Epileptic brain network mechanisms and neuroimaging techniques for the brain network
Yi Guo1
Zhonghua Lin2
Zhen Fan3
Xin Tian4
1.Department of Neurology,Sichuan Provincial People's Hospital,University of Electronic Science and Technology of China,Chengdu,Sichuan Province,China2.Sichuan Provincial Center for Mental Health,Sichuan Provincial People's Hospital,University of Electronic Science and Technology of China,Chengdu,Sichuan Province,China3.Department of Geriatrics,Sichuan Provincial People's Hospital,University of Electronic Science and Technology of China,Chengdu,Sichuan Province,China4.Department of Neurology,Chongqing Key Laboratory of Neurology,The First Affiliated Hospital of Chongqing Medical University,Chongqing,China
摘要：Epilepsy can be defined as a dysfunction of the brain network,and each type of epilepsy involves different brain-network changes that are implicated differently in the control and propagation of interictal or ictal discharges.Gaining more detailed information on brain network alterations can help us to further understand the mechanisms of epilepsy and pave the way for brain network-based precise therapeutic approaches in clinical practice.An increasing number of advanced neuroimaging techniques and electrophysiological techniques such as diffusion tensor imaging-based fiber tractography,diffusion kurtosis imaging-based fiber tractography,fiber ball imaging-based tractography,electroencephalography,functional magnetic resonance imaging,magnetoencephalography,positron emission tomography,molecular imaging,and functional ultrasound imaging have been extensively used to delineate epileptic networks.In this review,we summarize the relevant neuroimaging and neuroelectrophysiological techniques for assessing structural and functional brain networks in patients with epilepsy,and extensively analyze the imaging mechanisms,advantages,limitations,and clinical application ranges of each technique.A greater focus on emerging advanced technologies,new data analysis software,a combination of multiple techniques,and the construction of personalized virtual epilepsy models can provide a theoretical basis to better understand the brain network mechanisms of epilepsy and make surgical decisions.
机标关键词：networkbrainepilepticmechanismsneuroimagingtechniques
论文发表日期：2024-12-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 2637-2648 )
英文信息