• 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

发作产生:节点和网络的作用。

Seizure generation: the role of nodes and networks.

机构信息

College of Engineering, Mathematics & Physical Sciences, University of Exeter, Exeter, United Kingdom.

出版信息

Epilepsia. 2012 Sep;53(9):e166-9. doi: 10.1111/j.1528-1167.2012.03560.x. Epub 2012 Jun 18.

DOI:10.1111/j.1528-1167.2012.03560.x
PMID:22709380
Abstract

The longstanding dichotomy between the concepts of "focal" and "primary generalized" epilepsy has become increasingly blurred, raising fundamental questions about the nature of ictal onset in localized brain regions versus large-scale brain networks. We hypothesize that whether an EEG discharge appears focal or generalized is driven by the pattern of connections in brain networks, irrespective of the presence of focal brain abnormality. Using a computational model of a simple "brain" consisting of four regions and the connections between them, we explored the effects of altering connectivity structure versus the effects of introducing an "abnormal" brain region, and the interactions between these factors. Computer simulations demonstrated that electroencephalography (EEG) discharges representing either generalized or focal seizures arose purely as a consequence of subtle changes in network structure, without the requirement for any localized pathologic brain region. Furthermore we found that introducing a pathologic region gave rise to focal, secondary generalized, or primary generalized seizures depending on the network structure. Counterintuitively, we found that decreasing connectivity between regions of the brain increased the frequency of seizure-like activity. Our findings may enlighten current controversies surrounding the concepts of focal and generalized epilepsy, and help to explain recent observations in genetic animal models and human epilepsies, where loss of white matter pathways was associated with the occurrence of seizures.

摘要

长久以来,“局灶性”和“全面性”癫痫之间的二分法变得越来越模糊,这引发了关于局部脑区与大规模脑网络之间发作起始本质的基本问题。我们假设,脑电图放电是局灶性还是全面性,是由脑网络中的连接模式决定的,而与局灶性脑异常的存在无关。我们使用一个由四个区域及其连接组成的简单“大脑”的计算模型,探索了改变连接结构与引入“异常”脑区的影响,以及这些因素之间的相互作用。计算机模拟表明,代表全面性或局灶性发作的脑电图放电纯粹是由于网络结构的细微变化而产生的,而不需要任何局灶性病理脑区。此外,我们发现,引入病理性区域会导致局灶性、继发性全面性或原发性全面性发作,这取决于网络结构。反直觉的是,我们发现减少脑区之间的连接会增加类似癫痫发作的活动频率。我们的发现可能会阐明当前围绕局灶性和全面性癫痫概念的争议,并有助于解释遗传动物模型和人类癫痫中最近的观察结果,其中白质通路的缺失与癫痫发作的发生有关。

相似文献

1
Seizure generation: the role of nodes and networks.发作产生:节点和网络的作用。
Epilepsia. 2012 Sep;53(9):e166-9. doi: 10.1111/j.1528-1167.2012.03560.x. Epub 2012 Jun 18.
2
Epileptogenic networks of type II focal cortical dysplasia: a stereo-EEG study.II 型局灶性皮质发育不良的致痫网络:一项立体脑电图研究。
Neuroimage. 2012 Jul 2;61(3):591-8. doi: 10.1016/j.neuroimage.2012.03.090. Epub 2012 Apr 6.
3
Does semiology tell us the origin of seizures consisting mainly of an alteration in consciousness?半影征是否能告诉我们主要表现为意识改变的癫痫发作的起源?
Epilepsia. 2011 Aug;52(8):1459-66. doi: 10.1111/j.1528-1167.2011.03126.x. Epub 2011 Jun 10.
4
Emergent network topology at seizure onset in humans.人类癫痫发作起始时的紧急网络拓扑结构。
Epilepsy Res. 2008 May;79(2-3):173-86. doi: 10.1016/j.eplepsyres.2008.02.002. Epub 2008 Mar 24.
5
Video-EEG evidence of lateralized clinical features in primary generalized epilepsy with tonic-clonic seizures.伴有强直阵挛发作的原发性全身性癫痫中临床特征偏侧化的视频脑电图证据。
Epileptic Disord. 2003 Sep;5(3):149-56.
6
Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy.特发性全面性癫痫的大脑网络大尺度功能-结构连接改变。
Brain. 2011 Oct;134(Pt 10):2912-28. doi: 10.1093/brain/awr223.
7
Idiopathic generalized epilepsies imitating focal epilepsies.模仿局灶性癫痫的特发性全身性癫痫
Epilepsia. 2005;46 Suppl 9:91-5. doi: 10.1111/j.1528-1167.2005.00319.x.
8
Clinical and EEG features of seizures in adults with down syndrome.唐氏综合征成人癫痫的临床和脑电图特征。
J Clin Neurophysiol. 2011 Oct;28(5):469-73. doi: 10.1097/WNP.0b013e318230da76.
9
Epilepsy syndromes undetermined whether focal or generalized in infants.婴儿癫痫综合征,局灶性或全身性未明确。
Epilepsy Res. 2006 Aug;70 Suppl 1:S105-9. doi: 10.1016/j.eplepsyres.2005.11.013. Epub 2006 Jul 11.
10
Ictal EEG in patients with convulsions with mild gastroenteritis.患有轻度肠胃炎惊厥患者的发作期脑电图
Brain Dev. 2007 Jan;29(1):43-6. doi: 10.1016/j.braindev.2006.06.002. Epub 2006 Aug 17.

