Suppr超能文献

二维经颅电流刺激在检测对癫痫活动的脑血氧水平依赖反应方面的局限性。

Limits of 2D-TCA in detecting BOLD responses to epileptic activity.

作者信息

Khatamian Yasha Borna, Fahoum Firas, Gotman Jean

机构信息

Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, Canada H3A 2B4.

出版信息

Epilepsy Res. 2011 May;94(3):177-88. doi: 10.1016/j.eplepsyres.2011.01.018. Epub 2011 Feb 25.

Abstract

Two-dimensional temporal clustering analysis (2D-TCA) is a relatively new functional MRI (fMRI) based technique that breaks blood oxygen level dependent activity into separate components based on timing and has shown potential for localizing epileptic activity independently of electroencephalography (EEG). 2D-TCA has only been applied to detect epileptic activity in a few studies and its limits in detecting activity of various forms (i.e. activation size, amplitude, and frequency) have not been investigated. This study evaluated 2D-TCA's ability to detect various forms of both simulated epileptic activity and EEG-fMRI activity detected in patients. When applied to simulated data, 2D-TCA consistently detected activity in 6min runs containing 5 spikes/run, 10 spikes/run, and one 5s long event with hemodynamic response function amplitudes of at least 1.5%, 1.25%, and 1% above baseline respectively. When applied to patient data, while detection of interictal spikes was inconsistent, 2D-TCA consistently produced results similar to those obtained by EEG-fMRI when at least 2 prolonged interictal events (a few seconds each) occurred during the run. However, even for such cases it was determined that 2D-TCA can only be used to validate localization by other means or to create hypotheses as to where activity may occur, as it also detects changes not caused by epileptic activity.

摘要

二维时间聚类分析(2D-TCA)是一种相对较新的基于功能磁共振成像(fMRI)的技术,它根据时间将血氧水平依赖活动分解为单独的成分,并已显示出独立于脑电图(EEG)定位癫痫活动的潜力。二维时间聚类分析仅在少数研究中应用于检测癫痫活动,其在检测各种形式活动(即激活大小、幅度和频率)方面的局限性尚未得到研究。本研究评估了二维时间聚类分析检测模拟癫痫活动和患者中检测到的脑电图-功能磁共振成像活动的各种形式的能力。当应用于模拟数据时,二维时间聚类分析在包含5次/运行尖峰、10次/运行尖峰和一个5秒长事件的6分钟运行中始终检测到活动,其血液动力学响应函数幅度分别比基线高至少1.5%、1.25%和1%。当应用于患者数据时,虽然发作间期尖峰的检测不一致,但当运行期间至少发生2次延长的发作间期事件(每次持续几秒)时,二维时间聚类分析始终产生与脑电图-功能磁共振成像获得的结果相似的结果。然而,即使对于这种情况,也确定二维时间聚类分析只能用于通过其他方法验证定位或对活动可能发生的位置提出假设,因为它也检测到不是由癫痫活动引起的变化。

相似文献

3
Detection of epileptic activity in fMRI without recording the EEG.在不记录 EEG 的情况下进行 fMRI 中的癫痫活动检测。
Neuroimage. 2012 Apr 15;60(3):1867-79. doi: 10.1016/j.neuroimage.2011.12.083. Epub 2012 Jan 28.
6
Integrating EEG and fMRI in epilepsy.将 EEG 和 fMRI 整合到癫痫中。
Neuroimage. 2011 Feb 14;54(4):2719-31. doi: 10.1016/j.neuroimage.2010.11.038. Epub 2010 Nov 23.

引用本文的文献

5
Resting-state fMRI studies in epilepsy.静息态 fMRI 在癫痫中的研究。
Neurosci Bull. 2012 Aug;28(4):449-55. doi: 10.1007/s12264-012-1255-1.
6
Detection of epileptic activity in fMRI without recording the EEG.在不记录 EEG 的情况下进行 fMRI 中的癫痫活动检测。
Neuroimage. 2012 Apr 15;60(3):1867-79. doi: 10.1016/j.neuroimage.2011.12.083. Epub 2012 Jan 28.

本文引用的文献

4
Cortical substrates of scalp EEG epileptiform discharges.头皮脑电图癫痫样放电的皮质基质
J Clin Neurophysiol. 2007 Apr;24(2):96-100. doi: 10.1097/WNP.0b013e31803ecdaf.
9
Quality of EEG in simultaneous EEG-fMRI for epilepsy.癫痫同步脑电图-功能磁共振成像中脑电图的质量
Clin Neurophysiol. 2003 Mar;114(3):569-80. doi: 10.1016/s1388-2457(02)00383-8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验