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Training face perception in developmental prosopagnosia through perceptual learning

Sherryse L. Corrow, Jodie Davies-Thompson Orcid Logo, Kimberley Fletcher, Charlotte Hills, Jeffrey C. Corrow, Jason J.S. Barton

Neuropsychologia, Volume: 134, Start page: 107196

Swansea University Author: Jodie Davies-Thompson Orcid Logo

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DOI (Published version): 10.1016/j.neuropsychologia.2019.107196

Abstract

Background: Recent work has shown that perceptual learning can improve face discrimination in subjects with acquired prosopagnosia. Objective: In this study, we administered the same program to determine if such training would improve face perception in developmental prosopagnosia.Method: We trained...

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Published in: Neuropsychologia
ISSN: 0028-3932
Published: Elsevier BV 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa52551
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spelling 2019-10-23T14:05:19.8293258 v2 52551 2019-10-23 Training face perception in developmental prosopagnosia through perceptual learning 0f228cbf8dfc2a66ab1ec4548cfbcd3b 0000-0002-9355-4306 Jodie Davies-Thompson Jodie Davies-Thompson true false 2019-10-23 HPS Background: Recent work has shown that perceptual learning can improve face discrimination in subjects with acquired prosopagnosia. Objective: In this study, we administered the same program to determine if such training would improve face perception in developmental prosopagnosia.Method: We trained ten subjects with developmental prosopagnosia for several months with a program that required shape discrimination between morphed facial images, using a staircase procedure to keep training near each subject’s perceptual threshold. To promote ecological validity, training progressed from blocks of neutral faces in frontal view through increasing variations in view and expression. Five subjects did 11 weeks of a control television task before training, and the other five were re-assessed for maintenance of benefit 3 months after training. Results: Perceptual sensitivity for faces improved after training but did not improve after the control task. Improvement generalized to untrained expressions and views of these faces, and there was some evidence of transfer to new faces. Benefits were maintained over three months. Training also led to improvements on standard neuropsychological tests of short-term familiarity, and some subjects reported positive effects in daily life.Conclusion: We conclude that perceptual learning can lead to persistent improvements in face discrimination in developmental prosopagnosia. The strong generalization suggests that learning is occurring at the level of three-dimensional representations with some invariance for the dynamic effects of expression. Journal Article Neuropsychologia 134 107196 Elsevier BV 0028-3932 Face recognition, Vision, Development, Rehabilitation 1 11 2019 2019-11-01 10.1016/j.neuropsychologia.2019.107196 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University 2019-10-23T14:05:19.8293258 2019-10-23T14:05:19.8293258 Sherryse L. Corrow 1 Jodie Davies-Thompson 0000-0002-9355-4306 2 Kimberley Fletcher 3 Charlotte Hills 4 Jeffrey C. Corrow 5 Jason J.S. Barton 6 52551__15759__6935b05e2bbd468797a3f3b7bc81948f.pdf FaceTrainingDP_SC.pdf 2019-10-31T11:48:10.3571827 Output 5701525 application/pdf Accepted Manuscript true 2020-09-19T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Training face perception in developmental prosopagnosia through perceptual learning
spellingShingle Training face perception in developmental prosopagnosia through perceptual learning
Jodie Davies-Thompson
title_short Training face perception in developmental prosopagnosia through perceptual learning
title_full Training face perception in developmental prosopagnosia through perceptual learning
title_fullStr Training face perception in developmental prosopagnosia through perceptual learning
title_full_unstemmed Training face perception in developmental prosopagnosia through perceptual learning
title_sort Training face perception in developmental prosopagnosia through perceptual learning
author_id_str_mv 0f228cbf8dfc2a66ab1ec4548cfbcd3b
author_id_fullname_str_mv 0f228cbf8dfc2a66ab1ec4548cfbcd3b_***_Jodie Davies-Thompson
author Jodie Davies-Thompson
author2 Sherryse L. Corrow
Jodie Davies-Thompson
Kimberley Fletcher
Charlotte Hills
Jeffrey C. Corrow
Jason J.S. Barton
format Journal article
container_title Neuropsychologia
container_volume 134
container_start_page 107196
publishDate 2019
institution Swansea University
issn 0028-3932
doi_str_mv 10.1016/j.neuropsychologia.2019.107196
publisher Elsevier BV
document_store_str 1
active_str 0
description Background: Recent work has shown that perceptual learning can improve face discrimination in subjects with acquired prosopagnosia. Objective: In this study, we administered the same program to determine if such training would improve face perception in developmental prosopagnosia.Method: We trained ten subjects with developmental prosopagnosia for several months with a program that required shape discrimination between morphed facial images, using a staircase procedure to keep training near each subject’s perceptual threshold. To promote ecological validity, training progressed from blocks of neutral faces in frontal view through increasing variations in view and expression. Five subjects did 11 weeks of a control television task before training, and the other five were re-assessed for maintenance of benefit 3 months after training. Results: Perceptual sensitivity for faces improved after training but did not improve after the control task. Improvement generalized to untrained expressions and views of these faces, and there was some evidence of transfer to new faces. Benefits were maintained over three months. Training also led to improvements on standard neuropsychological tests of short-term familiarity, and some subjects reported positive effects in daily life.Conclusion: We conclude that perceptual learning can lead to persistent improvements in face discrimination in developmental prosopagnosia. The strong generalization suggests that learning is occurring at the level of three-dimensional representations with some invariance for the dynamic effects of expression.
published_date 2019-11-01T04:04:58Z
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score 11.036706

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