• 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

癫痫中的高频振荡与手术结果。一项荟萃分析。

High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis.

作者信息

Höller Yvonne, Kutil Raoul, Klaffenböck Lukas, Thomschewski Aljoscha, Höller Peter M, Bathke Arne C, Jacobs Julia, Taylor Alexandra C, Nardone Raffaele, Trinka Eugen

机构信息

Department of Neurology, Christian Doppler Medical Centre and Centre for Cognitive Neuroscience, Paracelsus Medical University Salzburg, Austria.

Department of Mathematics, Paris Lodron University Salzburg, Austria.

出版信息

Front Hum Neurosci. 2015 Oct 20;9:574. doi: 10.3389/fnhum.2015.00574. eCollection 2015.

DOI:10.3389/fnhum.2015.00574
PMID:26539097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4611152/
Abstract

High frequency oscillations (HFOs) are estimated as a potential marker for epileptogenicity. Current research strives for valid evidence that these HFOs could aid the delineation of the to-be resected area in patients with refractory epilepsy and improve surgical outcomes. In the present meta-analysis, we evaluated the relation between resection of regions from which HFOs can be detected and outcome after epilepsy surgery. We conducted a systematic review of all studies that related the resection of HFO-generating areas to postsurgical outcome. We related the outcome (seizure freedom) to resection ratio, that is, the ratio between the number of channels on which HFOs were detected and, among these, the number of channels that were inside the resected area. We compared the resection ratio between seizure free and not seizure free patients. In total, 11 studies were included. In 10 studies, ripples (80-200 Hz) were analyzed, and in 7 studies, fast ripples (>200 Hz) were studied. We found comparable differences (dif) and largely overlapping confidence intervals (CI) in resection ratios between outcome groups for ripples (dif = 0.18; CI: 0.10-0.27) and fast ripples (dif = 0.17; CI: 0.01-0.33). Subgroup analysis showed that automated detection (dif = 0.22; CI: 0.03-0.41) was comparable to visual detection (dif = 0.17; CI: 0.08-0.27). Considering frequency of HFOs (dif = 0.24; CI: 0.09-0.38) was related more strongly to outcome than considering each electrode that was showing HFOs (dif = 0.15; CI = 0.03-0.27). The effect sizes found in the meta-analysis are small but significant. Automated detection and application of a detection threshold in order to detect channels with a frequent occurrence of HFOs is important to yield a marker that could be useful in presurgical evaluation. In order to compare studies with different methodological approaches, detailed and standardized reporting is warranted.

摘要

高频振荡(HFOs)被认为是致痫性的潜在标志物。当前的研究致力于寻找有效证据,以证明这些HFOs有助于确定难治性癫痫患者的待切除区域,并改善手术效果。在本荟萃分析中,我们评估了可检测到HFOs的区域切除与癫痫手术后结果之间的关系。我们对所有将产生HFOs区域的切除与术后结果相关联的研究进行了系统评价。我们将结果(无癫痫发作)与切除率相关联,即检测到HFOs的通道数量与其中位于切除区域内的通道数量之比。我们比较了无癫痫发作患者和有癫痫发作患者之间的切除率。总共纳入了11项研究。在10项研究中分析了涟漪(80 - 200Hz),在7项研究中研究了快涟漪(>200Hz)。我们发现,对于涟漪(差异 = 0.18;置信区间:0.10 - 0.27)和快涟漪(差异 = 0.17;置信区间:0.01 - 0.33),结果组之间的切除率存在可比的差异和很大程度上重叠的置信区间。亚组分析表明,自动检测(差异 = 0.22;置信区间:0.03 - 0.41)与视觉检测(差异 = 0.17;置信区间:0.08 - 0.27)相当。考虑HFOs的频率(差异 = 0.24;置信区间:0.09 - 0.38)与结果的相关性比考虑每个显示HFOs的电极(差异 = 0.15;置信区间 = 0.03 - 0.27)更强。荟萃分析中发现的效应大小虽小但具有统计学意义。自动检测以及应用检测阈值以检测频繁出现HFOs的通道,对于产生可用于术前评估的标志物很重要。为了比较采用不同方法的研究,详细且标准化的报告是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/15580fcd5b4c/fnhum-09-00574-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/42ed0f0cde19/fnhum-09-00574-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/18dc3b7cb029/fnhum-09-00574-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/ec64937ed1cc/fnhum-09-00574-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/033ac3232869/fnhum-09-00574-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/699785282273/fnhum-09-00574-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/15580fcd5b4c/fnhum-09-00574-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/42ed0f0cde19/fnhum-09-00574-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/18dc3b7cb029/fnhum-09-00574-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/ec64937ed1cc/fnhum-09-00574-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/033ac3232869/fnhum-09-00574-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/699785282273/fnhum-09-00574-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/15580fcd5b4c/fnhum-09-00574-g0006.jpg

