Inverso Samuel A, Goh Xin-Lin, Henriksson Linda, Vanni Simo, James Andrew C
Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia.
Australian Research Council Centre of Excellence in Vision Science and Research School of Biology, Australian National University, Canberra, ACT, Australia.
Hum Brain Mapp. 2016 May;37(5):1696-709. doi: 10.1002/hbm.23128. Epub 2016 Feb 12.
Despite evoked potentials' (EP) ubiquity in research and clinical medicine, insights are limited to gross brain dynamics as it remains challenging to map surface potentials to their sources in specific cortical regions. Multiple sources cancellation due to cortical folding and cross-talk obscures close sources, e.g. between visual areas V1 and V2. Recently retinotopic functional magnetic resonance imaging (fMRI) responses were used to constrain source locations to assist separating close sources and to determine cortical current generators. However, an fMRI is largely infeasible for routine EP investigation. We developed a novel method that replaces the fMRI derived retinotopic layout (RL) by an approach where the retinotopy and current estimates are generated from EEG or MEG signals and a standard clinical T1-weighted anatomical MRI. Using the EEG-RL, sources were localized to within 2 mm of the fMRI-RL constrained localized sources. The EEG-RL also produced V1 and V2 current waveforms that closely matched the fMRI-RL's (n = 2) r(1,198) = 0.99, P < 0.0001. Applying the method to subjects without fMRI (n = 4) demonstrates it generates waveforms that agree closely with the literature. Our advance allows investigators with their current EEG or MEG systems to create a library of brain models tuned to individual subjects' cortical folding in retinotopic maps, and should be applicable to auditory and somatosensory maps. The novel method developed expands EP's ability to study specific brain areas, revitalizing this well-worn technique. Hum Brain Mapp 37:1696-1709, 2016. © 2016 Wiley Periodicals, Inc.
尽管诱发电位(EP)在研究和临床医学中无处不在,但由于将表面电位映射到特定皮质区域的源仍然具有挑战性,目前对大脑动力学的了解仅限于总体情况。由于皮质折叠和串扰导致的多个源抵消会掩盖近距离的源,例如视觉区域V1和V2之间的源。最近,视网膜拓扑功能磁共振成像(fMRI)反应被用于限制源位置,以帮助分离近距离的源并确定皮质电流发生器。然而,fMRI在常规EP研究中基本上不可行。我们开发了一种新方法,该方法通过一种从脑电图(EEG)或脑磁图(MEG)信号以及标准临床T1加权解剖磁共振成像生成视网膜拓扑和电流估计的方法,取代了fMRI得出的视网膜拓扑布局(RL)。使用EEG-RL,源被定位在fMRI-RL约束定位源的2毫米范围内。EEG-RL还产生了与fMRI-RL紧密匹配的V1和V2电流波形(n = 2),r(1,198) = 0.99,P < 0.0001。将该方法应用于没有fMRI的受试者(n = 4)表明,它生成的波形与文献密切一致。我们的进展使研究人员能够使用他们现有的EEG或MEG系统,创建一个针对个体受试者视网膜拓扑图中皮质折叠进行调整的脑模型库,并且应该适用于听觉和躯体感觉图。所开发的新方法扩展了EP研究特定脑区的能力,使这项陈旧的技术得以复兴。《人类大脑图谱》37:1696 - 1709,2016年。© 2016威利期刊公司。