Does seizure propagate within or across intrinsic brain networks? An intracranial EEG study

发作性 立体脑电图 脑电图 癫痫 相关性 神经科学 颞叶 神经病理学 心理学 医学 内科学 数学 几何学 疾病
作者
Zhihao Guo,Jianguo Zhang,Wenhan Hu,Xiu Wang,Baotian Zhao,Kai Zhang,Chao Zhang
出处
期刊:Neurobiology of Disease [Elsevier BV]
卷期号:184: 106220-106220 被引量:1
标识
DOI:10.1016/j.nbd.2023.106220
摘要

Understanding the spatiotemporal propagation profiles of seizures is crucial for the preoperative assessment of epilepsy patients. The present study aimed to investigate whether seizures exhibit propagation patterns that align with intrinsic networks (INs).A quantitative analysis was conducted to examine ictal fast activity (IFA). The Epileptogenicity Index (EI) was employed to assess the epileptogenicity, spectral features, and temporal characteristics of IFA. Intra-network and inter-network comparisons were made regarding the IFA-related metrics. Additionally, the metrics were correlated with Euclidean distance. Network connection maps were generated to visualize seizures originating from different INs, allowing for comparisons between distinct groups.Data for 81 seizures in 43 subjects were captured using stereoelectroencephalography implantation. Three metrics were compared: EI, time involvement (TI), and energy ratio index (ERI). Intra-network channels exhibited higher EI, earlier involvement of IFA, and stronger high-frequency energy. These findings were further validated through subgroup analyses stratified by neuropathology, seizure type, and seizure origination lobe. Correlation analyses revealed a negative association between distance and both EI and ERI, while distance exhibited a positive correlation with TI. Seizures originating from different INs exhibited varying propagation characteristics.The study findings highlight the dominant role of intra-network dynamics over inter-network during seizure propagation. These results contribute to our understanding of seizure dynamics and their relationship with INs.

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
2秒前
思归发布了新的文献求助10
3秒前
虚心的乘云完成签到,获得积分10
4秒前
无极微光应助吞金采纳,获得20
6秒前
阳光访波完成签到,获得积分10
6秒前
7秒前
科研小白完成签到,获得积分10
7秒前
yyy完成签到,获得积分10
7秒前
kk完成签到 ,获得积分10
8秒前
feiyafei发布了新的文献求助10
8秒前
10秒前
wyx完成签到,获得积分10
10秒前
nn完成签到 ,获得积分10
10秒前
HYun完成签到 ,获得积分10
10秒前
HH完成签到 ,获得积分10
11秒前
孙瑞发布了新的文献求助10
11秒前
11秒前
Gavin啥也不会完成签到,获得积分10
12秒前
jiaheyuan发布了新的文献求助10
12秒前
细腻初雪完成签到,获得积分10
14秒前
从容水蓝发布了新的文献求助10
14秒前
南岸南瓜发布了新的文献求助10
14秒前
椰汁完成签到 ,获得积分10
15秒前
梦城一夏发布了新的文献求助10
16秒前
顾矜应助囧素囧采纳,获得10
16秒前
无限的依玉完成签到,获得积分20
17秒前
17秒前
明理的冰菱完成签到,获得积分10
17秒前
小黑之家完成签到,获得积分10
17秒前
leozhang完成签到,获得积分10
17秒前
乐意李发布了新的文献求助10
18秒前
思归完成签到,获得积分10
18秒前
897102完成签到,获得积分10
18秒前
galvin应助JiadePeng采纳,获得10
18秒前
18秒前
炙热乌冬面完成签到 ,获得积分20
19秒前
gingertea完成签到,获得积分10
19秒前
chao2333发布了新的文献求助200
19秒前
陈陈完成签到 ,获得积分10
20秒前
20秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 1200
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6488708
求助须知:如何正确求助?哪些是违规求助? 8287113
关于积分的说明 17679152
捐赠科研通 5578376
什么是DOI,文献DOI怎么找? 2914120
邀请新用户注册赠送积分活动 1891160
关于科研通互助平台的介绍 1748664