July 2013
Volume 13, Issue 9
Free
Vision Sciences Society Annual Meeting Abstract  |   July 2013
Implicit facial emotion recognition in a case of cortical blindness
Author Affiliations
  • Christopher L. Striemer
    Department of Psychology, Grant MacEwan University, Edmonton, Alberta, Canada
  • Robert L. Whitwell
    The Brain and Mind Institute, The University of Western Ontario, London, Ontario, Canada
  • Melvyn A. Goodale
    The Brain and Mind Institute, The University of Western Ontario, London, Ontario, Canada
Journal of Vision July 2013, Vol.13, 585. doi:10.1167/13.9.585
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      Christopher L. Striemer, Robert L. Whitwell, Melvyn A. Goodale; Implicit facial emotion recognition in a case of cortical blindness. Journal of Vision 2013;13(9):585. doi: 10.1167/13.9.585.

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

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Abstract

Previous research has suggested that recognition of fearful faces may be carried out by pathways that bypass primary visual cortex (V1) and project to the amygdala. Some of the strongest evidence supporting this claim comes from two previous case studies of "affective blindsight" in which patients were able to correctly guess whether an unseen face was depicting a fearful or happy expression. In the current study we report a new case of affective blindsight in patient MC who is cortically blind following extensive bilateral lesions to V1 and most of her ventral stream. Despite her large lesions MC has preserved motion perception which is related to sparing of the motion sensitive region MT+ in both hemispheres.

To examine affective blindsight in MC we asked her to perform gender and emotion discrimination tasks in which she had to guess, using a two alternative forced-choice procedure, whether the face presented was male or female, or was depicting a happy vs. fearful, or a happy vs. angry expression. Finally, we also asked MC to perform a four alternative forced-choice target localization task in which she simply had to guess whether a target (a large circle) was presented on the top, bottom, left, or right of a computer screen.

Results indicated that MC was not able to determine the gender of the faces (51% accuracy), or localize targets (29%). However, MC was able to determine, at significantly above chance levels, whether the face presented was depicting a happy or fearful (67%, p=.006), or a happy or angry (64%, p=.025) expression. These data lend further support to the idea that there is a non-conscious visual pathway that bypasses V1, as well as higher-order face processing regions in the ventral stream, that is capable of processing affective signals from facial expressions.

Meeting abstract presented at VSS 2013

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