Multi-voxel pattern analysis (MVPA) reveals abnormal fMRI activity in both the core and extended face network in congenital prosopagnosia

• Main Authors: Davide eRivolta, Alexandra eWoolgar, Romina ePalermo, Marina eButko, Laura eSchmalzl, Mark A Williams
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2014-11-01
• Series: Frontiers in Human Neuroscience
• Subjects: Prosopagnosia; fMRI; face perception; object perception; Body perception; multivariate analysis
• Online Access: http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00925/full

The ability to identify faces is mediated by a network of cortical and subcortical brain regions in humans. It is still a matter of debate which regions represent the functional substrate of congenital prosopagnosia (CP), a condition characterized by a lifelong impairment in face recognition, and affecting around 2.5% of the general population. Here, we used functional Magnetic Resonance Imaging (fMRI) to measure neural responses to faces, objects, bodies and body-parts in a group of seven CPs and ten healthy control participants. Using multi-voxel pattern analysis (MVPA) of the fMRI data we demonstrate that neural activity within the core (i.e., occipital face area and fusiform face area) and extended (i.e., anterior temporal cortex) face regions in CPs showed reduced discriminability between faces and objects. Reduced differentiation between faces and objects in CP was also seen in the right parahippocampal cortex. In contrast, discriminability between faces and bodies/body-parts and objects and bodies/body-parts across the ventral visual system was typical in CPs. In addition to MVPA analysis, we also ran traditional mass-univariate analysis, which failed to show any group differences in face and object discriminability. In sum, these findings demonstrate (i) face-object representations impairments in CP which encompass both the core and extended face regions, and (ii) superior power of MVPA in detecting group differences.