Biomarkers of Suicidal Ideation in Depression: Insights From VMHC Analysis and Machine Learning
MDD patients with SI exhibit abnormal interhemispheric connectivity, with VMHC abnormalities in specific brain regions serving as potential biomarkers for suicide risk. The integration of machine learning and neuroimaging highlights the clinical relevance of VMHC as a tool for early detection and targeted intervention in suicide prevention.
Authors
- Hung‐Jen Liu (ORCID: https://orcid.org/0000-0002-1460-1494)
- Xiangyun Long
- Jiaxin Wu
- Xinyi Hu (ORCID: https://orcid.org/0000-0002-5846-1454)
- Zheng Lu
- Xinlin Wang (ORCID: https://orcid.org/0000-0002-3059-9750)
- Qiong Zhang (ORCID: https://orcid.org/0000-0002-6611-9085)
- Xiaofeng Guan
Institutions
- Tongji University (CN)
- Tongji Hospital (CN)
- Guangdong 999 Brain Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Neuropsychiatric Disease and Treatment
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/ndt.s500301
- Citations
- 2
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 4.24