引用本文的文献

1
A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG.一种基于人类癫痫患者脑电图复发率方差识别癫痫动态轨迹的非线性方法。
J Med Signals Sens. 2025 Jul 10;15:19. doi: 10.4103/jmss.jmss_73_24. eCollection 2025.
2
Decreased Structural Connectivity Between Thalamic Nuclei and Hippocampus in Temporal Lobe Epilepsy-A Diffusion Tensor Imaging-Based Study.基于扩散张量成像的颞叶癫痫患者丘脑核与海马之间结构连接性降低的研究
Eur J Neurol. 2025 Jan;32(1):e70040. doi: 10.1111/ene.70040.
3
Propagation of transient explosive synchronization in a mesoscale mouse brain network model of epilepsy.
癫痫中尺度小鼠脑网络模型中瞬态爆发性同步的传播
Netw Neurosci. 2024 Oct 1;8(3):883-901. doi: 10.1162/netn_a_00379. eCollection 2024.
4
Characterizing white matter connectome abnormalities in patients with temporal lobe epilepsy using threshold-free network-based statistics.采用无阈值网络为基础的统计学方法对颞叶癫痫患者的脑白质连接组异常进行特征描述。
Brain Behav. 2024 Aug;14(8):e3643. doi: 10.1002/brb3.3643.
5
Treatment effects in epilepsy: a mathematical framework for understanding response over time.癫痫的治疗效果:一个用于理解随时间变化的反应的数学框架。
Front Netw Physiol. 2024 Jun 26;4:1308501. doi: 10.3389/fnetp.2024.1308501. eCollection 2024.
6
Efficacy and Safety of Pulse Intravenous Methylprednisolone in Pediatric Epileptic Encephalopathies: Timing and Networks Consideration.脉冲静脉注射甲基强的松龙治疗小儿癫痫性脑病的疗效与安全性:时机与网络因素考量
J Clin Med. 2024 Apr 24;13(9):2497. doi: 10.3390/jcm13092497.
7
Bihemispheric Seizure Without Generalization.双侧半球发作且无泛化
Neurohospitalist. 2024 Apr;14(2):220-221. doi: 10.1177/19418744231210038. Epub 2023 Nov 5.
8
High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.高频振荡网络动力学可预测非姑息性癫痫手术的结果。
Brain Commun. 2024 Feb 7;6(1):fcae032. doi: 10.1093/braincomms/fcae032. eCollection 2024.
9
Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications.深度学习区分局灶性癫痫患者和对照组的脑连接组:可行性及临床意义。
Brain Commun. 2023 Oct 31;5(6):fcad294. doi: 10.1093/braincomms/fcad294. eCollection 2023.
10
Circadian distribution of epileptiform discharges in epilepsy: Candidate mechanisms of variability.癫痫发作的昼夜分布:变异性的候选机制。
PLoS Comput Biol. 2023 Oct 5;19(10):e1010508. doi: 10.1371/journal.pcbi.1010508. eCollection 2023 Oct.