• 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

异常的间发性γ活动可能在颞叶癫痫中表现出发作起始区。

Abnormal interictal gamma activity may manifest a seizure onset zone in temporal lobe epilepsy.

机构信息

Center for Functional and Molecular Imaging, Department of Neurology Georgetown University, 3900 Reservoir Road, NW, Washington, DC 20057-1488, USA.

出版信息

Int J Neural Syst. 2011 Apr;21(2):103-14. doi: 10.1142/S0129065711002699.

DOI:10.1142/S0129065711002699
PMID:21442774
Abstract

Even though recent studies have suggested that seizures do not occur suddenly and that before a seizure there is a period with an increased probability of seizure occurrence, neurophysiological mechanisms of interictal and pre-seizure states are unknown. The ability of mathematical methods to provide much more sensitive tools for the detection of subtle changes in the electrical activity of the brain gives promise that electrophysiological markers of enhanced seizure susceptibility can be found even during interictal periods when EEG of epilepsy patients often looks 'normal'. Previously, we demonstrated in animals that hippocampal and neocortical gamma-band rhythms (30-100 Hz) intensify long before seizures caused by systemic infusion of kainic acid. Other studies in recent years have also drawn attention to the fast activity (>30 Hz) as a possible marker of epileptogenic tissue. The current study quantified gamma-band activity during interictal periods and seizures in intracranial EEG (iEEG) in 5 patients implanted with subdural grids/intracranial electrodes during their pre-surgical evaluation. In all our patients, we found distinctive (abnormal) bursts of gamma activity with a 3 to 100 fold increase in power at gamma frequencies with respect to selected by clinicians, quiescent, artifact-free, 7-20 min "normal" background (interictal) iEEG epochs 1 to 14 hours prior to seizures. Increases in gamma activity were largest in those channels which later displayed the most intensive electrographic seizure discharges. Moreover, location of gamma-band bursts correlated (with high specificity, 96.4% and sensitivity, 83.8%) with seizure onset zone (SOZ) determined by clinicians. Spatial localization of interictal gamma rhythms within SOZ suggests that the persistent presence of abnormally intensified gamma rhythms in the EEG may be an important tool for focus localization and possibly a determinant of epileptogenesis.

摘要

尽管最近的研究表明癫痫发作不会突然发生,并且在癫痫发作前有一个癫痫发作发生概率增加的时期,但癫痫发作间期和发作前状态的神经生理机制尚不清楚。数学方法的能力为检测大脑电活动的细微变化提供了更敏感的工具,这使得即使在癫痫患者的脑电图在癫痫发作间期通常看起来“正常”的情况下,也有可能找到增强癫痫易感性的电生理标志物。以前,我们在动物中证明,在系统性注射海人酸引起癫痫发作之前,海马和新皮层的γ波段节律(30-100 Hz)就会强烈增强。近年来的其他研究也引起了对快速活动(>30 Hz)作为致痫组织可能标志物的关注。目前的研究在 5 名接受颅内脑电图(iEEG)植入的患者中,对癫痫发作间期和癫痫发作期间的γ波段活动进行了量化,这些患者在手术前评估期间植入了硬膜下网格/颅内电极。在我们所有的患者中,我们发现了独特的(异常)γ活动爆发,与由临床医生选择的、静止的、无伪影的、7-20 分钟的“正常”背景(癫痫发作间期)iEEG 时段相比,γ频率的功率增加了 3 到 100 倍。在这些通道中,γ活动的增加最大,这些通道后来显示出最强烈的脑电图癫痫发作放电。此外,γ波段爆发的位置与临床医生确定的癫痫发作起始区(SOZ)相关(特异性为 96.4%,敏感性为 83.8%)。SOZ 内癫痫发作间期γ节律的空间定位表明,脑电图中异常增强的γ节律的持续存在可能是焦点定位的重要工具,并且可能是癫痫发生的决定因素。

