cognition-related topological networks. Damage to these structures and their substructures results in worsening of epilepsy symptoms and cognitive dysfunction. In this review article, we survey structural, network changes and topological alteration in different regions of the brain and in different epilepsy and epileptic syndromes, and discuss what these changes may mean for cognitive outcomes related to these disease states.
癫痫是一种阵发性神经系统疾病,其特征是反复发作且无诱因的癫痫发作,全球约有5000万人受其影响。癫痫发作引起的认知功能障碍是癫痫及癫痫综合征的一种严重合并症,会降低患者的生活质量。癫痫发作以及伴随的组织病理学和病理生理学变化与认知合并症相关。成像技术和计算技术的进步使神经网络的解剖学和拓扑学变化得以可视化。包括海马体、杏仁核、皮质、胼胝体(CC)、小脑和白质(WM)在内的解剖学成分是癫痫发作和认知相关拓扑网络的基本组成部分。这些结构及其子结构受损会导致癫痫症状恶化和认知功能障碍。在这篇综述文章中,我们调查了大脑不同区域以及不同癫痫和癫痫综合征中的结构、网络变化和拓扑改变,并讨论了这些变化对于与这些疾病状态相关的认知结果可能意味着什么。