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Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder

Abstract

Facial expression is impaired in autism spectrum disorder (ASD), but rarely systematically studied. We focus on the ability of individuals with ASD to produce facial expressions of emotions in response to a verbal prompt. We used the Janssen Autism Knowledge Engine (JAKE®), including automated facial expression analysis software (FACET) to measure facial expressions in individuals with ASD (n = 144) and a typically developing (TD) comparison group (n = 41). Differences in ability to produce facial expressions were observed between ASD and TD groups, demonstrated by activation of facial action units (happy, scared, surprised, disgusted, but not angry or sad). Activation of facial action units correlated with parent-reported social communication skills. This approach has potential for diagnostic and response to intervention measures.

Trial Registration NCT02299700.

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Acknowledgments

The authors thank the study participants and the following investigators for their participation in this study: Arizona Christopher J. Smith, PhD; California Bennett Leventhal, MD and Robert Hendren; Connecticut (at the time of study conduct): Frederick Shic, PhD Massachusetts Jean Frazier, MD New Jersey Yvette Janvier, MD; New York Russell Tobe, MD; North Carolina Geraldine Dawson, PhD; Pennsylvania Judith S. Miller, PhD; Washington Bryan King, MD.

Funding

This study was funded by Janssen Research & Development, LLC, USA. We acknowledge Sandra Norris, PharmD of the Norris Communications Group LLC for medical writing support, and Ellen Baum, PhD (Janssen Research & Development, LLC) for additional editorial support for the development of this manuscript.

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JM, AB, SN, NVM, FS, MG, GD, BL, RH and GP were involved in study design. FS, GD, RH, and BL were involved in data collection. DL, NVM, and JM performed the analysis. All authors were involved in interpretation of the results, drafting the manuscript, and read and approved the final manuscript. All authors had full access to all the data in the study and take responsibility for integrity of the data and the accuracy of the data analysis. All authors meet ICMJE criteria and all those who fulfilled those criteria are listed as authors.

Corresponding author

Correspondence to Joseph Manfredonia.

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Conflict of interest

Joseph Manfredonia, Abigail Bangerter, Seth Ness, David Lewin, Andrew Skalkin, Nikolay V. Manyakov and Gahan Pandina are. Robert Hendren received reimbursement for consultation from Janssen Research & Development, LLC. Matthew Goodwin has received research and consulting funding from Janssen Research & Development, LLC. Geraldine Dawson is on the Scientific Advisory Boards of Janssen Research and Development, LLC and Akili, Inc., a consultant to Roche, has received grant funding from Janssen Research and Development, L.L.C. and PerkinElmer, and receives royalties from Guildford Press and Oxford University Press. Bennett Leventhal has received research grant funding from the NIH, is a consultant to Janssen Research and Development, LLC and the Illinois Children’s Healthcare Foundation, and is a board member of the Brain Research Foundation. Frederick Shic is on the Scientific Advisory Board of and is a consultant to Janssen Research and Development, LLC, and has received grant funding from Janssen Research and Development LLC, and Roche.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Manfredonia, J., Bangerter, A., Manyakov, N.V. et al. Automatic Recognition of Posed Facial Expression of Emotion in Individuals with Autism Spectrum Disorder. J Autism Dev Disord 49, 279–293 (2019). https://doi.org/10.1007/s10803-018-3757-9

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Keywords

  • ASD
  • Emotion
  • Facial
  • Expression
  • Automated
  • FACET