Abstract

Rationale: Face expertise is a pivotal social skill. Developmental prosopagnosia (DP), i.e., the inability to recognize faces without a history of brain damage, affects about 2% of the general population, and is a renowned model system of the face-processing network. Within this network, the right Fusiform Face Area (FFA), is particularly involved in face identity processing and may therefore be a key element in DP. Neural representations within the FFA have been examined with Representational Similarity Analysis (RSA), a data-analytical framework in which multi-unit measures of brain activity are assessed with correlation analysis.Objectives: Our study intended to scrutinize modifications of FFA-activation during face encoding and maintenance based on RSA.Methods: Thirteen participants with DP (23–70 years) and 12 healthy control subjects (19–62 years) participated in a functional MRI study, including morphological MRI, a functional FFA-localizer and a modified Sternberg paradigm probing face memory encoding and maintenance. Memory maintenance of one, two, or four faces represented low, medium, and high memory load. We examined conventional activation differences in response to working memory load and applied RSA to compute individual correlation-matrices on the voxel level. Group correlation-matrices were compared via Donsker’s random walk analysis.Results: On the functional level, increased memory load entailed both a higher absolute FFA-activation level and a higher degree of correlation between activated voxels. Both aspects were deficient in DP. Interestingly, control participants showed a homogeneous degree of correlation for successful trials during the experiment. In DP-participants, correlation levels between FFA-voxels were significantly lower and were less sustained during the experiment. In behavioral terms, DP-participants performed poorer and had longer reaction times in relation to DP-severity. Furthermore, correlation levels were negatively correlated with reaction times for the most demanding high load condition.Conclusion: We suggest that participants with DP fail to generate robust and maintained neural representations in the FFA during face encoding and maintenance, in line with poorer task performance and prolonged reaction times. In DP, alterations of neural coding in the FFA might therefore explain curtailing in working memory and contribute to impaired long-term memory and mental imagery.

Highlights

  • Face recognition is a key skill for social interaction

  • Participants with developmental prosopagnosia (DP) showed a worse performance during the Sternberg paradigm compared to the control subjects and had longer reaction times, increasing with difficulty of the task

  • The present study examined the neural underpinnings of face processing in DP via Representational Similarity Analysis (RSA) within the right fusiform face area (FFA)

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Summary

Introduction

Face recognition is a key skill for social interaction. In developmental prosopagnosia (DP), face recognition is impaired without a history of brain damage and affects about 2% of the population (Kennerknecht et al, 2006, 2008; Bowles et al, 2009), with strong indications for heritability for the ability to recognize faces (McConachie, 1976; Duchaine et al, 2007; Kennerknecht et al, 2008, 2011).Previous studies have shown that face-processing depends on a complex network of brain modules. Duchaine and Yovel (2015) revisited and expanded the model in functional and anatomical terms They delineated the dorsal processing route parting from early visual areas via the posterior and anterior superior temporal sulcus to the inferior frontal gyrus. The ventral route comprises the occipital face area, the posterior and anterior portion of the FFA and the anterior temporal lobe, with differential role in view, identity and semantic face analysis. This model revises the hierarchy and feed-forward concept of the Haxby model and insists on a distributed network interaction.

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