Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-03-012 ISMRM Abstract

Differentiating MDD and PTSD through Dynamic Functional Connectivity and Machine Learning

Primary: Neuro - Psychiatric Disorders
Secondary: Brain Function and fMRI - Functional Connectivity
562-03-012 · Machine Learning in Neuroimaging · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row C
Keywords: Machine learning Independent Component Analysis Major depressive disorder Dynamic Functional Connectivity Post-Traumatic Stress Disorder
Accepted
Yiwen Ou 1,2, Jing Jiang2,3,4,5,6, Lei Li2,3,4,5,6,7, Qiyong Gong2,3,4,5,6,8,9,10,11,12,13
1Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. Address: No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, China
2Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, Psychoradiology Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
3Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
4Huaxi MR Research Center, Chengdu, Sichuan, Chengdu, China
5Psychoradiology Key Laboratory of Sichuan Province, West China Hospital of Sichuan University. Chengdu, Sichuan,China., China
6Xiamen Key Lab of Psychoradiology and Neuromodulation, Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
7Department of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
8Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
9Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
10Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging. West China Hospital of Sichuan University, Chengdu, Sichuan, China
11Department of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, Chengdu, China
12Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
13Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
Presenting Author: Yiwen Ou

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References

1. Gallo S, El-Gazzar A, Zhutovsky P, et al. Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies. Molecular Psychiatry. 2023;28(2): 1-13. DOI: 10.1038/s41380-023-01977-5 PMID: 36791713 [doi] [pmid]
2. Qin K, Lei D, Pinaya WH, et al. Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites. EBioMedicine. 2022;76:103939. DOI: 10.1016/j.ebiom.2022.103939 PMID: 35398313 [doi] [pmid]
3. Winter N, Blanke J, Leenings R, et al. A Systematic Evaluation of Machine Learning-Based Biomarkers for Major Depressive Disorder. JAMA Psychiatry. 2024;81(1): 1-12. DOI: 10.1001/jamapsychiatry.2024.0001 PMID: 38216813 [doi] [pmid]
4. Bondi E, Maggioni E, Brambilla P, Delvecchio G. A systematic review on the potential use of machine learning to classify major depressive disorder from healthy controls using resting state fMRI measures. Neurosci Biobehav Rev. 2022;140:104003. DOI: 10.1016/j.neubiorev.2022.104003 PMID: 35952713 [doi] [pmid]
5. Khan DM, Masroor K, Jailani MFM, et al. Development of Wavelet Coherence EEG as a Biomarker for Diagnosis of Major Depressive Disorder. IEEE Sensors Journal. 2022;22(5): 1-10. DOI: 10.1109/JSEN.2022.3145632 [doi]

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http://echo.ismrm.org/p/ISMRM2026/562-03-012