Kamps Frederik S, Julian Joshua B, Kubilius Jonas, Kanwisher Nancy, Dilks Daniel D
Department of Psychology, Emory University, Atlanta, GA 30322, USA.
Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Neuroimage. 2016 May 15;132:417-424. doi: 10.1016/j.neuroimage.2016.02.062. Epub 2016 Feb 27.
Neuroimaging studies have identified three scene-selective regions in human cortex: parahippocampal place area (PPA), retrosplenial complex (RSC), and occipital place area (OPA). However, precisely what scene information each region represents is not clear, especially for the least studied, more posterior OPA. Here we hypothesized that OPA represents local elements of scenes within two independent, yet complementary scene descriptors: spatial boundary (i.e., the layout of external surfaces) and scene content (e.g., internal objects). If OPA processes the local elements of spatial boundary information, then it should respond to these local elements (e.g., walls) themselves, regardless of their spatial arrangement. Indeed, we found that OPA, but not PPA or RSC, responded similarly to images of intact rooms and these same rooms in which the surfaces were fractured and rearranged, disrupting the spatial boundary. Next, if OPA represents the local elements of scene content information, then it should respond more when more such local elements (e.g., furniture) are present. Indeed, we found that OPA, but not PPA or RSC, responded more to multiple than single pieces of furniture. Taken together, these findings reveal that OPA analyzes local scene elements - both in spatial boundary and scene content representation - while PPA and RSC represent global scene properties.
海马旁回位置区(PPA)、压后复合体(RSC)和枕叶位置区(OPA)。然而,每个区域具体代表什么场景信息尚不清楚,尤其是对于研究最少、位置更靠后的OPA。在这里,我们假设OPA在两个独立但互补的场景描述符中代表场景的局部元素:空间边界(即外部表面的布局)和场景内容(例如内部物体)。如果OPA处理空间边界信息的局部元素,那么它应该对这些局部元素(例如墙壁)本身做出反应,而不管它们的空间排列如何。事实上,我们发现OPA,而不是PPA或RSC,对完整房间的图像以及表面被打碎并重新排列从而破坏空间边界的相同房间的图像有相似的反应。接下来,如果OPA代表场景内容信息的局部元素,那么当存在更多这样的局部元素(例如家具)时,它应该有更强的反应。事实上,我们发现OPA,而不是PPA或RSC,对多件家具的反应比对单件家具的反应更强。综上所述,这些发现表明,OPA分析局部场景元素——在空间边界和场景内容表示方面——而PPA和RSC代表全局场景属性。