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Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis
Xin Wang, Hong Xie, Tian Chen, Andrew S. Cotton, Lauren E. Salminen, Mark W. Logue, Emily K. Clarke‐Rubright, John T. Wall, Emily L. Dennis, Erin N. O’Leary, Chadi G. Abdallah, Elpiniki Andrew, Lee A. Baugh, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Kyle Choi, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. DeBellis, Terri A. deRoon‐Cassini, Seth G. Disner, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Hassaan Gomaa, Evan M. Gordon, Daniel W. Grupe, Ilan Harpaz‐Rotem, Courtney C. Haswell, Julia Herzog, David Hofmann, Michael Hollifield, Bobak Hosseini, Anna R. Hudson, Jonathan Ipser, Neda Jahanshad, Tanja Jovanović, Milissa L. Kaufman, Anthony P. King, Saskia B.J. Koch, Inga K. Koerte, Mayuresh S. Korgaonkar, John H. Krystal, Christine L. Larson, Lauren A. M. Lebois, Ifat Levy, Gen Li, Vincent A. Magnotta, Antje Manthey, Geoffrey May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Yuval Neria, Jack B. Nitschke, Miranda Olff, Elizabeth A. Olson, Matthew Peverill, K. Luan Phan, Faisal Rashid, Kerry J. Ressler, Isabelle M. Rosso, Kelly Sambrook, Christian Schmahl, Martha E. Shenton, Anika Sierk, Jeffrey S. Simons, Raluca M. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Benjamin Suarez‐Jimenez, Marijo Tamburrino, Sophia I. Thomopoulos, Nic J.A. van der Wee, Steven J.A. van der Werff, Theo G.M. van Erp, Sanne J.H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert Vermeiren, Henrik Walter, Li Wang, Ye Zhu, Xi Zhu, Paul M. Thompson, Rajendra A. Morey, Israel Liberzon
Bibliographic record
VenueMolecular Psychiatry · 2020
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsWestern University
FundersYale Center for Clinical Investigation, Yale School of MedicineNational Center for Advancing Translational SciencesNational Institute of Child Health and Human DevelopmentNational Institute of Biomedical Imaging and BioengineeringNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthNational Institute on AgingNational Institute on Alcohol Abuse and AlcoholismNational Health and Medical Research CouncilMichael J. Fox Foundation for Parkinson's ResearchCongressionally Directed Medical Research ProgramsEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Alliance for Research on Schizophrenia and DepressionZonMwAcademisch Medisch CentrumDeutsche ForschungsgemeinschaftNational Institute on Drug AbuseNational Center for Research ResourcesGeorgia Clinical and Translational Science AllianceBrain and Behavior Research FoundationDana FoundationU.S. Department of Veterans AffairsYale UniversityBijzonder Onderzoeksfonds UGentNational Institutes of HealthU.S. Department of Health and Human ServicesU.S. Department of Defense
KeywordsOrbitofrontal cortexDepression (economics)PsychologyPrefrontal cortexPosttraumatic stressPsychiatryMajor depressive disorderInsular cortexNeuroimagingNeuroscienceClinical psychologyCognition
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. 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.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
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.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.031
GPT teacher head0.323
Teacher spread0.292 · 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations94
Published2020
Admission routes1
Has abstractno