19. FDG PET数据与EEG偶极子模型的相关性研究

Pozo MA , Pascau J , Rojo P , Maldonado A , Gonzalez FJ , Desco M , Sola RG
{"title":"19. FDG PET数据与EEG偶极子模型的相关性研究","authors":"Pozo MA ,&nbsp;Pascau J ,&nbsp;Rojo P ,&nbsp;Maldonado A ,&nbsp;Gonzalez FJ ,&nbsp;Desco M ,&nbsp;Sola RG","doi":"10.1016/S1095-0397(00)00085-6","DOIUrl":null,"url":null,"abstract":"<div><p><strong>Purpose:</strong> FDG-PET images and EEG dipole modelling were used to localization of interictal epileptogenic foci. A multimodality approach with the analysis of FDG-PET images, EEG dipoles and anatomical images (MRI) were applied to patients with drug-resistant epilepsy.</p><p><strong>Methods:</strong> Source location was determined using Brain Electromagnetic Source Analysis (BESA) program. The dipole location provided by BESA was then transformed into PET co-ordinates using the patient's MRI previously registered with the PET image. As a difference with other methods, no external markers are necessary.</p><p><strong>Results:</strong> The study group includes ten drug-resistant epileptic patients. FDG hypometabolism was found in all patients. Abnormalities in glucose uptake were always ipsilateral to the EEG dipole. However, quantitative analysis of FDG-PET within hypometabolic areas showed no significant correlation between decrease glucose uptake and location of EEG-dipole source. The comparison of the results using both methods shows that the dipole location matches the FDG-PET hypometabolic area for all the patients. Combining the spatial localization on FDG-PET with the temporal accuracy of EEG dipole source aids in the exact localization of the epileptogenic focus.</p><p><strong>Conclusion:</strong> As a conclusion, the results show that projection of EEG dipole data onto FDG-PET may play a key role in the indication of surgery for the treatment of drug-resistant epileptic patients, provided it is simple and easy to perform.</p></div>","PeriodicalId":80267,"journal":{"name":"Clinical positron imaging : official journal of the Institute for Clinical P.E.T","volume":"3 4","pages":"Page 173"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1095-0397(00)00085-6","citationCount":"7","resultStr":"{\"title\":\"19. Correlation between FDG PET data and EEG dipole modeling\",\"authors\":\"Pozo MA ,&nbsp;Pascau J ,&nbsp;Rojo P ,&nbsp;Maldonado A ,&nbsp;Gonzalez FJ ,&nbsp;Desco M ,&nbsp;Sola RG\",\"doi\":\"10.1016/S1095-0397(00)00085-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><strong>Purpose:</strong> FDG-PET images and EEG dipole modelling were used to localization of interictal epileptogenic foci. A multimodality approach with the analysis of FDG-PET images, EEG dipoles and anatomical images (MRI) were applied to patients with drug-resistant epilepsy.</p><p><strong>Methods:</strong> Source location was determined using Brain Electromagnetic Source Analysis (BESA) program. The dipole location provided by BESA was then transformed into PET co-ordinates using the patient's MRI previously registered with the PET image. As a difference with other methods, no external markers are necessary.</p><p><strong>Results:</strong> The study group includes ten drug-resistant epileptic patients. FDG hypometabolism was found in all patients. Abnormalities in glucose uptake were always ipsilateral to the EEG dipole. However, quantitative analysis of FDG-PET within hypometabolic areas showed no significant correlation between decrease glucose uptake and location of EEG-dipole source. The comparison of the results using both methods shows that the dipole location matches the FDG-PET hypometabolic area for all the patients. Combining the spatial localization on FDG-PET with the temporal accuracy of EEG dipole source aids in the exact localization of the epileptogenic focus.</p><p><strong>Conclusion:</strong> As a conclusion, the results show that projection of EEG dipole data onto FDG-PET may play a key role in the indication of surgery for the treatment of drug-resistant epileptic patients, provided it is simple and easy to perform.</p></div>\",\"PeriodicalId\":80267,\"journal\":{\"name\":\"Clinical positron imaging : official journal of the Institute for Clinical P.E.T\",\"volume\":\"3 4\",\"pages\":\"Page 173\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1095-0397(00)00085-6\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical positron imaging : official journal of the Institute for Clinical P.E.T\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1095039700000856\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical positron imaging : official journal of the Institute for Clinical P.E.T","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1095039700000856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

目的:利用FDG-PET图像和脑电图偶极子模型定位癫痫发作间期病灶。应用FDG-PET、脑电图偶极子和解剖图像(MRI)对耐药癫痫患者进行多模态分析。方法:采用脑电磁源分析(BESA)程序确定源位置。BESA提供的偶极子位置随后被转换为PET坐标,使用患者先前与PET图像注册的MRI。与其他方法不同的是,不需要外部标记。结果:研究组纳入10例耐药癫痫患者。所有患者均出现FDG低代谢。葡萄糖摄取异常总是同侧脑电图偶极子。然而,低代谢区FDG-PET的定量分析显示,葡萄糖摄取减少与脑电图偶极子源的位置之间没有显著相关性。两种方法的结果比较表明,所有患者的偶极子位置都符合FDG-PET低代谢区。将FDG-PET的空间定位与脑电偶极子源的时间精度相结合,有助于准确定位致痫灶。结论:EEG偶极子数据在FDG-PET上的投影,在操作简单、容易的情况下,可能对耐药癫痫患者的手术指征起到关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
19. Correlation between FDG PET data and EEG dipole modeling

Purpose: FDG-PET images and EEG dipole modelling were used to localization of interictal epileptogenic foci. A multimodality approach with the analysis of FDG-PET images, EEG dipoles and anatomical images (MRI) were applied to patients with drug-resistant epilepsy.

Methods: Source location was determined using Brain Electromagnetic Source Analysis (BESA) program. The dipole location provided by BESA was then transformed into PET co-ordinates using the patient's MRI previously registered with the PET image. As a difference with other methods, no external markers are necessary.

Results: The study group includes ten drug-resistant epileptic patients. FDG hypometabolism was found in all patients. Abnormalities in glucose uptake were always ipsilateral to the EEG dipole. However, quantitative analysis of FDG-PET within hypometabolic areas showed no significant correlation between decrease glucose uptake and location of EEG-dipole source. The comparison of the results using both methods shows that the dipole location matches the FDG-PET hypometabolic area for all the patients. Combining the spatial localization on FDG-PET with the temporal accuracy of EEG dipole source aids in the exact localization of the epileptogenic focus.

Conclusion: As a conclusion, the results show that projection of EEG dipole data onto FDG-PET may play a key role in the indication of surgery for the treatment of drug-resistant epileptic patients, provided it is simple and easy to perform.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信