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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Functional subdomains within human FFA
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Functional subdomains within human FFA

机译：人类FFA中的功能子域

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摘要

The fusiform face area (FFA) is a well-studied human brain region that shows strong activation for faces. In functional MRI studies, FFA is often assumed to be a homogeneous collection of voxels with similar visual tuning. To test this assumption, we used natural movies and a quantitative voxelwise modeling and decoding framework to estimate category tuning profiles for individual voxels within FFA. We find that the responses in most FFA voxels are strongly enhanced by faces, as reported in previous studies. However, we also find that responses of individual voxels are selectively enhanced or suppressed by a wide variety of other categories and that these broader tuning profiles differ across FFA voxels. Cluster analysis of category tuning profiles across voxels reveals three spatially segregated functional subdomains within FFA. These subdomains differ primarily in their responses for nonface categories, such as animals, vehicles, and communication verbs. Furthermore, this segregation does not depend on the statistical threshold used to define FFA from responses to functional localizers. These results suggest that voxels within FFA represent more diverse information about object and action categories than generally assumed.
机译：梭形脸部区域（FFA）是经过充分研究的人脑区域，显示出对脸部的强烈激活。在功能性MRI研究中，通常将FFA假定为具有相似视觉调整的同质体素集合。为了测试此假设，我们使用了自然电影以及定量的三维像素建模和解码框架来估计FFA中各个三维像素的类别调整配置文件。我们发现，大多数FFA体素的反应都可以通过脸部得到明显增强，如先前的研究报道。但是，我们还发现，各种其他类别有选择地增强或抑制了单个体素的响应，并且这些更广泛的调整曲线在FFA体素之间也有所不同。跨体素的类别调整配置文件的聚类分析揭示了FFA中三个空间分隔的功能子域。这些子域的主要区别在于对非人脸类别（例如动物，车辆和交流动词）的响应。此外，这种隔离不取决于用于根据对功能定位器的响应来定义FFA的统计阈值。这些结果表明，FFA中的体素表示的对象和动作类别的信息比一般假定的要多样化。

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