Integration of EEG source imaging with MRI The ultimate goal of modern EEG source imaging is the localization of the EEG sources in anatomically defined brain structures so that direct comparison with other imaging methods, with lesion studies, or with intracranial recordings can be made. Most of ...
使用癫痫成功手术后的切除区域作为定位的基础研究表明,脑电源成像分析(EEG source imaging,ESI)成功地以大约85%的准确度识别了癫痫区域。其他研究将EEG或MEG源定位分析与颅内诱发电位、电皮层刺激或功能磁共振成像(fMRI)进行比较,也证明了使用这些非侵入性技术的源定位精度。 然而,相关的问题是,是否可以通过头皮脑电图...
现在的源定位(source localization)和源成像(source imaging)方法,可以把脑电信号定位到大脑皮层的特定位置上,分辨率最高能达到5毫米左右。5毫米的...实验室目前的研究重点。作为旁观者,我认为这是可能在5到10年内产生重要成果的方向。 在无创方面,脑电信号的分析方法一定还会提高。此外,我认为我们不能只做计算,...
前不久,来自日内瓦大学的Michel教授带领的研究团队在Nature Communications上发表了题为Subcortical electrophysiological activity is detectable with high-density EEG source imaging的论文,通过高密度EEG源成像监测皮质下电生理活动,证实了通过EEG监测皮质下电生理的可行性【2】。 Nature Communications 什么是EEG源成像? 人...
To compare EEG source imaging results with the actual DBS electrode positions, identified from post-op computer tomography (CT), we spatially aligned imaging data from these different modalities (Fig. 1a, Supplementary Figure 1). Fig. 1 Electrode implantation and electrophysiological recordings in the...
TESS builds on and enhances state-of-the-art EEG source imaging methods. • TESS estimates significant sources corresponding to given topographies. • Topographies can be group maps, simulated maps, simulated artifact maps, etc. • TESS provides direct estimate of sources' amplitude and signific...
(2002)12. Liu, Z.M., He, B.: FMRI-EEG integrated cortical source imaging by use of time-variant spatial constraints. NeuroImage. 39(3), 1198–1214 (2008)13. Poudel, G.R., Innes, C.R.H., Jones, R.D.: Distinct neural correlates of time-on-task and transient errors during a ...
Sohrabpour, A., Cai, Z., Ye, S., Brinkmann, B., Worrell, G., & He, B. (2020). Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources. Nature Communications, 11(1), 1–15. https://doi.org/10.1038/s41467-020-15781-0 ...
Correspondence toKensuke Sekihara. Rights and permissions Reprints and permissions Copyright information © 2015 Springer International Publishing Switzerland About this chapter Cite this chapter Sekihara, K., Nagarajan, S.S. (2015). A Unified Bayesian Framework for MEG/EEG Source Imaging. In: Electr...