• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Permittivity coupling across brain regions determines seizure recruitment in partial epilepsy.跨脑区的电容耦合决定了部分性癫痫发作的招募情况。
J Neurosci. 2014 Nov 5;34(45):15009-21. doi: 10.1523/JNEUROSCI.1570-14.2014.
2
Correlating Resting-State Functional Magnetic Resonance Imaging Connectivity by Independent Component Analysis-Based Epileptogenic Zones with Intracranial Electroencephalogram Localized Seizure Onset Zones and Surgical Outcomes in Prospective Pediatric Intractable Epilepsy Study.基于独立成分分析的致痫区与颅内脑电图定位发作起始区的静息态功能磁共振成像连接相关性及其在前瞻性儿科难治性癫痫研究中的手术结果。
Brain Connect. 2017 Sep;7(7):424-442. doi: 10.1089/brain.2016.0479.
3
Beyond the lesion: the epileptogenic networks around cavernous angiomas.超越病变:海绵状血管畸形周围的致痫网络。
Epilepsy Res. 2014 May;108(4):701-8. doi: 10.1016/j.eplepsyres.2014.02.018. Epub 2014 Mar 12.
4
Resting-State SEEG May Help Localize Epileptogenic Brain Regions.静息态 SEEG 有助于癫痫灶脑区定位。
Neurosurgery. 2020 Jun 1;86(6):792-801. doi: 10.1093/neuros/nyz351.
5
Modification of brain conductivity in human focal epilepsy: A model-based estimation from stereoelectroencephalography.人脑局灶性癫痫的脑导率改变:基于立体脑电图的模型估计。
Epilepsia. 2024 Jun;65(6):1744-1755. doi: 10.1111/epi.17957. Epub 2024 Mar 16.
6
Localization of the epileptogenic zone based on ictal stereo-electroencephalogram: Brain network and single-channel signal feature analysis.基于发作期立体脑电图的致痫灶定位:脑网络和单通道信号特征分析。
Epilepsy Res. 2020 Nov;167:106475. doi: 10.1016/j.eplepsyres.2020.106475. Epub 2020 Sep 22.
7
Controlling seizure propagation in large-scale brain networks.控制大规模脑网络中的癫痫发作传播。
PLoS Comput Biol. 2019 Feb 25;15(2):e1006805. doi: 10.1371/journal.pcbi.1006805. eCollection 2019 Feb.
8
Comparing spiking and slow wave activity from invasive electroencephalography in patients with and without seizures.比较癫痫患者和非癫痫患者的侵入性脑电图中的尖峰和慢波活动。
Clin Neurophysiol. 2018 May;129(5):909-919. doi: 10.1016/j.clinph.2018.02.006. Epub 2018 Feb 27.
9
Transient seizure onset network for localization of epileptogenic zone: effective connectivity and graph theory-based analyses of ECoG data in temporal lobe epilepsy.短暂性发作起始网络用于致痫灶定位:基于 ECoG 数据的有效连通性和图论分析在颞叶癫痫中的应用。
J Neurol. 2019 Apr;266(4):844-859. doi: 10.1007/s00415-019-09204-4. Epub 2019 Jan 25.
10
Defining epileptogenic networks: Contribution of SEEG and signal analysis.定义致痫网络:SEEG 和信号分析的贡献。
Epilepsia. 2017 Jul;58(7):1131-1147. doi: 10.1111/epi.13791. Epub 2017 May 20.

