Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

Search research articles

相关实验视频

Updated: Jun 27, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

时间叶中改变的定向连接网络:一个MEG研究

Chen Zhang¹, Wenhan Hu², Yutong Wu¹

¹College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)

|March 17, 2025

概括

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

MRgLITT for hypothalamic hamartomas: surgical outcomes & divergent pathways for seizure prognosis.

Journal of advanced research·2026

Same author

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Magnetic resonance-guided laser interstitial thermal therapy for mesial temporal lobe epilepsy (MINE): a single-centre, prospective, randomised, open-label, blinded-endpoint controlled trial protocol in China.

BMJ open·2026

Same author

State of Health Estimation for Lithium-Ion Batteries via Fused Impedance Feature and V‑Transformer-AGLU Network.

ACS omega·2026

Same author

Real time prediction of instantaneous wave-free ratio based on lumped parameter and neural network models.

Computer methods and programs in biomedicine·2026

Same author

Sex differences in resting-state hypothalamic connectivity and its relationship with negative emotion and behavior measures in young adults.

Brain structure & function·2026

叶 (TLE) 是一种网络疾病. 对MEG数据的格兰杰因果分析 (GCA) 揭示了TLE患者的大脑连接的改变,这表明GCA.

科学领域:

神经科学是一个神经科学.
的研究研究.
大脑网络分析脑网络分析

背景情况:

(TLE) 越来越被理解为一种网络疾病,需要对其潜在的网络机制进行调查.
传统方法往往侧重于局部性病变,可能会忽视TLE中更广泛的网络变化.

研究的目的:

通过使用从磁脑摄影 (MEG) 数据中获得的定向大脑网络来研究TLE的网络机制.
为了比较格兰杰因果分析 (GCA) 与皮尔森相关系数 (PCC) 在TLE中的大脑网络构建.

主要方法:

使用GCA构建定向大脑网络,使用PCC从TLE患者和健康对照 (HC) 的MEG数据构建非定向网络.
应用图形理论分析来提取全球和本地网络拓.
使用支持矢量机 (SVM) 来分类网络差异.

主要成果:

与HCs相比,TLE患者基于GCA显著增加了功能连接性.
在左侧 (lTLE) 和右侧 (rTLE) TLE中确定了共同的枢纽大脑区域和皮质-边缘-胸膜-皮质循环.
在TLE患者中观察到基于GCA的全球聚类系数 (GCC) 和全球局部效率 (GLE) 的显著增加.

结论:

关键词:

在 GCA GCA 中.在MEGEG中,MEG是MEG.在SVM中,SVM是SVM.在TLE TLE中.定向连接的连接性是指向的图形理论分析图形理论分析

更多相关视频

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

相关实验视频

Last Updated: Jun 27, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

正如GCA所揭示的那样,大脑连接的方向性在TLE研究中起着至关重要的作用.
使用MEG数据,GCA显示出作为区分TLE患者和HC患者的有效工具的潜力.
在TLE中异常的局部拓性质往往与已识别的枢纽区域重叠.