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首页> 外文期刊>Journal of Clinical Neurophysiology >Source localization of temporal lobe epilepsy using PCA-LORETA analysis on ictal EEG recordings.
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Source localization of temporal lobe epilepsy using PCA-LORETA analysis on ictal EEG recordings.

机译:在发作性脑电图记录中使用PCA-LORETA分析对颞叶癫痫的来源进行定位。

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摘要

Localizing the source of an epileptic seizure using noninvasive EEG suffers from inaccuracies produced by other generators not related to the epileptic source. The authors isolated the ictal epileptic activity, and applied a source localization algorithm to identify its estimated location. Ten ictal EEG scalp recordings from five different patients were analyzed. The patients were known to have temporal lobe epilepsy with a single epileptic focus that had a concordant MRI lesion. The patients had become seizure-free following partial temporal lobectomy. A midinterval (approximately 5 seconds) period of ictal activity was used for Principal Component Analysis starting at ictal onset. The level of epileptic activity at each electrode (i.e., the eigenvector of the component that manifest epileptic characteristic), was used as an input for low-resolution tomography analysis for EEG inverse solution (Zilberstain et al., 2004). The algorithm accurately and robustly identified the epileptic focus in these patients. Principal component analysis and source localization methods can be used in the future to monitor the progression of an epileptic seizure and its expansion to other areas.
机译:使用非侵入性EEG对癫痫发作的来源进行定位会受到与癫痫病源无关的其他发生器产生的误差的影响。这组作者分离出了发作性癫痫活动,并应用了源定位算法来识别其估计位置。分析了来自五名不同患者的十次发作性EEG头皮记录。已知这些患者患有颞叶癫痫,单个癫痫灶具有一致的MRI病变。患者在部分颞叶切除术后无癫痫发作。从发作开始就采用中间间隔(约5秒)的发作时间进行主成分分析。每个电极的癫痫活动水平(即表现出癫痫特征的成分的特征向量)被用作EEG逆溶液的低分辨率层析成像分析的输入(Zilberstain等,2004)。该算法准确,可靠地确定了这些患者的癫痫病灶。将来可以使用主成分分析和源定位方法来监视癫痫发作的进展及其向其他区域的扩展。

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