| 龙柳,张志强,张宗军,许强,卢光明.低频振幅分析及EEG-fMRI对局灶性癫痫活动定位的比较研究[J].中国医学影像技术,2013,29(11):1795~1799 |
| 低频振幅分析及EEG-fMRI对局灶性癫痫活动定位的比较研究 |
| Amplitude of low frequency fluctuation and EEG-fMRI for epileptic activation detection in focal epilepsy：A comparative study |
| 投稿时间：2013-06-05 修订日期：2013-09-07 |
| DOI： |
| 中文关键词: 癫痫,局灶性 脑电图 磁共振成像 低频振幅 |
| 英文关键词:Epilepsies, partial Electroencephalography Magnetic resonance imaging Amplitude of low-frequency fluctuation |
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| 摘要点击次数: 1810 |
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| 中文摘要: |
| 目的 对比低频振幅(ALFF)分析技术与脑电联合功能磁共振成像(EEG-fMRI)技术对局灶性癫痫活动检测的能力,评估ALFF分析技术在局灶性癫痫活动定位中的应用价值。方法 纳入24例有明确病理灶存在的局灶性癫痫患者,分别利用GE 1.5T MRI仪(17例)及Siemens 3.0T MRI仪(7例)行同步EEG-fMRI数据采集。以广义线性模型(GLM)方法对间期痫样发放(IEDs)相关fMRI活动的检测为基础;再采用ALFF分析技术,对个例患者与大样本正常受试者基线数据进行两样本t检验(P<0.05,Alphasim校正),检测局灶性癫痫脑区ALFF改变的位置。最后以临床或手术癫痫定位结果为标准,对比分析两种fMRI技术对癫痫活动的检测能力。结果 36次有效癫痫EEG-fMRI数据中,两种分析技术均检出明显的BOLD结果。EEG-fMRI定位结果与临床定位结果相关者15次(15/36,41.66%);ALFF结果与临床定位结果相关者24次(24/36,66.67%)。两者定位结果一致且均与临床定位结果相关者9次(9/36,25.00%),两者定位结果均与临床定位结果不符者6次(6/36,16.67%)。结论 EEG-fMRI能有效检出癫痫活动相关脑区;基于ALFF的fMRI技术可在不须同步EEG信息的情况下更好地检测癫痫活动。 |
| 英文摘要: |
| Objective To comparatively investigate the capability of amplitude of low frequency fluctuation (ALFF) and electroencephalogram-correlated functional MRI (EEG-fMRI) for detection of epileptic activation, and to assess the value of ALFF technique for localization of focal epilepsy. Methods Twenty-four partial epilepsy patients with specific pathological lesions were included, simultaneous EEG-fMRI data were acquired on GE 1.5T MR scanner (17 cases) or Siemens 3.0T MR scanner (7 cases). General linear model (GLM) based analysis was used to measure interictal epileptiform discharges (IEDs) related fMRI activation. Subsequently, ALFF of individual patient was compared with the baseline data of a large sample normal subjects using two-sample t test (P<0.05, Alphasim corrected) to detect alteration of ALFF value in patients with focal epilepsy. fMRI results from two analysis approaches were validated by localization results in clinic. Results A total of 36 sessions of EEG-fMRI data were successfully acquired. Both analysis methods detected obvious BOLD signals. For GLM based analysis of EEG-fMRI data, 15 sessions (15/36, 41.66%) were concordances with clinical location results. For ALFF analysis, 24 sessions (24/36, 66.67%) were concordances with clinical location results. The results of 9 sessions (9/36, 25.00%) with both techniques were consistent and also accordance with clinical location, while of 6 sessions (6/36, 16.67%) with both techniques were inconsistent with clinical location. Conclusion EEG-fMRI has capability for detecting epileptic activation. ALFF based fMRI technique can achieve better results of epileptic activation detection without simultaneous EEG information. |
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