Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging
Bibliographic Data
| ID | 15523552 |
|---|---|
| Authors | Linli Zheng (Fourth People's Hospital of Sichuan Province), Yu Wang (0009-0005-4222-2626, West China Hospital of Sichuan University), Jing Ma (0000-0002-3306-8525, West China Hospital of Sichuan University), Ma Jing, Meiou Wang (0000-0003-1458-074X, West China Hospital of Sichuan University), Yang Liu (0000-0003-1220-7044, Sichuan University), Jin Li (0000-0001-9004-715X, Sichuan University), Tao Li (0000-0001-7895-4136), Lan Zhang (0000-0002-2162-3333, Sichuan University, corresponding author) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1667996-1667996 |
| Publication date | 2025-09-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1667996 |
| PMID | 41000351 |
| OpenAlex | W4414086485 |
| Language | EN |
| References cited | 26 |
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
Bulimia nervosa · Diffusion MRI · Pattern recognition (psychology · Support vector machine · Tensor (intrinsic definition · Advanced Neuroimaging Techniques and Applications · Eating Disorders and Behaviors · Functional Brain Connectivity Studies
| Citation velocity | historical |
|---|---|
| Highly cited | No |