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首页> 外文期刊>Brain research >Source localization of periodic sharp wave complexes using independent component analysis in sporadic Creutzfeldt-Jakob disease.
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Source localization of periodic sharp wave complexes using independent component analysis in sporadic Creutzfeldt-Jakob disease.

机译：使用独立成分分析在偶发性Creutzfeldt-Jakob病中周期性尖波复合物的源定位。

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摘要

Patients with Creutzfeldt-Jakob disease (CJD) show periodic sharp wave complexes (PSWCs) on electroencephalography (EEG) during the course of their illness. However, the source location of PSWCs and their pathophysiological mechanism remain unclear. Six patients with sporadic CJD who showed typical PSWCs on EEGs were selected for the study. Sixty epochs, each spanning the period from -0.25 to +0.25 s after the negative maximum of a typical PSWC, were selected for analysis in each patient. The EEG data matrix was decomposed using an independent component analysis based on a simple, neural network algorithm that can blindly separate mixtures of independent sources, using information maximization. The separate independent components were subjected to dipole source localization using a single dipole model. Three to seven independent components responsible for the PSWCs seen in CJD were identified. The EEG recording reconstructed from the selected independent components accounted for more than 80% of the variance in the original recording. All patients showed dipole sources responsible for the PSWCs of CJD in both the cortical and subcortical deep gray matter. In five of six patients, the dorsolateral and medial frontal cortices were the cortical sources of the PSWCs. Four patients showed dipole sources in the caudate and/or lentiform nucleus. In three patients, the dipole source was localized in the thalamus. These findings suggest that basal ganglia and thalami, as well as frontal cortices, are involved in generating PSWCs in CJD.
机译：患有克雅氏病（CJD）的患者在病程中会在脑电图（EEG）上显示周期性的尖波复合体（PSWC）。但是，PSWCs的来源位置及其病理生理机制仍不清楚。本研究选择了6例散发性CJD患者，这些患者在脑电图上显示出典型的PSWC。选择了60个时期，每个时期从典型PSWC的负最大值开始在-0.25到+0.25 s的时间段内进行分析。使用基于简单神经网络算法的独立成分分析对EEG数据矩阵进行分解，该方法可以利用信息最大化来盲目分离独立来源的混合物。使用单个偶极子模型对单独的独立组件进行偶极子源定位。确定了在CJD中看到的负责PSWC的三至七个独立组件。由选定的独立成分重建的EEG记录占原始记录中80％以上的方差。所有患者在皮质和皮质下深层灰质中均显示出引起CJD PSWC的偶极子源。在六名患者中的五名中，背外侧和内侧额皮质是PSWC的皮质来源。四名患者在尾状和/或长形核中显示出偶极来源。在三名患者中，偶极子源位于丘脑。这些发现表明，基底节和丘脑以及额叶皮层参与了克雅氏病患者PSWC的产生。

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