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Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults
BACKGROUND: It is unclear whether atypical patterns of facial expression production metrics in autism reflect the dynamic and nuanced nature of facial expressions across people or a true diagnostic difference. Furthermore, the heterogeneity observed across autism symptomatology suggests a need for m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342940/ https://www.ncbi.nlm.nih.gov/pubmed/35915404 http://dx.doi.org/10.1186/s11689-022-09451-z |
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author | Quinde-Zlibut, Jennifer Munshi, Anabil Biswas, Gautam Cascio, Carissa J. |
author_facet | Quinde-Zlibut, Jennifer Munshi, Anabil Biswas, Gautam Cascio, Carissa J. |
author_sort | Quinde-Zlibut, Jennifer |
collection | PubMed |
description | BACKGROUND: It is unclear whether atypical patterns of facial expression production metrics in autism reflect the dynamic and nuanced nature of facial expressions across people or a true diagnostic difference. Furthermore, the heterogeneity observed across autism symptomatology suggests a need for more adaptive and personalized social skills programs. Towards this goal, it would be useful to have a more concrete and empirical understanding of the different expressiveness profiles within the autistic population and how they differ from neurotypicals. METHODS: We used automated facial coding and an unsupervised clustering approach to limit inter-individual variability in facial expression production that may have otherwise obscured group differences in previous studies, allowing an “apples-to-apples” comparison between autistic and neurotypical adults. Specifically, we applied k-means clustering to identify subtypes of facial expressiveness in an autism group (N = 27) and a neurotypical control group (N = 57) separately. The two most stable clusters from these analyses were then further characterized and compared based on their expressiveness and emotive congruence to emotionally charged stimuli. RESULTS: Our main finding was that a subset of autistic adults in our sample show heightened spontaneous facial expressions irrespective of image valence. We did not find evidence for greater incongruous (i.e., inappropriate) facial expressions in autism. Finally, we found a negative trend between expressiveness and emotion recognition within the autism group. CONCLUSION: The results from our previous study on self-reported empathy and current expressivity findings point to a higher degree of facial expressions recruited for emotional resonance in autism that may not always be adaptive (e.g., experiencing similar emotional resonance regardless of valence). These findings also build on previous work indicating that facial expression intensity is not diminished in autism and suggest the need for intervention programs to focus on emotion recognition and social skills in the context of both negative and positive emotions. |
format | Online Article Text |
id | pubmed-9342940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93429402022-08-02 Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults Quinde-Zlibut, Jennifer Munshi, Anabil Biswas, Gautam Cascio, Carissa J. J Neurodev Disord Research BACKGROUND: It is unclear whether atypical patterns of facial expression production metrics in autism reflect the dynamic and nuanced nature of facial expressions across people or a true diagnostic difference. Furthermore, the heterogeneity observed across autism symptomatology suggests a need for more adaptive and personalized social skills programs. Towards this goal, it would be useful to have a more concrete and empirical understanding of the different expressiveness profiles within the autistic population and how they differ from neurotypicals. METHODS: We used automated facial coding and an unsupervised clustering approach to limit inter-individual variability in facial expression production that may have otherwise obscured group differences in previous studies, allowing an “apples-to-apples” comparison between autistic and neurotypical adults. Specifically, we applied k-means clustering to identify subtypes of facial expressiveness in an autism group (N = 27) and a neurotypical control group (N = 57) separately. The two most stable clusters from these analyses were then further characterized and compared based on their expressiveness and emotive congruence to emotionally charged stimuli. RESULTS: Our main finding was that a subset of autistic adults in our sample show heightened spontaneous facial expressions irrespective of image valence. We did not find evidence for greater incongruous (i.e., inappropriate) facial expressions in autism. Finally, we found a negative trend between expressiveness and emotion recognition within the autism group. CONCLUSION: The results from our previous study on self-reported empathy and current expressivity findings point to a higher degree of facial expressions recruited for emotional resonance in autism that may not always be adaptive (e.g., experiencing similar emotional resonance regardless of valence). These findings also build on previous work indicating that facial expression intensity is not diminished in autism and suggest the need for intervention programs to focus on emotion recognition and social skills in the context of both negative and positive emotions. BioMed Central 2022-08-01 /pmc/articles/PMC9342940/ /pubmed/35915404 http://dx.doi.org/10.1186/s11689-022-09451-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Quinde-Zlibut, Jennifer Munshi, Anabil Biswas, Gautam Cascio, Carissa J. Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
title | Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
title_full | Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
title_fullStr | Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
title_full_unstemmed | Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
title_short | Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
title_sort | identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342940/ https://www.ncbi.nlm.nih.gov/pubmed/35915404 http://dx.doi.org/10.1186/s11689-022-09451-z |
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