{"id":"W7132138635","doi":"","title":"A Whole-Brain Voxel-Based Analysis of Structural Abnormalities in PTSD: An ENIGMA-PGC Study","year":2025,"lang":"","type":"article","venue":"e-Publications@Marquette (Marquette University)","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yale Center for Clinical Investigation, Yale School of Medicine; National Center for Advancing Translational Sciences; National Institute of Mental Health; Medical Research Council; NIHR Maudsley Biomedical Research Centre; Clinical Science Research and Development; National Institute of Child Health and Human Development; Canadian Institute for Military and Veteran Health Research; U.S. Department of Veterans Affairs; South African Medical Research Council; National Research Foundation; National Center for PTSD, U.S. Department of Veterans Affairs; Yale University; King's College London; Department of Health and Social Care; South London and Maudsley NHS Foundation Trust; Canadian Institutes of Health Research; National Science Foundation; National Institute for Health and Care Research; Waisman Center","keywords":"Neuroimaging; Cerebellum; Amygdala; White matter; Brain size; Voxel-based morphometry; Depression (economics); Brain morphometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005757063,0.0009841964,0.001769727,0.002057668,0.000896777,0.001529981,0.001667218,0.00115133,0.002318513],"category_scores_gemma":[0.01154218,0.0007684525,0.005178438,0.002950456,0.0005416754,0.0006522894,0.001619234,0.001084926,0.0003233483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000572908,"about_ca_system_score_gemma":0.0008289622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007911797,"about_ca_topic_score_gemma":0.009659823,"domain_scores_codex":[0.9980069,0.0007404192,0.0001768843,0.0008176169,0.0001658555,0.00009237925],"domain_scores_gemma":[0.9952655,0.001715683,0.001098856,0.001116449,0.0006221613,0.0001813551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00844417,0.0001547918,0.5329318,0.01310169,0.3632039,0.001238185,0.0009669976,0.004623964,0.007246292,0.001715633,0.01163502,0.05473754],"study_design_scores_gemma":[0.001583086,0.0007226851,0.6861022,0.001613068,0.2782887,0.002589742,0.0004871058,0.003002512,0.00134025,0.004412568,0.01973451,0.0001235564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.766318,0.1921255,0.01802983,0.003300148,0.0004867509,0.0003384608,0.01637771,0.0006121493,0.002411521],"genre_scores_gemma":[0.9712861,0.01061305,0.009706989,0.0006018957,0.0001624331,0.0003578855,0.00633871,0.0003012522,0.0006317153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007911797,"threshold_uncertainty_score":0.03044665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427199769748814,"score_gpt":0.3624553439138016,"score_spread":0.3197353669389202,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}