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Visual Field Coverage of Category-Selective Regions in Human Visual Cortex Estimated Using Population Receptive Field Mapping

机译:使用人口接受场映射估计的人类视觉皮层中类别选择区域的视野覆盖率

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Prior research on the position sensitivity of category selective regions has shown a coupling between face selectivity and foveal representations and place selectivity and sensitivity to the periphery (Levy 2001), as well as decreased tuning to position as one ascends the ventral stream hierarchy (Schwartzlose 2008). However, most studies have examined position sensitivity by comparing discrete locations in the visual field. We extend this prior work by using continuous retinotopic mapping and measuring population receptive fields (pRFs) in category selective regions. 12 subjects participated in an fMRI experiment that contained both a category localizer as well as retinotopic mapping using flickering checkerboard stimuli. By fitting a pRF model to each voxel, we determined the retinal position and the spatial extent of the visual field which best matched the observed BOLD response within each voxel. Then, in each individual brain we defined category-selective ROIs as well as visual field maps. Category-selective ROIs were subdivided by their intersection with visual field maps. Consistent with Aracaro et al 2009, place-selective voxels in the collateral sulcus overlap at least partially with the anterior ventral visual field maps (VO1-2; PHC1-2). pRF fits to these place-selective voxels show large receptive fields that have a strong bias towards the upper visual field and the periphery. By contrast, face-selective ROIs on the ventral surface (IOG-, pFus-, mFus-faces) did not overlap with known visual field maps, but contain pRFs that are foveally centered and their combined coverage of the visual field coverage is generally contained within the central 10�. Interestingly, pRFs in right hemisphere face selective ROIs show greater coverage of the ipsilateral visual field than those on the left, which may be related to the often-reported right hemisphere dominance for face processing in humans.
机译:先前对类别选择区域的位置敏感性的研究表明,面部选择性和中央凹表征之间的耦合以及位置选择性和对周边的敏感性之间的耦合(Levy 2001),以及随着腹侧流层次的提高,位置的调整性降低(Schwartzlose 2008) )。但是,大多数研究都是通过比较视野中的离散位置来检查位置灵敏度的。我们通过使用连续的视网膜视位图和测量类别选择区域中的人口感受野(pRFs)来扩展此先前的工作。 12名受试者参加了功能磁共振成像实验,该实验既包含类别定位器,又包含使用闪烁棋盘刺激的视网膜定位。通过将pRF模型拟合到每个体素,我们确定了与每个体素中观察到的BOLD响应最匹配的视网膜位置和视野的空间范围。然后,在每个人的大脑中,我们定义了类别选择的ROI和视野图。类别选择性ROI通过与视野图的交集细分。与Aracaro等人2009年一致,侧沟中的位置选择性体素至少部分与前腹侧视野图重叠(VO1-2; PHC1-2)。适应于这些位置选择性体素的pRF显示出较大的接受区域,这些区域对上视野和周围区域具有强烈的偏见。相比之下,腹侧表面上的脸部选择性ROI(IOG-,pFus-,mFus-faces)与已知视野图不重叠,但包含以中心凹为中心的pRF,并且通常包含其合并的视野范围在中央10ì§?内。有趣的是,右半球面部选择性ROI的pRF显示出同侧视野的覆盖范围比左侧更大,这可能与经常报道的右半球在人脸加工中的优势有关。

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