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      The neural representation of face space dimensions.

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          Abstract

          Functional neural imaging studies have identified a network of brain areas that are more active to faces than to other objects. However, it remains largely unclear how these areas encode individual facial identity. To investigate the neural representations of facial identity, we constructed a multidimensional face space structure, whose dimensions were derived from geometric information of faces using the Principal Component Analysis (PCA). Using fMRI, we recorded participants' neural responses when viewing blocks of faces that differed only on one dimension within a block. Although the response magnitudes to different blocks of faces did not differ in a univariate analysis, multi-voxel pattern analysis revealed distinct patterns related to different face space dimensions in brain areas that have a higher response magnitude to faces than to other objects. The results indicate that dimensions of the face space are encoded in the face-selective brain areas in a spatially distributed way.

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          Author and article information

          Journal
          Neuropsychologia
          Neuropsychologia
          1873-3514
          0028-3932
          Aug 2013
          : 51
          : 10
          Affiliations
          [1 ] Centre for Vision Research, York University, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3. xgao@cvr.yorku.ca
          Article
          S0028-3932(13)00228-5
          10.1016/j.neuropsychologia.2013.07.001
          23850598
          aa6d58a3-d69a-4f35-a10a-90e0d051642e
          Copyright © 2013 Elsevier Ltd. All rights reserved.
          History

          Face space dimension,Facial identity,Multi-voxel pattern analysis,PCA,fMRI

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