Changes in the perceived size of the body following exposure to distorted self-body images.

adaptation body perception body representation multisensory integration perceptual size distortion visual system

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 12 05 2021
accepted: 22 03 2022
entrez: 25 4 2022
pubmed: 26 4 2022
medline: 26 4 2022
Statut: epublish

Résumé

Inaccurate perceptions, such as under- or over-estimation of body size are often found in clinical eating disorder populations but have recently been shown also in healthy people. However, it is not yet clear how body size perception may be affected when the internal body representation is manipulated. In this study, visual adaptation was used to investigate whether exposure to distorted visual feedback alters the representation of body size and how long any such effects might last. Participants were exposed for five minutes to a distorted life-size image of themselves that was either 20% wider or 20% narrower than their normal size. Accuracy was measured using our novel psychophysical method that taps into the implicit body representation. The accuracy of the representation was assessed at 6, 12 and 18 min following exposure to adaptation. Altered visual feedback caused changes in participants' judgements of their body size: adapting to a wider body resulted in size overestimation whereas underestimations occurred after adapting to a narrower body. These distortions lasted throughout testing and did not fully return back to normal within 18 min. The results are discussed in terms of the emerging literature indicating that the internal representation of the body is dynamic and flexible.

Identifiants

pubmed: 35462776
doi: 10.1098/rsos.210722
pii: rsos210722
pmc: PMC9019518
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5952717']

Types de publication

Journal Article

Langues

eng

Pagination

210722

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

We declare we have no competing interests.

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Auteurs

Sarah D'Amour (S)

Centre for Vision Research, York University, Toronto, Canada.

Deborah Alexe (D)

Centre for Vision Research, York University, Toronto, Canada.

Laurence R Harris (LR)

Centre for Vision Research, York University, Toronto, Canada.

Classifications MeSH