Evaluation of connectivity measures to identify Seizure Onset and Propagation Zones in Refractory Epilepsy: A Case study with two different Post- Surgical Outcomes *

癫痫 计算机科学 估计员 相关性(法律) 癫痫外科 脑电图 心理学 神经科学 医学 物理医学与康复 统计 数学 政治学 法学
作者
E. Condominas,Carolina Migliorelli,Alejandro Bachiller,Javier Romano Aparicio,MV. San Antonio-Arce,Miguel Ángel Mañanas
标识
DOI:10.1109/embc40787.2023.10340078
摘要

High Frequency Oscillations (HFO) have been found very useful in refractory epilepsy. They have been used to identify the epileptogenic zone and as a promising clinical biomarker for presurgical evaluation in childhood epilepsy. There is controversy about whether there is a spread of HFOs and their propagation. Some researchers reinforce the idea of dealing with epilepsy as a network disorder, so the fact of propagation can promote this research. The hypothesis of this study is that connectivity methods can be useful to detect the seizure onset and propagation zones. Methodology has been applied to two cases where the clinical outcomes after surgery were free of seizures and not free. Promising results were obtained to understand both situations. A future study with more cases is necessary to obtain strong conclusions.Clinical Relevance- This exploratory study shows the relationship between connectivity measures and the propagation of HFOs and this can be useful to know the epileptogenic function of these waves that, nowadays, are unknown. Connectivity features in conjunction with other multivariate estimators can be a tool to help in identifying the regions of interest in refractory epilepsy.

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
江xy发布了新的文献求助10
1秒前
whl发布了新的文献求助10
2秒前
李健应助风中的赛凤采纳,获得10
3秒前
huhdcid完成签到,获得积分10
3秒前
6秒前
6秒前
打你完成签到,获得积分10
7秒前
李爱国应助成功的院士采纳,获得10
7秒前
8秒前
RR发布了新的文献求助10
8秒前
jasonwu2024完成签到,获得积分10
9秒前
汉堡包应助111采纳,获得10
11秒前
Ava应助齐小安采纳,获得10
11秒前
腼腆的雪珊完成签到,获得积分10
12秒前
pancake发布了新的文献求助20
12秒前
刘佳辉完成签到,获得积分20
13秒前
13秒前
13秒前
13秒前
kyo发布了新的文献求助10
15秒前
16秒前
磊磊磊发布了新的文献求助10
16秒前
17秒前
17秒前
18秒前
坚定晓兰应助科研通管家采纳,获得10
18秒前
李爱国应助科研通管家采纳,获得10
18秒前
18秒前
脑洞疼应助科研通管家采纳,获得10
18秒前
cdercder应助科研通管家采纳,获得10
18秒前
cdercder应助科研通管家采纳,获得10
18秒前
19秒前
刘佳辉发布了新的文献求助10
19秒前
今后应助科研通管家采纳,获得10
19秒前
19秒前
19秒前
molihuakai应助科研通管家采纳,获得10
19秒前
ding应助科研通管家采纳,获得10
19秒前
充电宝应助科研通管家采纳,获得10
20秒前
张欢馨应助科研通管家采纳,获得10
20秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583552
求助须知:如何正确求助?哪些是违规求助? 9162285
关于积分的说明 19606612
捐赠科研通 7165597
什么是DOI,文献DOI怎么找? 3266296
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257764