Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Cereb Cortex. 2013 Apr;23(4):947-57. doi: 10.1093/cercor/bhs091. Epub 2012 Apr 3.
Real-world visual scenes are complex cluttered, and heterogeneous stimuli engaging scene- and object-selective cortical regions including parahippocampal place area (PPA), retrosplenial complex (RSC), and lateral occipital complex (LOC). To understand the unique contribution of each region to distributed scene representations, we generated predictions based on a neuroanatomical framework adapted from monkey and tested them using minimal scenes in which we independently manipulated both spatial layout (open, closed, and gradient) and object content (furniture, e.g., bed, dresser). Commensurate with its strong connectivity with posterior parietal cortex, RSC evidenced strong spatial layout information but no object information, and its response was not even modulated by object presence. In contrast, LOC, which lies within the ventral visual pathway, contained strong object information but no background information. Finally, PPA, which is connected with both the dorsal and the ventral visual pathway, showed information about both objects and spatial backgrounds and was sensitive to the presence or absence of either. These results suggest that 1) LOC, PPA, and RSC have distinct representations, emphasizing different aspects of scenes, 2) the specific representations in each region are predictable from their patterns of connectivity, and 3) PPA combines both spatial layout and object information as predicted by connectivity.
真实世界的视觉场景是复杂的、混乱的和异质的刺激,涉及到场景和物体选择性皮质区域,包括海马旁回位置区域(PPA)、后扣带回复合体(RSC)和外侧枕叶复合体(LOC)。为了了解每个区域对分布式场景表示的独特贡献,我们基于猴子的神经解剖学框架生成了预测,并使用最小场景对其进行了测试,在这些场景中,我们独立地操纵了空间布局(开放、关闭和渐变)和物体内容(家具,例如床、梳妆台)。与后顶叶皮层的强烈连接相一致,RSC 表现出强烈的空间布局信息,但没有物体信息,其反应甚至不受物体存在的调制。相比之下,位于腹侧视觉通路内的 LOC 包含强烈的物体信息,但没有背景信息。最后,PPA 与背侧和腹侧视觉通路都有连接,显示了关于物体和空间背景的信息,并且对物体或背景的存在都很敏感。这些结果表明:1)LOC、PPA 和 RSC 具有不同的表示,强调了场景的不同方面;2)每个区域的特定表示可以从它们的连接模式中预测出来;3)PPA 结合了空间布局和物体信息,这与连接的预测一致。