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A probabilistic atlas of the human motion complex built from large‐scale functional localizer data

机译:从大规模功能定位器数据构建的人体运动复合体概率图集

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摘要

Accurate motion perception is critical to dealing with the changing dynamics of our visual world. A cluster known as the human MT+ complex (hMT+) has been identified as a core region involved in motion perception. Several atlases defined based on cytoarchitecture, retinotopy, connectivity, and multimodal features include homologs of the hMT+. However, an hMT+ atlas defined directly based on this region's response for motion is still lacking. Here, we identified the hMT+ based on motion responses from functional magnetic resonance imaging (fMRI) localizer data in 509 participants and then built a probabilistic atlas of the hMT+. As a result, four main findings were revealed. First, the hMT+ showed large interindividual variability across participants. Second, the atlases stabilized when the number of participants used to build the atlas was more than 100. Third, the functional hMT+ showed good agreement with the hMT+ atlases built based on cytoarchitecture, retinotopy, and connectivity, suggesting a good structural–functional correspondence. Fourth, tests on multiple fMRI data sets acquired from independent participants, imaging parameters and paradigms revealed that the functional hMT+ showed higher sensitivity than all other atlases in ROI analysis except that connectivity and multimodal hMT+ atlases in the left hemisphere could infrequently attain comparable sensitivity to the functional atlas. Taken together, our findings reveal the benefit of using large‐scale functional localizer data to build a reliable and representative hMT+ atlas. Our atlas is freely available for download; it can be used to localize the hMT+ in individual participants when functional localizer data are not available.
机译:准确的运动感知对于应对视觉世界不断变化的动态至关重要。一个被称为人类MT +复合体(hMT +)的簇已被确定为参与运动感知的核心区域。基于细胞结构,视网膜拓扑结构,连接性和多峰特征定义的几种图谱包括hMT +的同源物。但是,仍然缺少基于该区域对运动的响应直接定义的hMT +地图集。在这里,我们基于来自509名参与者的功能磁共振成像(fMRI)定位器数据的运动响应识别了hMT +,然后建立了hMT +概率图集。结果,揭示了四个主要发现。首先,hMT +在参与者之间显示出较大的个体差异。第二,当用于构建地图集的参与者数量超过100时,地图集趋于稳定。第三,功能性hMT +与基于细胞结构,视网膜组织和连接性构建的hMT +地图集显示出良好的一致性,表明结构-功能上的良好对应。第四,对从独立参与者,成像参数和范例获取的多个fMRI数据集进行的测试显示,在ROI分析中,功能性hMT +显示出比所有其他图集更高的灵敏度,只是左半球的连通性和多峰hMT +地图集很少能获得与功能图集。综上所述,我们的发现揭示了使用大规模功能定位器数据来构建可靠且具有代表性的hMT +地图集的好处。我们的地图集可免费下载。当没有可用的功能定位器数据时,可将其用于在单个参与者中定位hMT +。

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