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利用视觉诱发电位和功能磁共振成像定位初级视觉皮层的激活位点。

Localizing sites of activation in primary visual cortex using visual-evoked potentials and functional magnetic resonance imaging.

作者信息

Baker Suzanne, Baseler Heidi, Klein Stanley, Carney Thom

机构信息

Lawrence Berkeley National Laboratory. Berkeley, California 94720, USA.

出版信息

J Clin Neurophysiol. 2006 Oct;23(5):404-15. doi: 10.1097/01.wnp.0000214596.69436.e0.

Abstract

This study compared retinotopic map identification in primary visual cortex (V1) using: (i) functional magnetic resonance imaging (fMRI) and (ii) visual evoked potentials (VEPs) coupled with dipole source localization (DSL). A multielectrode array was used to record VEPs while subjects viewed a flickering dartboard pattern modulated by a 16-bit m-sequence. The stimulus preferentially activates V1. Using a common time function DSL algorithm, the primary source of each stimulus patch was found independent of the fMRI. The VEP/DSL and fMRI localization data for each subject were aligned by a rigid translation and rotation. The average distance between VEP and corresponding fMRI sources was 10.8 mm +/- 3.8 mm. To assess the significance of the results, fMRI and DSL solutions were scrambled so the comparisons were no longer for corresponding patches. The average distance between the noncorresponding data sets was 17.2 mm for 50 million scrambles. The probability of the scrambled data yielding a better fit than the real data was p < 10(-7). The combination of multielectrode recording, multiinput visual stimulation and common time function DSL analysis can provide a detailed retinotopic map of visual cortex that has high correspondence with independent fMRI localization analysis on the same subject.

摘要

本研究比较了使用以下方法在初级视觉皮层(V1)中进行视网膜拓扑图识别:(i)功能磁共振成像(fMRI)和(ii)视觉诱发电位(VEP)结合偶极子源定位(DSL)。在受试者观看由16位m序列调制的闪烁飞镖靶图案时,使用多电极阵列记录VEP。该刺激优先激活V1。使用通用时间函数DSL算法,独立于fMRI找到了每个刺激斑块的主要来源。通过刚性平移和旋转对每个受试者的VEP/DSL和fMRI定位数据进行对齐。VEP与相应fMRI源之间的平均距离为10.8毫米±3.8毫米。为了评估结果的显著性,对fMRI和DSL解决方案进行了加扰处理,以便比较不再针对相应的斑块。对于5000万次加扰,不对应数据集之间的平均距离为17.2毫米。加扰后的数据比真实数据拟合得更好的概率为p < 10^(-7)。多电极记录、多输入视觉刺激和通用时间函数DSL分析的组合可以提供与同一受试者上独立的fMRI定位分析具有高度一致性的详细视觉皮层视网膜拓扑图。

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