Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium
Zhu X, Kim Y, Ravid O, He X, Suarez-Jimenez B, Zilcha-Mano S, Lazarov A, Lee S, Abdallah C, Angstadt M, Averill C, Baird C, Baugh L, Blackford J, Bomyea J, Bruce S, Bryant R, Cao Z, Choi K, Cisler J, Cotton A, Daniels J, Davenport N, Davidson R, DeBellis M, Dennis E, Densmore M, deRoon-Cassini T, Disner S, Hage W, Etkin A, Fani N, Fercho K, Fitzgerald J, Forster G, Frijling J, Geuze E, Gonenc A, Gordon E, Gruber S, Grupe D, Guenette J, Haswell C, Herringa R, Herzog J, Hofmann D, Hosseini B, Hudson A, Huggins A, Ipser J, Jahanshad N, Jia-Richards M, Jovanovic T, Kaufman M, Kennis M, King A, Kinzel P, Koch S, Koerte I, Koopowitz S, Korgaonkar M, Krystal J, Lanius R, Larson C, Lebois L, Li G, Liberzon I, Lu G, Luo Y, Magnotta V, Manthey A, Maron-Katz A, May G, McLaughlin K, Mueller S, Nawijn L, Nelson S, Neufeld R, Nitschke J, O'Leary E, Olatunji B, Olff M, Peverill M, Phan K, Qi R, Quidé Y, Rektor I, Ressler K, Riha P, Ross M, Rosso I, Salminen L, Sambrook K, Schmahl C, Shenton M, Sheridan M, Shih C, Sicorello M, Sierk A, Simmons A, Simons R, Simons J, Sponheim S, Stein M, Stein D, Stevens J, Straube T, Sun D, Théberge J, Thompson P, Thomopoulos S, van der Wee N, van der Werff S, van Erp T, van Rooij S, van Zuiden M, Varkevisser T, Veltman D, Vermeiren R, Walter H, Wang L, Wang X, Weis C, Winternitz S, Xie H, Zhu Y, Wall M, Neria Y, Morey R. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 2023, 283: 120412. PMID: 37858907, PMCID: PMC10842116, DOI: 10.1016/j.neuroimage.2023.120412.Peer-Reviewed Original ResearchMeSH KeywordsBig DataBrainHumansMagnetic Resonance ImagingNeuroimagingReproducibility of ResultsStress Disorders, Post-TraumaticPsychometric Properties of the Self-Injurious Thoughts and Behaviors Interview–Short Form Among U.S. Active Duty Military Service Members and Veterans
Stanley I, Marx B, Fina B, Young-McCaughan S, Tyler H, Sloan D, Blankenship A, Dondanville K, Walker J, Boffa J, Bryan C, Brown L, Straud C, Mintz J, Abdallah C, Back S, Blount T, DeBeer B, Flanagan J, Foa E, Fox P, Fredman S, Krystal J, McDevitt-Murphy M, McGeary D, Pruiksma K, Resick P, Roache J, Shiroma P, Taylor D, Wachen J, Kaplan A, López-Roca A, Nicholson K, Schobitz R, Schrader C, Sharrieff A, Yarvis J, Litz B, Keane T, Peterson A. Psychometric Properties of the Self-Injurious Thoughts and Behaviors Interview–Short Form Among U.S. Active Duty Military Service Members and Veterans. Assessment 2023, 30: 2332-2346. PMID: 36644835, DOI: 10.1177/10731911221143979.Peer-Reviewed Original ResearchMeSH KeywordsHumansMilitary PersonnelPsychometricsReproducibility of ResultsRisk FactorsSelf-Injurious BehaviorStress Disorders, Post-TraumaticSuicidal IdeationSuicide, AttemptedVeteransConceptsBehaviors Interview-Short FormPosttraumatic stress disorderSelf-injurious thoughtsMilitary service membersService membersDiscriminant validitySelf-report measuresInterview-based measuresSuicidal ideationSelf-report questionnairesActive duty military service membersSuicide-related thoughtsActive duty service membersPTSD symptomsStress disorderRelated constructsGood convergentConvergent validityResponse formatPsychometric propertiesSuicide risk assessmentInterrater reliabilityHigh interrater reliabilityIdeationVeterans