ClinicalTrials.gov
public full text
Public Domain
Precision Medicine in the Depression Treatment
The BrainDrugs-D study uses multimodal neuroimaging combined with self-report measures, clinical and molecular markers to identify clinically relevant predictors that can identify subtypes of major depressive disorder (MDD) and, in a naturalistic setting, predict treatment response to standard antidepressive treatment. The cohorts are followed in nationwide health registries.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Towards Neurobiology-based Diagnosis and Treatment of Affective Disorders#1197955
- Serotonin Transporter Genetic Variation and Amygdala Responses to Antidepressant Medications in Major Depression#875061
- Dallas 2K: A Natural History Study of Depression#1030127
- Advancing Personalized Antidepressant Treatment Using PET/MRI#852994
- Transcranial Direct Current Stimulation for Depression#907898
Record · ID 1310087
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive