Abstract

What are the neural mechanisms of face recognition? It is believed that the network of face-selective areas, which spans the occipital, temporal, and frontal cortices, is important in face recognition. A number of previous studies indeed reported that face identity could be discriminated based on patterns of multivoxel activity in the fusiform face area and the anterior temporal lobe. However, given the difficulty in localizing the face-selective area in the anterior temporal lobe, its role in face recognition is still unknown. Furthermore, previous studies limited their analysis to occipito-temporal regions without testing identity decoding in more anterior face-selective regions, such as the amygdala and prefrontal cortex. In the current high-resolution functional Magnetic Resonance Imaging study, we systematically examined the decoding of the identity of famous faces in the temporo-frontal network of face-selective and adjacent non-face-selective regions. A special focus has been put on the face-area in the anterior temporal lobe, which was reliably localized using an optimized scanning protocol. We found that face-identity could be discriminated above chance level only in the fusiform face area. Our results corroborate the role of the fusiform face area in face recognition. Future studies are needed to further explore the role of the more recently discovered anterior face-selective areas in face recognition.

Highlights

  • In the current high-resolution fMRI study, we systematically explored the role of temporofrontal face-selective regions (FFA, posterior superior temporal sulcus (STS), anterior temporal lobe (ATL) face-area, amygdala, and prefrontal cortex; Fig. 1) in recognition of famous faces

  • We used a coronal slice orientation with two slabs that covered anterior temporal region ventrally with parts of the frontal lobes dorsally and mid-temporal areas ventrally with part of the parietal lobe dorsally. This slice prescription permitted to cover the whole network of face-selective regions, except for the occipital face area (OFA)

  • We presented several different images of two famous identities and used multivoxel pattern analyses (MVPA) to discover which areas can discriminate between the two famous identities

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Summary

Objectives

The goal of the current study was to systematically explore the role of face-selective areas in recognition of famous faces. The primary goal of the current study was to conduct a systematic exploration of the faceselective network with regard to discriminating face identity

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Results
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