Bainbridge Wilma Alice, Oliva Aude
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA.
Neuroimage. 2015 Nov 15;122:408-16. doi: 10.1016/j.neuroimage.2015.07.066. Epub 2015 Jul 30.
While several cortical regions have been highlighted for their category selectivity (e.g., scene-selective regions like the parahippocampal place area, object selective regions like the lateral occipital complex), a growing trend in cognitive neuroscience has been to investigate what particular perceptual properties these regions calculate. Classical scene-selective regions have been particularly targeted in recent work as being sensitive to object size or other related properties. Here we test to which extent these regions are sensitive to spatial information of stimuli at any size. We introduce the spatial object property of "interaction envelope," defined as the space through which a user transverses to interact with an object. In two functional magnetic resonance imaging experiments, we examined activity in a comprehensive set of perceptual regions of interest for when human participants viewed object images varying along the dimensions of interaction envelope and physical size. Importantly, we controlled for confounding perceptual and semantic object properties. We find that scene-selective regions are in fact sensitive to object interaction envelope for small, manipulable objects regardless of real-world size and task. Meanwhile, small-scale entity regions maintain selectivity to stimulus physical size. These results indicate that regions traditionally associated with scene processing may not be solely sensitive to larger object and scene information, but instead are calculating local spatial information of objects and scenes of all sizes.
虽然几个皮质区域因其类别选择性而受到关注(例如,海马旁回区域等场景选择性区域,枕外侧复合体等物体选择性区域),但认知神经科学中一个日益增长的趋势是研究这些区域计算的具体感知属性。经典的场景选择性区域在最近的研究中特别受到关注,因为它们对物体大小或其他相关属性敏感。在这里,我们测试这些区域对任何大小刺激的空间信息的敏感程度。我们引入了“交互包络”的空间物体属性,定义为用户与物体交互时穿过的空间。在两项功能磁共振成像实验中,当人类参与者观看沿交互包络和物理大小维度变化的物体图像时,我们检查了一组全面的感兴趣感知区域的活动。重要的是,我们控制了混淆的感知和语义物体属性。我们发现,对于小的、可操作的物体,场景选择性区域实际上对物体交互包络敏感,而与现实世界大小和任务无关。同时,小规模实体区域对刺激的物理大小保持选择性。这些结果表明,传统上与场景处理相关的区域可能不仅对较大的物体和场景信息敏感,而且还在计算各种大小物体和场景的局部空间信息。