M3ASD: Integrating Multi-Atlas and Multi-Center Data via Multi-View Low-Rank Graph Structure Learning for Autism Spectrum Disorder Diagnosis
The proposed method was validated using the publicly available Autism Brain Imaging Data Exchange (ABIDE) dataset. Experimental results demonstrate that the M<sup>3</sup>ASD method not only improves ASD diagnostic accuracy but also identifies common functional brain connections across atlases, thereby enhancing the interpretability of the method.
Authors
- Yue Ma (ORCID: https://orcid.org/0000-0001-9473-8935)
- Shuo Huang (ORCID: https://orcid.org/0000-0003-2372-3773)
- Zuohao Yin (ORCID: https://orcid.org/0009-0006-9283-7175)
- Meiling Wang (ORCID: https://orcid.org/0000-0001-6569-2798)
- Li Zhang (ORCID: https://orcid.org/0000-0002-4097-1501)
- Shuo Yang (ORCID: https://orcid.org/0009-0001-0963-5737)
Institutions
- Nanjing Forestry University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Jiangsu Vocational College of Medicine (CN)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-10-23
- DOI
- https://doi.org/10.3390/brainsci15111136
- Citations
- 2
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 2.86