September 2017
Volume 17, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2017
Neurodynamics of expression coding in human fusiform
Author Affiliations
  • Yuanning Li
    Program in Neural Computation, Carnegie Mellon University
    Center for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh
  • Michael Ward
    Department of Neurological Surgery, School of Medicine, University of Pittsburgh
  • Witold Lipski
    Department of Neurological Surgery, School of Medicine, University of Pittsburgh
  • R. Richardson
    Center for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh
    Department of Neurological Surgery, School of Medicine, University of Pittsburgh
  • Avniel Ghuman
    Program in Neural Computation, Carnegie Mellon University
    Center for the Neural Basis of Cognition, Carnegie Mellon University and University of Pittsburgh
Journal of Vision August 2017, Vol.17, 821. doi:10.1167/17.10.821
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      Yuanning Li, Michael Ward, Witold Lipski, R. Richardson, Avniel Ghuman; Neurodynamics of expression coding in human fusiform. Journal of Vision 2017;17(10):821. doi: 10.1167/17.10.821.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Face processing is mediated by a network involving multiple distributed areas in the brain, with the occipital face area (OFA), fusiform face area (FFA), and posterior superior temporal sulcus (pSTS) considered the core nodes of the network. Results suggest that OFA is primarily involved in early perception of facial features, FFA is mainly involved in the processing of the static aspects of faces, and pSTS is mainly involved in the processing of the dynamic aspects of faces. Based on these results, the first models of the neural basis of face processing posited that pSTS codes for expression and FFA codes for identity. Recently, several neuroimaging studies have suggested that the FFA is involved in the processing of facial expressions and recent models have posited that the FFA is involved in structural encoding of face expression. To mediate between these hypotheses, we recorded intracranial electroencephalography (iEEG) data from 19 patients with electrodes in the OFA, FFA, and/or pSTS during face expression perception. Using pattern classification techniques, our results confirmed the existence of facial expression encoding in the fusiform area. At the early stage of visual information processing (100-250 ms after stimulus onset), neural activity from posterior fusiform area contains facial expression information; and at the late stage of visual processing (250-450 ms after stimulus onset), neural activity from anterior fusiform area contains facial expression information. In addition, facial expression information is seen in OFA and pSTS at the early stage of the process. Notably, the effect size of fusiform encoding of facial expressions is much smaller than the encoding for facial identity. Taken together, these results suggest that fusiform activity may contribute to the representation of the structural difference between facial expressions, and the posterior and anterior fusiform are dynamically involved in distinct stages of facial information processing.

Meeting abstract presented at VSS 2017

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