相似文献

1
Abnormal interictal gamma activity may manifest a seizure onset zone in temporal lobe epilepsy.异常的间发性γ活动可能在颞叶癫痫中表现出发作起始区。
Int J Neural Syst. 2011 Apr;21(2):103-14. doi: 10.1142/S0129065711002699.
2
Gamma oscillations precede interictal epileptiform spikes in the seizure onset zone.γ振荡先于癫痫发作起始区的发作间期癫痫样棘波出现。
Neurology. 2015 Feb 10;84(6):602-8. doi: 10.1212/WNL.0000000000001234. Epub 2015 Jan 14.
3
Factors contributing to the yield of asymmetric bilateral implantation of intracranial electrodes.影响颅内电极不对称双侧植入成功率的因素。
Epilepsia. 2014 Oct;55(10):1620-5. doi: 10.1111/epi.12766. Epub 2014 Sep 5.
4
Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy.颅内电极记录的癫痫患者大于 200Hz 的发作间期振荡的定位。
Brain. 2010 Jan;133(Pt 1):33-45. doi: 10.1093/brain/awp277. Epub 2009 Nov 17.
5
The impact of cerebral source area and synchrony on recording scalp electroencephalography ictal patterns.脑源区和同步性对头皮脑电图发作期模式记录的影响。
Epilepsia. 2007 Nov;48(11):2167-76. doi: 10.1111/j.1528-1167.2007.01224.x. Epub 2007 Jul 28.
6
Automated Seizure Onset Zone Approximation Based on Nonharmonic High-Frequency Oscillations in Human Interictal Intracranial EEGs.基于人类发作间期颅内脑电图中非谐波高频振荡的自动癫痫发作起始区近似法
Int J Neural Syst. 2015 Aug;25(5):1550015. doi: 10.1142/S012906571550015X. Epub 2015 Mar 10.
7
Subdural EEG classification into seizure and nonseizure files using neural networks in the gamma frequency band.使用伽马频带中的神经网络对硬膜下 EEG 进行癫痫发作和非癫痫发作文件分类。
J Clin Neurophysiol. 2011 Feb;28(1):20-9. doi: 10.1097/WNP.0b013e31820512ee.
8
Intracranial EEG seizure onset patterns in unilateral temporal lobe epilepsy and their relationship to other variables.单侧颞叶癫痫的颅内 EEG 发作起始模式及其与其他变量的关系。
Clin Neurophysiol. 2013 Jun;124(6):1079-88. doi: 10.1016/j.clinph.2012.12.046. Epub 2013 Feb 13.
9
Epileptogenic neocortical networks are revealed by abnormal temporal dynamics in seizure-free subdural EEG.无癫痫发作的硬膜下脑电图中的异常时间动态揭示了致痫性新皮质网络。
Cereb Cortex. 2007 Jun;17(6):1386-93. doi: 10.1093/cercor/bhl049. Epub 2006 Aug 14.
10
Magnetoencephalography-directed surgery in patients with neocortical epilepsy.新皮质癫痫患者的脑磁图引导手术
J Neurosurg. 2002 Oct;97(4):865-73. doi: 10.3171/jns.2002.97.4.0865.

引用本文的文献

1
The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network.使用深度学习网络通过功率对功率交叉频率耦合分析对失神发作进行分类。
Front Neuroinform. 2025 Feb 10;19:1513661. doi: 10.3389/fninf.2025.1513661. eCollection 2025.
2
Resting state EEG in young children with Tuberous Sclerosis Complex: associations with medications and seizures.结节性硬化症幼儿的静息态脑电图:与药物治疗和癫痫发作的关联
J Neurodev Disord. 2025 Jan 18;17(1):2. doi: 10.1186/s11689-025-09590-z.
3
The detection of absence seizures using cross-frequency coupling analysis with a deep learning network.
使用深度学习网络通过交叉频率耦合分析检测失神发作
Res Sq. 2024 Apr 10:rs.3.rs-4178484. doi: 10.21203/rs.3.rs-4178484/v1.
4
Utilizing Excitatory and Inhibitory Activity Derived from Interictal Intracranial Electroencephalography as Potential Biomarkers for Epileptogenicity.利用发作间期颅内脑电图的兴奋性和抑制性活动作为致痫性的潜在生物标志物。
Neurol Med Chir (Tokyo). 2024 Feb 15;64(2):65-70. doi: 10.2176/jns-nmc.2023-0207. Epub 2024 Jan 15.
5
Interictal localization of the epileptogenic zone: Utilizing the observed resonance behavior in the spectral band of surrounding inhibition.癫痫发作间期致痫区的定位:利用在周围抑制频谱带中观察到的共振行为。
Front Neurosci. 2022 Dec 12;16:993678. doi: 10.3389/fnins.2022.993678. eCollection 2022.
6
Interictal Gamma Event Connectivity Differentiates the Seizure Network and Outcome in Patients after Temporal Lobe Epilepsy Surgery.间期伽马事件连接性区分颞叶癫痫手术后患者的癫痫网络和结果。
eNeuro. 2022 Dec 19;9(6). doi: 10.1523/ENEURO.0141-22.2022. Print 2022 Nov-Dec.
7
Source-sink connectivity: a novel interictal EEG marker for seizure localization.源-汇连通性:一种新的癫痫发作定位的间期 EEG 标志物。
Brain. 2022 Nov 21;145(11):3901-3915. doi: 10.1093/brain/awac300.
8
Modeling genetic epileptic encephalopathies using brain organoids.利用脑类器官模型研究遗传性癫痫性脑病。
EMBO Mol Med. 2021 Aug 9;13(8):e13610. doi: 10.15252/emmm.202013610. Epub 2021 Jul 15.
9
Variation of functional brain connectivity in epileptic seizures: an EEG analysis with cross-frequency phase synchronization.癫痫发作中功能性脑连接的变化:一项基于交叉频率相位同步的脑电图分析
Cogn Neurodyn. 2020 Feb;14(1):35-49. doi: 10.1007/s11571-019-09551-y. Epub 2019 Aug 12.
10
Phase-amplitude coupling and epileptogenesis in an animal model of mesial temporal lobe epilepsy.相位-幅度耦合与内侧颞叶癫痫动物模型中的癫痫发生。
Neurobiol Dis. 2018 Jun;114:111-119. doi: 10.1016/j.nbd.2018.02.008. Epub 2018 Feb 24.