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fMRI-MEG Integrative Neuroimaging in an Apparent Visual Motion Perception Task

机译:FMRI-MEG一体化神经影像在一个明显的视觉运动感知任务中

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We have developed an fMRI-MEG integrative neuroimaging method that is capable of analyzing spatiotemporal multiple cortical activities. The method determines the center of gravity in each fMRI activated cluster as the location of the linear constraints. First, activated multiple clusters were determined by statistically analyzing fMRI data. Secondly, using the fMRI activated clusters as spatial constraints, the orientations of equivalent current dipoles (ECDs) placed at the center of gravity in each voxel of all activated clusters were estimated by a procedure maximizing inner product of lead field and measured field vectors. Thirdly, the activities of all ECDs were estimated, and dynamic activities of them were visualized. The linear constraints for the voxels in a cluster are defined to suppress the power from the source at the center of gravity of the other cluster. The spatial distributions and the time courses of activities for all ECDs were successfully reconstructed. We applied the newly developed method to data obtained during an apparent visual motion perception task and could confirm its availability. Although there were individual differences, the present fMRI-MEG integrative neuroimaging method successfully detected dynamic cortical activities in multiple visual areas, such as V1, V2, V5 and IPS.
机译:我们开发了一种FMRI-MEG综合神经影像方法,能够分析时尚多种皮质活动。该方法确定每个FMRI激活群集中的重心作为线性约束的位置。首先,通过统计分析FMRI数据来确定激活的多个集群。其次,使用FMRI被激活的簇作为空间约束,估计在所有活化簇的每个体素的重心处于重心的等效电流偶极子(ECD)的取向被铅磁场的内部产品和测量的场向量。第三,估计所有ECD的活动,可视化它们的动态活动。群集中的体素的线性约束被定义为抑制来自其他簇的重心的源极的电源。所有ECD的空间分布和活动的时间课程都成功地重建。我们将新开发的方法应用于在表观视觉运动感知任务期间获得的数据,可以确认其可用性。虽然存在个体差异,但目前的FMRI-MEG综合神经影像学方法在多个视觉区域中成功地检测到动态皮质活动,例如V1,V2,V5和IPS。

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