Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA.
J Neurosci. 2012 Jun 20;32(25):8649-62. doi: 10.1523/JNEUROSCI.2334-11.2012.
Human inferior temporal cortex contains category-selective visual regions, including the fusiform face area (FFA) and the parahippocampal place area (PPA). These regions are defined by their greater category-average activation to the preferred category (faces and places, respectively) relative to nonpreferred categories. The approach of investigating category-average activation has left unclear to what extent category selectivity holds for individual object images. Here we investigate single-image activation profiles to address (1) whether each image from the preferred category elicits greater activation than any image outside the preferred category (categorical ranking), (2) whether there are activation differences within and outside the preferred category (gradedness), and (3) whether the activation profile falls off continuously across the category boundary or exhibits a discontinuity at the boundary (category step). We used functional magnetic resonance imaging to measure the activation elicited in the FFA and PPA by each of 96 object images from a wide range of categories, including faces and places, but also humans and animals, and natural and manmade objects. Results suggest that responses in FFA and PPA exhibit almost perfect categorical ranking, are graded within and outside the preferred category, and exhibit a category step. The gradedness within the preferred category was more pronounced in FFA; the category step was more pronounced in PPA. These findings support the idea that these regions have category-specific functions, but are also consistent with a distributed object representation emphasizing categories while still distinguishing individual images.
人类颞下回皮质包含类别选择性视觉区域,包括梭状回面孔区(FFA)和旁海马回位置区(PPA)。这些区域的定义是,与非偏好类别相比,它们对偏好类别的平均激活程度更高(分别为面孔和位置)。这种研究类别平均激活的方法不清楚类别选择性在多大程度上适用于单个物体图像。在这里,我们研究单个图像的激活模式,以解决以下问题:(1)每个来自偏好类别的图像是否比偏好类别之外的任何图像都能引起更大的激活(类别排名);(2)在偏好类别内和外是否存在激活差异(渐变);(3)激活模式是否在类别边界处连续下降或在边界处出现不连续(类别阶跃)。我们使用功能磁共振成像来测量 FFA 和 PPA 对来自广泛类别的 96 个物体图像中的每一个的激活,包括面孔和位置,但也包括人类和动物,以及自然和人造物体。结果表明,FFA 和 PPA 的反应表现出几乎完美的类别排名,在偏好类别内和外都是渐变的,并表现出类别阶跃。FFA 中偏好类别的渐变更为明显;PPA 中的类别阶跃更为明显。这些发现支持这些区域具有类别特异性功能的观点,但也与强调类别而仍区分单个图像的分布式物体表示一致。