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物体的空间属性可预测腹侧视觉通路中的神经反应模式。

Spatial properties of objects predict patterns of neural response in the ventral visual pathway.

作者信息

Watson David M, Young Andrew W, Andrews Timothy J

机构信息

Department of Psychology, York Neuroimaging Centre, University of York, York YO10 5DD, United Kingdom.

Department of Psychology, York Neuroimaging Centre, University of York, York YO10 5DD, United Kingdom.

出版信息

Neuroimage. 2016 Feb 1;126:173-83. doi: 10.1016/j.neuroimage.2015.11.043. Epub 2015 Nov 24.

DOI:10.1016/j.neuroimage.2015.11.043
PMID:26619786
Abstract

Neuroimaging studies have revealed topographically organised patterns of response to different objects in the ventral visual pathway. These patterns are thought to be based on the form of the object. However, it is not clear what dimensions of object form are important. Here, we determined the extent to which spatial properties (energy across the image) could explain patterns of response in these regions. We compared patterns of fMRI response to images from different object categories presented at different retinal sizes. Although distinct neural patterns were evident to different object categories, changing the size (and thus the spatial properties) of the images had a significant effect on these patterns. Next, we used a computational approach to determine whether more fine-grained differences in the spatial properties can explain the patterns of neural response to different objects. We found that the spatial properties of the image were able to predict patterns of neural response, even when categorical factors were removed from the analysis. We also found that the effect of spatial properties on the patterns of response varies across the ventral visual pathway. These results show how spatial properties can be an important organising principle in the topography of the ventral visual pathway.

摘要

神经影像学研究揭示了腹侧视觉通路中对不同物体的反应具有拓扑组织模式。这些模式被认为是基于物体的形状。然而,尚不清楚物体形状的哪些维度是重要的。在这里,我们确定了空间属性(图像中的能量)能够解释这些区域反应模式的程度。我们比较了功能磁共振成像(fMRI)对不同视网膜大小呈现的不同物体类别的图像的反应模式。尽管不同物体类别有明显不同的神经模式,但改变图像的大小(从而改变空间属性)对这些模式有显著影响。接下来,我们使用一种计算方法来确定空间属性中更细微的差异是否能够解释对不同物体的神经反应模式。我们发现,即使从分析中去除分类因素,图像的空间属性仍能够预测神经反应模式。我们还发现,空间属性对反应模式的影响在腹侧视觉通路中各不相同。这些结果表明空间属性如何能够成为腹侧视觉通路拓扑结构中的一个重要组织原则。

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