引用本文的文献

1
Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks.虚拟癫痫患者空间分辨率对致痫网络识别的影响。
Imaging Neurosci (Camb). 2024 May 8;2. doi: 10.1162/imag_a_00153. eCollection 2024.
2
H- and m-channel overexpression promotes seizure-like events by impairing the ability of inhibitory neurons to process correlated inputs.H通道和m通道的过表达通过损害抑制性神经元处理相关输入的能力来促进癫痫样发作。
PLoS Comput Biol. 2025 Jun 30;21(6):e1013199. doi: 10.1371/journal.pcbi.1013199. eCollection 2025 Jun.
3
Controllability of nonlinear epileptic-seizure spreading dynamics in large-scale subject-specific brain networks.大规模个体特异性脑网络中非线性癫痫发作传播动力学的可控性
Sci Rep. 2025 Feb 22;15(1):6467. doi: 10.1038/s41598-025-90632-w.
4
Brain sodium MRI-derived priors support the estimation of epileptogenic zones using personalized model-based methods in epilepsy.基于脑钠MRI得出的先验信息有助于在癫痫中使用基于个性化模型的方法来估计致痫区。
Netw Neurosci. 2024 Oct 1;8(3):673-696. doi: 10.1162/netn_a_00371. eCollection 2024.
5
Predicting radiofrequency thermocoagulation surgical outcomes in refractory focal epilepsy patients using functional coupled neural mass model.使用功能耦合神经团模型预测难治性局灶性癫痫患者的射频热凝手术结果。
Front Neurol. 2024 Aug 23;15:1402004. doi: 10.3389/fneur.2024.1402004. eCollection 2024.
6
Recent Progress in Brain Network Models for Medical Applications: A Review.用于医学应用的脑网络模型的最新进展:综述
Health Data Sci. 2024 Jul 8;4:0157. doi: 10.34133/hds.0157. eCollection 2024.
7
Individualized epidemic spreading models predict epilepsy surgery outcomes: A pseudo-prospective study.个性化的流行病传播模型预测癫痫手术结果:一项伪前瞻性研究。
Netw Neurosci. 2024 Jul 1;8(2):437-465. doi: 10.1162/netn_a_00361. eCollection 2024.
8
An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control.一项对小鼠大脑网络中广泛癫痫发作起始位置的探索性计算分析,以及有效干预和传播控制的潜在策略。
Front Comput Neurosci. 2024 Feb 26;18:1360009. doi: 10.3389/fncom.2024.1360009. eCollection 2024.
9
Bifurcations and bursting in the Epileptor.癫痫器中的分岔与突发
PLoS Comput Biol. 2024 Mar 6;20(3):e1011903. doi: 10.1371/journal.pcbi.1011903. eCollection 2024 Mar.
10
Epileptic seizure suppression: A computational approach for identification and control using real data.癫痫发作抑制:使用真实数据进行识别和控制的计算方法。
PLoS One. 2024 Feb 28;19(2):e0298762. doi: 10.1371/journal.pone.0298762. eCollection 2024.

本文引用的文献

1
On the nature of seizure dynamics.关于癫痫发作动力学的本质。
Brain. 2014 Aug;137(Pt 8):2210-30. doi: 10.1093/brain/awu133. Epub 2014 Jun 11.
2
Frontal lobe seizures: from clinical semiology to localization.额叶癫痫:从临床症状学到定位。
Epilepsia. 2014 Feb;55(2):264-77. doi: 10.1111/epi.12490. Epub 2013 Dec 24.
3
Mechanisms of seizure propagation in 2-dimensional centre-surround recurrent networks.二维中心-环绕反馈网络中癫痫传播的机制。
PLoS One. 2013 Aug 13;8(8):e71369. doi: 10.1371/journal.pone.0071369. eCollection 2013.
4
Proposing a two-level stochastic model for epileptic seizure genesis.提出一种用于癫痫发作起源的两级随机模型。
J Comput Neurosci. 2014 Feb;36(1):39-53. doi: 10.1007/s10827-013-0457-5. Epub 2013 Jun 4.
5
Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study.耐药性癫痫患者的长期植入式癫痫预警系统预测癫痫发作的可能性:首例人体研究。
Lancet Neurol. 2013 Jun;12(6):563-71. doi: 10.1016/S1474-4422(13)70075-9. Epub 2013 May 2.
6
Human seizures self-terminate across spatial scales via a critical transition.人类癫痫发作通过临界跃迁在空间尺度上自行终止。
Proc Natl Acad Sci U S A. 2012 Dec 18;109(51):21116-21. doi: 10.1073/pnas.1210047110. Epub 2012 Dec 4.
7
Towards a large-scale model of patient-specific epileptic spike-wave discharges.迈向患者特异性癫痫棘波-慢波放电的大规模模型。
Biol Cybern. 2013 Feb;107(1):83-94. doi: 10.1007/s00422-012-0534-2. Epub 2012 Nov 7.
8
Phase space approach for modeling of epileptic dynamics.用于癫痫动力学建模的相空间方法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 1):061918. doi: 10.1103/PhysRevE.85.061918. Epub 2012 Jun 22.
9
Evidence of an inhibitory restraint of seizure activity in humans.人类癫痫活动抑制性约束的证据。
Nat Commun. 2012;3:1060. doi: 10.1038/ncomms2056.
10
Ongoing cortical activity at rest: criticality, multistability, and ghost attractors.静息状态下持续的皮质活动:临界性、多稳定性和幽灵吸引子。
J Neurosci. 2012 Mar 7;32(10):3366-75. doi: 10.1523/JNEUROSCI.2523-11.2012.

