Machine learning based differential diagnosis of schizophrenia, major depression disorder and bipolar disorder using structural magnetic resonance imaging
The machine learning model based on sMRI data shows promise for aiding in the differential diagnosis of SCZ, MDD, and BD. Cortical features from the cingulate and temporal lobes may highlight distinct biological mechanisms underlying each disorder.
Authors
- Peiyu Cao (ORCID: https://orcid.org/0000-0002-5032-1991)
- Runda Li (ORCID: https://orcid.org/0009-0003-1131-4515)
- Yilin Tang (ORCID: https://orcid.org/0000-0003-2819-6554)
- Jiulou Zhang (ORCID: https://orcid.org/0000-0001-5310-870X)
- Cong‐Xin Chen
- Wen Liu (ORCID: https://orcid.org/0000-0002-8415-2161)
- Yuting Li (ORCID: https://orcid.org/0000-0001-8231-4262)
- Li‐Jun Chen (ORCID: https://orcid.org/0000-0003-3360-5316)
- Guoxin Xu
- Yuxiu Sui (ORCID: https://orcid.org/0000-0002-9364-4686)
- Ye Yao
- Qi Si
- Yingbo Dong
Institutions
- Duke University (US)
- Duke Energy (United States) (US)
- Huaian First People’s Hospital (CN)
- Nanjing Brain Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
- Third People's Hospital of Huzhou (CN)
- Duke University Hospital (US)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1016/j.jad.2025.04.135
- Citations
- 4
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.72