Can micro-expressions be used as a biomarker for autism spectrum disorder?
Our research has provided a cautious evaluation of micro-expression diagnostic value, underscoring the need for advancements in behavioral imaging and multimodal AI technology to leverage the full capabilities of ML in an ASD-specific clinical context.
Authors
- Lynn K. Paul (ORCID: https://orcid.org/0000-0002-3128-8313)
- Chuanbo Hu (ORCID: https://orcid.org/0000-0003-1165-5005)
- Shuo Wang (ORCID: https://orcid.org/0000-0003-2562-0225)
- Mindi Ruan (ORCID: https://orcid.org/0000-0002-7931-500X)
- Paula Webster (ORCID: https://orcid.org/0000-0002-6289-894X)
- Xin Li (ORCID: https://orcid.org/0000-0003-2067-2763)
- Na Zhang (ORCID: https://orcid.org/0000-0002-8845-5055)
- Wenqi Li (ORCID: https://orcid.org/0000-0003-3726-343X)
- Xiangxu Yu (ORCID: https://orcid.org/0000-0002-2710-2969)
Institutions
- West Virginia University (US)
- California Institute of Technology (US)
- Washington University in St. Louis (US)
- University at Albany, State University of New York (US)
Publication Details
- Journal
- Frontiers in Neuroinformatics
- Published
- 2024-10-03
- DOI
- https://doi.org/10.3389/fninf.2024.1435091
- Citations
- 4
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- National Science Foundation
- West Virginia University
- University at Albany