跨脑区的电容耦合决定了部分性癫痫发作的招募情况。

Permittivity coupling across brain regions determines seizure recruitment in partial epilepsy.

作者信息

Proix Timothée, Bartolomei Fabrice, Chauvel Patrick, Bernard Christophe, Jirsa Viktor K

机构信息

Aix Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France and INSERM, UMR 1106, 13005 Marseille, France and

Aix Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France and INSERM, UMR 1106, 13005 Marseille, France and Assistance Publique-Hôpitaux de Marseille, Hôpital de la Timone, Service de Neurophysiologie Clinique, CHU, 13005 Marseille, France.

出版信息

J Neurosci. 2014 Nov 5;34(45):15009-21. doi: 10.1523/JNEUROSCI.1570-14.2014.

DOI:10.1523/JNEUROSCI.1570-14.2014
PMID:25378166
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6608363/
Abstract

Brain regions generating seizures in patients with refractory partial epilepsy are referred to as the epileptogenic zone (EZ). During a seizure, paroxysmal activity is not restricted to the EZ, but may recruit other brain regions and propagate activity through large brain networks, which comprise brain regions that are not necessarily epileptogenic. The identification of the EZ is crucial for candidates for neurosurgery and requires unambiguous criteria that evaluate the degree of epileptogenicity of brain regions. To obtain such criteria and investigate the mechanisms of seizure recruitment and propagation, we develop a mathematical framework of coupled neural populations, which can interact via signaling through a slow permittivity variable. The permittivity variable captures effects evolving on slow timescales, including extracellular ionic concentrations and energy metabolism, with time delays of up to seconds as observed clinically. Our analyses provide a set of indices quantifying the degree of epileptogenicity and predict conditions, under which seizures propagate to nonepileptogenic brain regions, explaining the responses to intracerebral electric stimulation in epileptogenic and nonepileptogenic areas. In conjunction, our results provide guidance in the presurgical evaluation of epileptogenicity based on electrographic signatures in intracerebral electroencephalograms.

摘要

在难治性局灶性癫痫患者中产生癫痫发作的脑区被称为致痫区(EZ)。在癫痫发作期间,阵发性活动并不局限于致痫区,而是可能会累及其他脑区,并通过包括不一定是致痫性的脑区在内的大脑大网络传播活动。致痫区的识别对于神经外科手术候选者至关重要,并且需要明确的标准来评估脑区的致痫程度。为了获得这样的标准并研究癫痫发作募集和传播的机制,我们开发了一个耦合神经群体的数学框架,该框架可以通过一个缓慢的电容率变量进行信号传递来相互作用。电容率变量捕捉在缓慢时间尺度上演变的效应,包括细胞外离子浓度和能量代谢,具有临床上观察到的长达数秒的时间延迟。我们的分析提供了一组量化致痫程度的指标,并预测癫痫发作传播到非致痫性脑区的条件,解释了致痫区和非致痫区对脑内电刺激的反应。同时,我们的结果为基于脑内脑电图的电描记特征在术前评估致痫性方面提供了指导。