Subtyping Autism Spectrum Disorder With a Population Graph‐Based Dual Autoencoder: Revealing Two Distinct Biotypes
This study underscores the critical role of biotype-specific brain network patterns in understanding ASD heterogeneity. The proposed PG-DAS framework proved effective in ASD subtyping and holds promise for broader applications in exploring other neuroheterogeneous disorders.
Authors
- Wei Wang (ORCID: https://orcid.org/0000-0002-7610-0126)
- Zhangyong Li (ORCID: https://orcid.org/0000-0002-3918-069X)
- Jun Hu (ORCID: https://orcid.org/0000-0001-9355-8318)
- Xinwei Li (ORCID: https://orcid.org/0000-0003-0713-9366)
- Shuyu Li (ORCID: https://orcid.org/0000-0002-3459-6821)
- Guomei Xu
- Guohong Geng
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Army Medical University (CN)
- Chongqing University (CN)
- Beijing Normal University (CN)
- Southwest Hospital (CN)
- Chongqing Cancer Hospital (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/cns.70675
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chongqing Municipal Education Commission
- Chongqing Graduate Student Research Innovation Project