ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
- Candidate categories
- Meta-epidemiology (narrow)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: ReviewConsensus signal: Review
- Teacher disagreement score
- 0.938
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.203 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
A key objective in the field of translational psychiatry over the past few decades has been to identify the brain correlates of major depressive disorder (MDD). Identifying measurable indicators of brain processes associated with MDD could facilitate the detection of individuals at risk, and the development of novel treatments, the monitoring of treatment effects, and predicting who might benefit most from treatments that target specific brain mechanisms. However, despite intensive neuroimaging research towards this effort, underpowered studies and a lack of reproducible findings have hindered progress. Here, we discuss the work of the ENIGMA Major Depressive Disorder (MDD) Consortium, which was established to address issues of poor replication, unreliable results, and overestimation of effect sizes in previous studies. The ENIGMA MDD Consortium currently includes data from 45 MDD study cohorts from 14 countries across six continents. The primary aim of ENIGMA MDD is to identify structural and functional brain alterations associated with MDD that can be reliably detected and replicated across cohorts worldwide. A secondary goal is to investigate how demographic, genetic, clinical, psychological, and environmental factors affect these associations. In this review, we summarize findings of the ENIGMA MDD disease working group to date and discuss future directions. We also highlight the challenges and benefits of large-scale data sharing for mental health research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Translational Psychiatry
- Topic
- Functional Brain Connectivity Studies
- Field
- Neuroscience
- Canadian institutions
- Alberta Bone and Joint Health InstituteUniversity of CalgaryMcMaster University
- Funders
- National Center for Research ResourcesNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthNational Center for Mental HealthNational Health and Medical Research CouncilBranch Out Neurological FoundationUniversität GreifswaldInstituto de Salud Carlos IIIKoninklijke Nederlandse Akademie van WetenschappenSiemens HealthineersH. Lundbeck A/SFreie Universität BerlinBerlin Institute of HealthU.S. Department of Health and Human ServicesUniversitair Medisch Centrum GroningenGratama StichtingVrije Universiteit AmsterdamNorges ForskningsrådUniversitetet i OsloHumboldt-Universität zu BerlinNational Institutes of HealthGGZ inGeestEuropean CommissionMinisterio de Ciencia e InnovaciónNational Center for Complementary and Integrative HealthNational Institute for Health and Care ResearchEuropean Regional Development FundBundesministerium für Bildung und ForschungUniversity of California, San FranciscoRivierduinenAmsterdam NeuroscienceZonMwDeutsche ForschungsgemeinschaftRappaport FoundationWellcome TrustMedical Research CouncilLeids Universitair Medisch CentrumWestfälische Wilhelms-Universität MünsterUniversiteit Leiden
- Keywords
- Major depressive disorderNeuroimagingDepression (economics)Schizophrenia (object-oriented programming)PsychologyPsychiatryClinical psychologyMedicineCognition
- Has abstract in OpenAlex
- yes