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  Decoding categories shared by the face and body

Foster, C., Zhao, M., Romero, J., Black, M. J., Mohler, B. J., & Bartels, A. (2017). Decoding categories shared by the face and body. Poster presented at 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017), Schramberg, Germany.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-00CF-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-00D0-3
Genre: Poster

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http://blog.neuromag.net/nena2017.html (Any fulltext)
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 Creators:
Foster, Celia1, 2, Author              
Zhao, Mintao1, 2, Author              
Romero, Javier3, Author              
Black, Michael J.3, Author              
Mohler, Betty J2, 4, Author              
Bartels, Andreas2, 5, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
4Research Group Space and Body Perception, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528693              
5Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Abstract: Humans can easily categorize images of human bodies and faces according to their sex/gender and weight. Objectively speaking this is a difficult task due to categoryindependent variability in image size, lighting, facial expression and body pose. We investigated which brain regions code for the sex and weight of faces and bodies, and whether the representations would be face- or body-selective. We used fMRI to record the brain activity of subjects viewing faces and bodies that varied in sex, weight, and image size (factor 2). Using multivoxel pattern analyses, we found that the extrastriate body area (EBA), fusiform body area (FBA) and occipital face area (OFA) consistently discriminated bodies of different sexes, including in a cross-classification analysis where training and test data were based on different stimulus sizes. Body weight could be decoded in OFA and FFA, size-invariantly in the latter. When voxels of body-regions were pooled, the sex and weight of bodies could be decoded invariant with respect to image size. No region consistently decoded the sex or weight of faces, nor did facerelated decoding work when voxels were pooled across face- or body-selective regions. We hypothesize that this may be due to the fact that neither weight nor sex appeared very prominently in controlled face stimuli used here (e.g. excluding hair). We conclude that information relating to the body categories sex and weight is found in both body and face responsive brain regions, but that size-invariant information is mostly located in body responsive regions.

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 Dates: 2017-10-16
 Publication Status: Published in print
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Title: 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017)
Place of Event: Schramberg, Germany
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Title: 18th Conference of Junior Neuroscientists of Tübingen (NeNa 2017)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 24 - 24 Identifier: -