Prediction of Depression Risk in Clinical Treatment
About the dataset
Primary description: Depression treatment prediction
The study is part of the COORDINATE-MDD consortium. For more information, see: https://doi.org/10.1038/s44220-023-00187-w.
| Study | Predictors of Remission in Depression to Individual and Combined Treatment | |
|---|---|---|
| Data Descriptor Paper |
https://pubmed.ncbi.nlm.nih.gov/39187625
https://doi.org/10.1186/1745-6215-13-106 |
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| DUA | Please contact Dr. Christos Davatzikos to obtain the DUA for the derived data and request an introduction to the study PI to obtain the DUA for the raw data. | |
| Country/Region | USA | |
| Disease Tag | depression | |
| Age (mean ± SD) | 38.6 ± 10.9 | |
| Age Range | 19-64 | |
| % Female | 53.3 | |
| CUBIC Project | /cbica/projects/MultisiteMD |
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| PI for CUBIC Access Approval | Christos Davatzikos | |
| N Subjects | 122 | |
| N MR Sessions | 122 | |
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DLMUSE
(122/122 complete) |
/cbica/projects/MultisiteMD/Pipelines/MultisiteMD_DLMUSE_2025/PReDICT/Results/PReDICT_DLMUSE_Volumes.csv
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RAVENS
(DRAMMS-1.4.1)
(121/121 complete) |
/cbica/projects/MultisiteMD/Pipelines/CoordinateMD_3.5D_2020/Protocols/RAVENS/PReDICT
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| Non-Imaging Data |
Contact Mathilde Antoniades to request access to the non-imaging data. /cbica/home/harmang/for_others/final_combined_istaging_withMUSE.csv
Data consolidated and harmonized in 2026. This study: subset with |
Funding
Funding for the study derives from two grants from the National Institute of Mental Health. A Centers for Intervention Development and Applied Research (CIDAR) grant (P50 MH077083; PI: Helen Mayberg, MD) established the center and provided funds to assess participants for predictors of acute response. A subsequent grant (RO1 MH080880; PI: W Edward Craighead, PhD) provided funding to treat non-remitters to the first treatment with combination medication and psychotherapy, to allow follow-up of patients for up to two years to identify predictors of recurrence, and to add patients to the sample to adequately power these studies.
Additional support was received from PHS Grant UL1 RR025008 from the Clinical and Translational Science Award program, National Institutes of Health, National Center for Research Resources, PHS Grant M01 RR0039 from the General Clinical Research Center program, and K23 MH086690 (BWD). Forest Labs and Elli Lilly Inc donated the study medications, escitalopram and duloxetine, respectively, and are otherwise uninvolved in study design, data collection, or data analysis, or interpretation of findings.