Separated and overlapping neural coding of face and body identity

Foster, Celia, Zhao, Mintao, Bolkart, Timo, Black, Michael, Bartels, Andreas and Bülthoff, Isabelle (2021) Separated and overlapping neural coding of face and body identity. Human Brain Mapping, 42 (13). pp. 4242-4260. ISSN 1065-9471

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Abstract

Recognising a person's identity often relies on face and body information, and is tolerant to changes in low-level visual input (e.g., viewpoint changes). Previous studies have suggested that face identity is disentangled from low-level visual input in the anterior face-responsive regions. It remains unclear which regions disentangle body identity from variations in viewpoint, and whether face and body identity are encoded separately or combined into a coherent person identity representation. We trained participants to recognise three identities, and then recorded their brain activity using fMRI while they viewed face and body images of these three identities from different viewpoints. Participants' task was to respond to either the stimulus identity or viewpoint. We found consistent decoding of body identity across viewpoint in the fusiform body area, right anterior temporal cortex, middle frontal gyrus and right insula. This finding demonstrates a similar function of fusiform and anterior temporal cortex for bodies as has previously been shown for faces, suggesting these regions may play a general role in extracting high-level identity information. Moreover, we could decode identity across fMRI activity evoked by faces and bodies in the early visual cortex, right inferior occipital cortex, right parahippocampal cortex and right superior parietal cortex, revealing a distributed network that encodes person identity abstractly. Lastly, identity decoding was consistently better when participants attended to identity, indicating that attention to identity enhances its neural representation. These results offer new insights into how the brain develops an abstract neural coding of person identity, shared by faces and bodies.

Item Type:	Article
Uncontrolled Keywords:	fba,body recognition,face recognition,identity,viewpoint,anatomy,radiological and ultrasound technology,radiology nuclear medicine and imaging,neurology,clinical neurology ,/dk/atira/pure/subjectarea/asjc/2700/2702
Faculty \ School:	Faculty of Social Sciences > School of Psychology
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	22 May 2021 00:07
Last Modified:	23 Oct 2022 02:28
URI:	https://ueaeprints.uea.ac.uk/id/eprint/80067
DOI:	10.1002/hbm.25544

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