Asadzadeh Shiva, Yousefi Rezaii Tohid, Beheshti Soosan, Delpak Azra, Meshgini Saeed
Faculty of Electrical and Computer Engineering, University of Tabriz, Iran.
Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
J Neurosci Methods. 2020 Jun 1;339:108740. doi: 10.1016/j.jneumeth.2020.108740. Epub 2020 Apr 27.
In recent years, multiple noninvasive imaging modalities have been used to develop a better understanding of the human brain functionality, including positron emission tomography, single-photon emission computed tomography, and functional magnetic resonance imaging, all of which provide brain images with millimeter spatial resolutions. Despite good spatial resolution, time resolution of these methods are poor and values are about seconds. Scalp electroencephalography recordings can be used to perform the inverse problem in order to specify the location of the dominant sources of the brain activity. In this paper, EEG source localization method, diagnosis of brain abnormalities using common EEG source localization methods, investigating the effect of the head model on EEG source imaging results have been studied. In this review we present enough evidence that provides motivation for consideration in the future research using EEG source localization methods.
近年来,多种非侵入性成像方式已被用于更好地理解人类大脑功能,包括正电子发射断层扫描、单光子发射计算机断层扫描和功能磁共振成像,所有这些都能提供具有毫米级空间分辨率的脑图像。尽管空间分辨率良好,但这些方法的时间分辨率较差,数值约为秒级。头皮脑电图记录可用于执行反问题,以确定大脑活动主要源的位置。本文研究了脑电图源定位方法、使用常见脑电图源定位方法诊断脑部异常以及研究头部模型对脑电图源成像结果的影响。在这篇综述中,我们提供了充分的证据,为未来使用脑电图源定位方法的研究提供了考虑的动机。