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使用eLORETA峰度分析进行癫痫活动的源估计。

Source estimation of epileptic activity using eLORETA kurtosis analysis.

作者信息

Ikeda Shunichiro, Ishii Ryouhei, Canuet Leonides, Pascual-Marqui Roberto D

机构信息

Department of Neuropsychiatry, Kansai Medical University,, Osaka, Japan.

University Hospital of Psychiatry, University of Bern, Bern, Switzerland.

出版信息

BMJ Case Rep. 2017 Nov 16;2017:bcr-2017-222123. doi: 10.1136/bcr-2017-222123.

DOI:10.1136/bcr-2017-222123
PMID:29146728
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5699115/
Abstract

Exact low-resolution brain electromagnetic tomography (eLORETA) is a technique for three-dimensional representation of the distribution of sources of electrical activity in the brain. Kurtosis analysis allows for identification of spiky activity in the brain. To evaluate the reliability of eLORETA kurtosis analysis, the results of the analysis were compared with those of equivalent current dipole (ECD) and synthetic aperture magnetometry (SAM) kurtosis analysis of magnetoencephalography (MEG) data in a patient with epilepsy with elementary visual seizures in a 6-year follow-up.The results of electroencephalography (EEG) eLORETA kurtosis analysis indicative of a right superior temporal spike source partially overlapped with MEG ECD/SAM kurtosis results in all recordings, with a total overlapping at the end of the follow-up period. Overall findings suggest that eLORETA kurtosis analysis of EEG data may aid in the localisation of spike activity sources in patients with epilepsy.

摘要

精确低分辨率脑电磁断层扫描技术(eLORETA)是一种用于三维呈现大脑电活动源分布的技术。峰度分析有助于识别大脑中的尖峰活动。为评估eLORETA峰度分析的可靠性,在一名患有原发性视觉发作癫痫的患者的6年随访中,将该分析结果与等效电流偶极子(ECD)和脑磁图(MEG)数据的合成孔径磁测量(SAM)峰度分析结果进行了比较。脑电图(EEG)eLORETA峰度分析结果表明,右颞上尖峰源在所有记录中部分与MEG ECD/SAM峰度结果重叠,在随访期结束时完全重叠。总体研究结果表明,EEG数据的eLORETA峰度分析可能有助于癫痫患者尖峰活动源的定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b53/5699115/07cd60657ede/bcr-2017-222123f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b53/5699115/07cd60657ede/bcr-2017-222123f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b53/5699115/07cd60657ede/bcr-2017-222123f01.jpg

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