Epileptic brain network mechanisms and neuroimaging techniques for the brain network

作者全名：Guo, Yi; Lin, Zhonghua; Fan, Zhen; Tian, Xin

作者地址：[Guo, Yi] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Neurol, Chengdu, Sichuan, Peoples R China; [Lin, Zhonghua] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Sichuan Prov Ctr Mental Hlth, Chengdu, Sichuan, Peoples R China; [Fan, Zhen] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Geriatr, Chengdu, Sichuan, Peoples R China; [Tian, Xin] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing Key Lab Neurol, Chongqing, Peoples R China

通信作者：Fan, Z (通讯作者)，Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Geriatr, Chengdu, Sichuan, Peoples R China.; Tian, X (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing Key Lab Neurol, Chongqing, Peoples R China.

来源：NEURAL REGENERATION RESEARCH

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:001207354200029

JCR分区：Q1

影响因子：5.9

年份：2024

卷号：19

期号：12

开始页：2637

结束页：2648

文献类型：Article

关键词：electrophysiological techniques; epilepsy; functional brain network; functional magnetic resonance imaging; functional near-infrared spectroscopy; machine leaning; molecular imaging; neuroimaging techniques; structural brain network; virtual epileptic models

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.

基金机构：Natural Science Foundation of Sichuan Province of China [2022NSFSC1545, 2022NSFSC1387]; Science and Technology Research Program of Chongqing Education Commission of China [KJQN202200435]; Natural Science Foundation of Chongqing of China [CSTB2022NSCQ-LZX0038, cstc2021ycjh-bgzxm0035]; National Natural Science Foundation of China [82001378]; Joint Project of Chongqing Health Commission and Science and Technology Bureau [2023QNXM009]; Chongqing Talents: Exceptional Young Talents Project [CQYC202005014]

基金资助正文：This work was supported by the Natural Science Foundation of Sichuan Province of China, Nos. 2022NSFSC1545 (to YG), 2022NSFSC1387 (to ZF); the Natural Science Foundation of Chongqing of China, Nos. CSTB2022NSCQ-LZX0038, cstc2021ycjh-bgzxm0035 (both to XT); the National Natural Science Foundation of China, No. 82001378 (to XT); the Joint Project of Chongqing Health Commission and Science and Technology Bureau, No. 2023QNXM009 (to XT); the Science and Technology Research Program of Chongqing Education Commission of China, No. KJQN202200435 (to XT); the Chongqing Talents: Exceptional Young Talents Project, No. CQYC202005014 (to XT)