已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Network coupling and surgical treatment response in temporal lobe epilepsy: A proof-of-concept study

立体脑电图 发作性 癫痫 癫痫外科 颞叶 连接体 连接组学 神经科学 雅卡索引 光环 心理学 脑电图 联轴节(管道) 医学 麻醉 认知心理学 功能连接 模式识别(心理学) 机械工程 偏头痛 工程类
作者
Allen J. Chang,Rebecca Roth,Ruxue Gong,Robert E. Gross,Irene E. Harmsen,Alexandra Parashos,Andrew Y. Revell,Kathryn A. Davis,Leonardo Bonilha,Ezequiel Gleichgerrcht
出处
期刊:Epilepsy & Behavior [Elsevier BV]
卷期号:149: 109503-109503 被引量:1
标识
DOI:10.1016/j.yebeh.2023.109503
摘要

Objective This proof-of-concept study aimed to examine the overlap between structural and functional activity (coupling) related to surgical response. Methods We studied intracranial rest and ictal stereoelectroencephalography (sEEG) recordings from 77 seizures in thirteen participants with temporal lobe epilepsy (TLE) who subsequently underwent resective/laser ablation surgery. We used the stereotactic coordinates of electrodes to construct functional (sEEG electrodes) and structural connectomes (diffusion tensor imaging). A Jaccard index was used to assess the similarity (coupling) between structural and functional connectivity at rest and at various intraictal timepoints. Results We observed that patients who did not become seizure free after surgery had higher connectome coupling recruitment than responders at rest and during early and mid seizure (and visa versa). Significance Structural networks provide a backbone for functional activity in TLE. The association between lack of seizure control after surgery and the strength of synchrony between these networks suggests that surgical intervention aimed to disrupt these networks may be ineffective in those that display strong synchrony. Our results, combined with findings of other groups, suggest a potential mechanism that explains why certain patients benefit from epilepsy surgery and why others do not. This insight has the potential to guide surgical planning (e.g., removal of high coupling nodes) following future research.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lu完成签到 ,获得积分10
1秒前
1秒前
tender发布了新的文献求助10
3秒前
田雨弘完成签到 ,获得积分10
4秒前
研友_VZG7GZ应助lemon采纳,获得10
4秒前
DIQIU发布了新的文献求助30
6秒前
超帅秋双发布了新的文献求助10
7秒前
初景发布了新的文献求助10
7秒前
矮小的向雪完成签到 ,获得积分10
7秒前
7秒前
默默的板栗完成签到 ,获得积分10
7秒前
8秒前
Siriya发布了新的文献求助10
9秒前
科研通AI6.4应助马戈采纳,获得10
10秒前
11秒前
lulu发布了新的文献求助10
12秒前
loii应助小七采纳,获得10
12秒前
13秒前
Happy完成签到 ,获得积分10
14秒前
CipherSage应助mumumuzzz采纳,获得10
15秒前
15秒前
15秒前
可爱的函函应助陈峙锦采纳,获得10
16秒前
20秒前
20秒前
霖晚完成签到 ,获得积分10
20秒前
李健应助Siriya采纳,获得10
22秒前
张宁宁发布了新的文献求助10
23秒前
CC完成签到 ,获得积分10
25秒前
乐乐应助强健的面包采纳,获得10
25秒前
乐乐应助lulu采纳,获得10
30秒前
30秒前
32秒前
33秒前
33秒前
皮卡pika发布了新的文献求助10
35秒前
Nora完成签到 ,获得积分10
37秒前
123发布了新的文献求助10
38秒前
38秒前
夏飞飞完成签到,获得积分10
38秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7625787
求助须知:如何正确求助?哪些是违规求助? 9200759
关于积分的说明 19726942
捐赠科研通 7196759
什么是DOI,文献DOI怎么找? 3273745
关于科研通互助平台的介绍 2435936
邀请新用户注册赠送积分活动 2269673