International Study to Predict Optimized Treatment in Depression
About the dataset
Primary description: Depression treatment prediction
The International Study to Predict Optimized Treatment for Depression (iSPOT-D) is a large, multi-center randomized clinical trial aimed to identify baseline predictors and moderators of treatment response for MDD. Outpatients (aged 18-65) with MDD were enrolled to escitalopram, sertraline, or venlafaxine. MDD participants and matched healthy controls underwent baseline assessment, cognitive testing, and some underwent imaging. An additional subset of individuals underwent a repeat of these assessments at week eight.
The study is part of the COORDINATE-MDD consortium. For more information, see: https://doi.org/10.1038/s44220-023-00187-w.
The study is part of the COORDINATE-MDD consortium. For more information, see: https://doi.org/10.1038/s44220-023-00187-w.
| Study | International Study to Predict Optimized Treatment in Depression | |
|---|---|---|
| Study Website | iSPOT-D | |
| Data Descriptor Paper | https://pubmed.ncbi.nlm.nih.gov/21208417/ | |
| DUA | https://redcap.link/pmhw_analysis_request. If the link doesn't work, go to https://www.stanfordpmhw.com/datasets and search for "iSPOT-D" | |
| Country/Region | Australia | |
| Disease Tag | depression | |
| Age (mean ± SD) | 34.5 ± 12.2 | |
| Age Range | 18-65 | |
| % Female | 51.5 | |
| CUBIC Project | /cbica/projects/MultisiteMD |
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| PI for CUBIC Access Approval | Christos Davatzikos | |
| N Subjects | 202 | |
| N MR Sessions | 202 | |
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DLMUSE
(200/200 complete) |
/cbica/projects/MultisiteMD/Pipelines/MultisiteMD_DLMUSE_2025/Stanford_iSPOTD/Results/Stanford_iSPOTD_DLMUSE_Volumes.csv
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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
iSPOT-D is sponsored by Brain Resource Company Operations Pty Ltd.