Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging
This study demonstrated that DTI-based machine learning (ML) approaches could effectively differentiate individuals with bulimia nervosa (BN) from healthy controls (HCs), thereby providing insights into potential neurobiological markers associated with BN.
Authors
- Meiou Wang (ORCID: https://orcid.org/0000-0003-1458-074X)
- Yang Liu (ORCID: https://orcid.org/0000-0002-3678-9248)
- Jin Li (ORCID: https://orcid.org/0000-0002-9586-0315)
- Yu Wang (ORCID: https://orcid.org/0000-0002-0939-5606)
- Tao Li (ORCID: https://orcid.org/0000-0003-3831-901X)
- Jing Ma (ORCID: https://orcid.org/0000-0002-9650-2421)
- Lan Zhang (ORCID: https://orcid.org/0000-0002-9714-999X)
- Linli Zheng
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Fourth People's Hospital of Sichuan Province (CN)
- Hangzhou Seventh Peoples Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-09-10
- DOI
- https://doi.org/10.3389/fpsyt.2025.1667996
- Primary Topic
- Eating Disorders and Behaviors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Department of Science and Technology of Sichuan Province