相关实验视频

Updated: Jul 7, 2025

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

在额外叶中发性网络

Gerard R Hall¹, Frances Hutchings¹, Jonathan Horsley¹

¹CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.

Network neuroscience (Cambridge, Mass.)

|December 25, 2023

概括

额外叶 (eTLE) 涉及复杂的大脑网络. 在焦点 (切除区域) 附近的异常结构连接与更广泛的网络问题和手术后减少自由度相关.

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:

额外叶 (eTLE) 通常与广泛的脑网络功能障碍有关.
了解发性区域的结构连接对于预测外科手术结果至关重要.

研究的目的:

研究eTLE患者的结构网络,重点关注切除区域 (RZ) 作为关键节点.
确定异常连接到/从RZ与拓近距离和术后控制是否相关.

主要方法:

利用了22名ETLE患者和29名健康对照组的结构和扩散MRI数据.
测量结构连接性使用通用分数异构 (gFA) 来识别异常连接 (z < -1.96).
分析了异常RZ连接,拓距离和结局之间的关系.

主要成果:

患有异常连接到/来自RZ的患者在RZ附近呈现出更多异常.
少数无发作患者 (3/11) 有异常连接,而大多数无发作患者 (8/11).
与RZ的异常结构连接与手术后发作自由的可能性降低有关.

结论:

eTLE涉及复杂的结构性网络异常,以切除区域为中心.
与RZ的拓距离影响了ETLE网络功能障碍的程度.
确定与RZ的异常结构连接可以帮助预测ETLE患者的手术成功.

关键词:

在Connectome中使用Connectome.扩散式核磁共振成像 (MRI)发性区域是一个发性区域.额外叶额外叶网络网络网络网络网络网络切除切除切除切除发作发作发作结构性的连接性结构性的连接性曲谱学曲谱学曲谱学曲谱学

更多相关视频

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

Multi-electrode Array Recordings of Human Epileptic Postoperative Cortical Tissue

Multi-electrode Array Recordings of Human Epileptic Postoperative Cortical Tissue

Published on: October 26, 2014

相关概念视频

Arteries of the Lower Limbs

Arteries of the Lower Limbs

Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...

Seizures: Classification

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types: