Abstract

Although different brain regions are widely considered to be involved in the recognition of facial identity and expression, it remains unclear how these regions process different properties of the visual image. Here, we ask how surface-based reflectance information and edge-based shape cues contribute to the perception and neural representation of facial identity and expression. Contrast-reversal was used to generate images in which normal contrast relationships across the surface of the image were disrupted, but edge information was preserved. In a behavioural experiment, contrast-reversal significantly attenuated judgements of facial identity, but only had a marginal effect on judgements of expression. An fMR-adaptation paradigm was then used to ask how brain regions involved in the processing of identity and expression responded to blocks comprising all normal, all contrast-reversed, or a mixture of normal and contrast-reversed faces. Adaptation in the posterior superior temporal sulcus – a region directly linked with processing facial expression – was relatively unaffected by mixing normal with contrast-reversed faces. In contrast, the response of the fusiform face area – a region linked with processing facial identity – was significantly affected by contrast-reversal. These results offer a new perspective on the reasons underlying the neural segregation of facial identity and expression in which brain regions involved in processing invariant aspects of faces, such as identity, are very sensitive to surface-based cues, whereas regions involved in processing changes in faces, such as expression, are relatively dependent on edge-based cues.

Highlights

  • Models of human face perception suggest that facial identity and expression are processed along two different neural pathways (Bruce and Young, 1986, 2012; Haxby et al, 2000)

  • Central to understanding this neural segregation of analyses of identity and expression is the question of the extent to which it may be driven by visual properties of faces themselves

  • The aim of this study was to determine the contribution of image properties to the coding of faces in brain regions previously thought to be involved in the perception of facial identity and expression

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Summary

Introduction

Models of human face perception suggest that facial identity and expression are processed along two different neural pathways (Bruce and Young, 1986, 2012; Haxby et al, 2000). A region in the fusiform gyrus, the fusiform face area (FFA), is considered to be important for the representation of facial characteristics that are important for recognition (Davies-Thompson et al, 2013; Grill-Spector et al, 2004; Rotshtein et al, 2005) Central to understanding this neural segregation of analyses of identity and expression is the question of the extent to which it may be driven by visual properties of faces themselves (Calder and Young, 2005). Bruce and Young (1998) drew attention to the fact that any facial image consists of a set of edges created by abrupt changes in reflectance that define the shapes and positions of facial features and a broader pattern of surface pigmentation resulting from local changes in the reflectance properties of the skin These properties of shape and pigmentation may contribute differentially to the perception of identity and expression. These properties of shape and pigmentation may contribute differentially to the perception of identity and expression. Bruce and Young (1998) suggested that feature shapes (i.e. edge-based information) may be critical for perceiving facial expressions, with surface pigmentation being relatively important to identity

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