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2021, The Journal of Neuroscience. DOI: 10.1523/JNEUROSCI.1449-20.2020
FFA and OFA Encode Distinct Types of Face Identity Information
Maria Tsantani , Nikolaus Kriegeskorte , Katherine Storrs , Adrian Lloyd Williams , Carolyn McGettigan , Lúcia Garrido
Abstract:
Faces of different people elicit distinct fMRI patterns in several face-selective regions of the human brain. Here we used representational similarity analysis to investigate what type of identity-distinguishing information is encoded in three face-selective regions: fusiform face area (FFA), occipital face area (OFA), and posterior superior temporal sulcus (pSTS). In a sample of 30 human participants (22 females, 8 males), we used fMRI to measure brain activity patterns elicited by naturalistic videos of famous face identities, and compared their representational distances in each region with models of the differences between identities. We built diverse candidate models, ranging from low-level image-computable properties (pixel-wise, GIST, and Gabor-Jet dissimilarities), through higher-level image-computable descriptions (OpenFace deep neural network, trained to cluster faces by identity), to complex human-rated properties (perceived similarity, social traits, and gender). We found marked differences in the information represented by the FFA and OFA. Dissimilarities between face identities in FFA were accounted for by differences in perceived similarity, Social Traits, Gender, and by the OpenFace network. In contrast, representational distances in OFA were mainly driven by differences in low-level image-based properties (pixel-wise and Gabor-Jet dissimilarities). Our results suggest that, although FFA and OFA can both discriminate between identities, the FFA representation is further removed from the image, encoding higher-level perceptual and social face information.SIGNIFICANCE STATEMENT Recent studies using fMRI have shown that several face-responsive brain regions can distinguish between different face identities. It is however unclear whether these different face-responsive regions distinguish between identities in similar or different ways. We used representational similarity analysis to investigate the computations within three brain regions in response to naturalistically varying videos of face identities. Our results revealed that two regions, the fusiform face area and the occipital face area, encode distinct identity information about faces. Although identity can be decoded from both regions, identity representations in fusiform face area primarily contained information about social traits, gender, and high-level visual features, whereas occipital face area primarily represented lower-level image features.
2022-10-31 23:23:00
#paper https://doi.org/10.1523/JNEUROSCI.1449-20.2020 FFA and OFA Encode Distinct Types of Face Identity Information 在人的大脑中有诸多加工人脸的脑区,然而,这些加工人脸的脑区各自负责加工人脸当中的什么信息呢?作者基于此点思考,对三个面孔识别区(FFA梭状回、OFA枕叶面孔加工区和pSTS颞上沟)观看不同人脸得到的fMRI数据使用表征相似性分析的方法进行分析,比较了每个脑区的表征距离和代表身份信息模型的差异,结果发现FFA和OFA所代表的信息存在显著差异。FFA中人脸身份之间的差异是由感知相似性,社会特征,性别和OpenFace网络的差异引起的。相比之下,OFA中的表征距离主要是由低级的基于图像属性的差异(像素级和Gabor-Jet差异)驱动的。也就是说,尽管FFA和OFA都可以区分身份,但FFA相比于OFA,编码更高层次的感知和社会面孔的信息。
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