Beyond the FFA: Brain-behavior correspondences in face recognition abilities
Beyond the FFA: Brain-behavior correspondences in face recognition abilities
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DOI：
10.1016/j.neuroimage.2016.12.042
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发表时间：
2017-02-15
期刊：
影响因子：
5.7
通讯作者：
Scherf, Suzanne
中科院分区：
文献类型：
--
作者：
Elbich, Daniel B.;Scherf, Suzanne
尽管有数千篇论文研究了人类和非人类灵长类动物的面部感知的神经基础，但人们对这种神经结构的激活与面部处理行为的关系知之甚少。在这里，我们研究了正常发育的健康成年人在面部处理系统的核心区域和扩展区域内脑行为对应的个体差异。为此，我们采用了一套行为和神经测量方法，以从多方面的角度来评估这些大脑-行为关系。这包括量化面部和物体识别行为，每个区域内功能激活的幅度和大小，以及跨区域的整体激活的测量。我们报告说，人脸而非物体识别行为与(1)左侧FFA中人脸选择激活的大小有关。(2)双侧梭状回多个面部斑块、双侧颞叶前部和杏仁核中与面部相关的区域更大；(3)全局面部网络激活分布更广。相比之下，面部识别行为与物体或地点选择激活的任何测量都没有关联。这些发现表明，优越的行为是通过参与足够大的、分布的神经区域来实现的，这可能反映了独立神经元群体的整合，从而能够形成更丰富的表征。
Despite the thousands of papers investigating the neural basis of face perception in both humans and non-human primates, very little is known about how activation within this neural architecture relates to face processing behavior. Here, we investigated individual differences in brain-behavior correspondences within both core and extended regions of the face-processing system in healthy typically developing adults. To do so, we employed a set of behavioral and neural measures to capture a multifaceted perspective on assessing these brain-behavior relations. This included quantifying face and object recognition behavior, the magnitude and size of functional activation within each region, as well as a measure of global activation across regions. We report that face, but not object, recognition behavior was associated with I) the magnitude of face-selective activation in the left FFA]., 2) larger face-related regions in multiple bilateral face-patches in the fusiform gyri as well as the bilateral anterior temporal lobe and amygdala, and 3) more distributed global face-network activation. In contrast, face recognition behavior was not associated with any measure of object- or place-selective activation. These findings suggest that superior behavior is served by engaging sufficiently large, distributed patches of neural real estate, which might reflect the integration of independent populations of neurons that enables the formation of richer representations.