相似文献

1
High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis.癫痫中的高频振荡与手术结果。一项荟萃分析。
Front Hum Neurosci. 2015 Oct 20;9:574. doi: 10.3389/fnhum.2015.00574. eCollection 2015.
2
Multicentre analysis of seizure outcome predicted by removal of high-frequency oscillations.通过去除高频振荡预测癫痫发作结果的多中心分析
Brain. 2025 May 13;148(5):1769-1777. doi: 10.1093/brain/awae361.
3
Association between Removal of High-Frequency Oscillations and the Effect of Epilepsy Surgery: A Meta-Analysis.高频振荡消除与癫痫手术效果的关系:一项荟萃分析。
J Neurol Surg A Cent Eur Neurosurg. 2024 May;85(3):294-301. doi: 10.1055/a-2202-9344. Epub 2023 Nov 2.
4
Focal resection of fast ripples on extraoperative intracranial EEG improves seizure outcome in pediatric epilepsy.术中颅内脑电图快涟漪的局灶切除改善了小儿癫痫的癫痫发作结果。
Epilepsia. 2011 Oct;52(10):1802-11. doi: 10.1111/j.1528-1167.2011.03199.x. Epub 2011 Jul 29.
5
Resection of individually identified high-rate high-frequency oscillations region is associated with favorable outcome in neocortical epilepsy.单独识别的高频率高幅振荡区域切除术与新皮层癫痫的良好预后相关。
Epilepsia. 2014 Nov;55(11):1872-83. doi: 10.1111/epi.12808. Epub 2014 Sep 29.
6
Epileptic high-frequency oscillations in intraoperative electrocorticography: the effect of propofol.术中皮质脑电图中的癫痫高频振荡:丙泊酚的影响。
Epilepsia. 2012 Oct;53(10):1799-809. doi: 10.1111/j.1528-1167.2012.03650.x. Epub 2012 Sep 17.
7
Detection and localization of interictal ripples with magnetoencephalography in the presurgical evaluation of drug-resistant insular epilepsy.脑磁图在耐药性岛叶癫痫术前评估中对间期棘波的检测和定位。
Brain Res. 2019 Mar 1;1706:147-156. doi: 10.1016/j.brainres.2018.11.006. Epub 2018 Nov 5.
8
Prognostic Value of Complete Resection of the High-Frequency Oscillation Area in Intracranial EEG: A Systematic Review and Meta-Analysis.高频振荡区完全切除的预后价值:系统评价和荟萃分析。
Neurology. 2024 May 14;102(9):e209216. doi: 10.1212/WNL.0000000000209216. Epub 2024 Apr 1.
9
Mouse model of focal cortical dysplasia type II generates a wide spectrum of high-frequency activities.鼠类 II 型局灶性皮质发育不良模型产生广泛的高频活动。
Neurobiol Dis. 2024 Jan;190:106383. doi: 10.1016/j.nbd.2023.106383. Epub 2023 Dec 17.
10
Correcting for physiological ripples improves epileptic focus identification and outcome prediction.纠正生理波动可提高癫痫灶定位和预后预测。
Epilepsia. 2022 Feb;63(2):483-496. doi: 10.1111/epi.17145. Epub 2021 Dec 16.

引用本文的文献

1
Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.利用功能连接和机器学习从发作间期颅内脑电图预测癫痫发作起始区。
Sci Rep. 2025 May 22;15(1):17801. doi: 10.1038/s41598-025-02679-4.
2
Investigation of the relationship between 0.5-1200 Hz signal characteristics of cortical high-frequency oscillations and epileptogenicity through multivariate analysis.通过多变量分析研究皮质高频振荡的0.5 - 1200赫兹信号特征与致痫性之间的关系。
Epilepsy Behav Rep. 2025 Apr 24;31:100776. doi: 10.1016/j.ebr.2025.100776. eCollection 2025 Sep.
3
Spikes on ripples are better interictal biomarkers of epilepsy than spikes or ripples.

本文引用的文献

1
Temporal and spatial characteristics of high frequency oscillations as a new biomarker in epilepsy.高频振荡作为癫痫的一种新生物标志物的时空特征。
Epilepsia. 2015 Feb;56(2):197-206. doi: 10.1111/epi.12844. Epub 2014 Dec 30.
2
Resection of individually identified high-rate high-frequency oscillations region is associated with favorable outcome in neocortical epilepsy.单独识别的高频率高幅振荡区域切除术与新皮层癫痫的良好预后相关。
Epilepsia. 2014 Nov;55(11):1872-83. doi: 10.1111/epi.12808. Epub 2014 Sep 29.
3
Interictal high frequency oscillations correlating with seizure outcome in patients with widespread epileptic networks in tuberous sclerosis complex.
与棘波或慢波相比,涟漪上的棘波是更好的癫痫发作间期生物标志物。
Brain Commun. 2025 Feb 8;7(1):fcaf056. doi: 10.1093/braincomms/fcaf056. eCollection 2025.
4
Diagnosis of Cognitive and Mental Disorders: A New Approach Based on Spectral-Spatiotemporal Analysis and Local Graph Structures of Electroencephalogram Signals.认知与精神障碍的诊断:一种基于脑电图信号的谱-时空分析和局部图结构的新方法。
Brain Sci. 2025 Jan 14;15(1):68. doi: 10.3390/brainsci15010068.
5
Source Causal Connectivity Noninvasively Predicting Surgical Outcomes of Drug-Refractory Epilepsy.源因果连通性无创预测药物难治性癫痫的手术结果。
CNS Neurosci Ther. 2025 Jan;31(1):e70196. doi: 10.1111/cns.70196.
6
Networks through the lens of high-frequency oscillations.从高频振荡视角看网络
Front Netw Physiol. 2024 Nov 28;4:1462672. doi: 10.3389/fnetp.2024.1462672. eCollection 2024.
7
Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone.刺激诱导的光谱反应的网络兴奋性有助于定位癫痫发作起始区。
Clin Neurophysiol. 2024 Oct;166:43-55. doi: 10.1016/j.clinph.2024.07.010. Epub 2024 Jul 24.
8
Prognostic Value of Complete Resection of the High-Frequency Oscillation Area in Intracranial EEG: A Systematic Review and Meta-Analysis.高频振荡区完全切除的预后价值:系统评价和荟萃分析。
Neurology. 2024 May 14;102(9):e209216. doi: 10.1212/WNL.0000000000209216. Epub 2024 Apr 1.
9
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.
10
Spike ripples localize the epileptogenic zone best: an international intracranial study.棘波涟漪能最好地定位致痫区:一项国际颅内研究。
Brain. 2024 Jul 5;147(7):2496-2506. doi: 10.1093/brain/awae037.
结节性硬化症中广泛癫痫网络患者发作间期高频振荡与癫痫发作结果的相关性。
Epilepsia. 2014 Oct;55(10):1602-10. doi: 10.1111/epi.12761. Epub 2014 Sep 5.
4
The preoperative evaluation and surgical treatment of epilepsy.癫痫的术前评估与外科治疗
Dtsch Arztebl Int. 2014 May 2;111(18):313-9. doi: 10.3238/arztebl.2014.0313.
5
Human intracranial high frequency oscillations (HFOs) detected by automatic time-frequency analysis.通过自动时频分析检测到的人类颅内高频振荡(HFOs)。
PLoS One. 2014 Apr 10;9(4):e94381. doi: 10.1371/journal.pone.0094381. eCollection 2014.
6
High frequency oscillations in intra-operative electrocorticography before and after epilepsy surgery.癫痫手术前后术中皮层脑电图的高频振荡
Clin Neurophysiol. 2014 Nov;125(11):2212-2219. doi: 10.1016/j.clinph.2014.03.004. Epub 2014 Mar 13.
7
Methods for implantation of micro-wire bundles and optimization of single/multi-unit recordings from human mesial temporal lobe.人内侧颞叶微丝束植入方法及单/多单元记录的优化
J Neural Eng. 2014 Apr;11(2):026013. doi: 10.1088/1741-2560/11/2/026013. Epub 2014 Mar 10.
8
Electrophysiological biomarkers of epilepsy.癫痫的电生理生物标志物。
Neurotherapeutics. 2014 Apr;11(2):334-46. doi: 10.1007/s13311-014-0259-0.
9
The role of high-frequency oscillations in epilepsy surgery planning.高频振荡在癫痫手术规划中的作用。
Cochrane Database Syst Rev. 2014 Jan 15;1(1):CD010235. doi: 10.1002/14651858.CD010235.pub2.
10
Differentiation of specific ripple patterns helps to identify epileptogenic areas for surgical procedures.特定涟漪模式的区分有助于确定手术的致痫区。
Clin Neurophysiol. 2014 Jul;125(7):1339-45. doi: 10.1016/j.clinph.2013.11.030. Epub 2013 Dec 6.