2023
Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
Yang J, Huggins A, Sun D, Baird C, Haswell C, Frijling J, Olff M, van Zuiden M, Koch S, Nawijn L, Veltman D, Suarez-Jimenez B, Zhu X, Neria Y, Hudson A, Mueller S, Baker J, Lebois L, Kaufman M, Qi R, Lu G, Říha P, Rektor I, Dennis E, Ching C, Thomopoulos S, Salminen L, Jahanshad N, Thompson P, Stein D, Koopowitz S, Ipser J, Seedat S, du Plessis S, van den Heuvel L, Wang L, Zhu Y, Li G, Sierk A, Manthey A, Walter H, Daniels J, Schmahl C, Herzog J, Liberzon I, King A, Angstadt M, Davenport N, Sponheim S, Disner S, Straube T, Hofmann D, Grupe D, Nitschke J, Davidson R, Larson C, deRoon-Cassini T, Blackford J, Olatunji B, Gordon E, May G, Nelson S, Abdallah C, Levy I, Harpaz-Rotem I, Krystal J, Morey R, Sotiras A. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods. Neuropsychopharmacology 2023, 49: 609-619. PMID: 38017161, PMCID: PMC10789873, DOI: 10.1038/s41386-023-01763-5.Peer-Reviewed Original ResearchPosttraumatic stress disorderStructural covariance networksCortical thicknessPTSD diagnosisInsular cortexPTSD patientsCingulate cortexSymptom severityBilateral superior frontal cortexStress disorderGreater cortical thicknessLower cortical thicknessChildhood trauma severitySuperior frontal cortexRegression analysisAnterior cingulate cortexTrauma-exposed controlsPosterior cingulate cortexPrefrontal regulatory regionsPTSD symptom severityComorbid depressionMotor cortexHealthy controlsFrontal cortexAlcohol abuse
2016
Hostility and telomere shortening among U.S. military veterans: Results from the National Health and Resilience in Veterans Study
Watkins LE, Harpaz-Rotem I, Sippel LM, Krystal JH, Southwick SM, Pietrzak RH. Hostility and telomere shortening among U.S. military veterans: Results from the National Health and Resilience in Veterans Study. Psychoneuroendocrinology 2016, 74: 251-257. PMID: 27689898, DOI: 10.1016/j.psyneuen.2016.09.006.Peer-Reviewed Original ResearchConceptsU.S. military veteransClinical variablesNational HealthTelomere lengthMilitary veteransMultivariable binary logistic regression analysisVeterans StudyAccelerated cellular agingBinary logistic regression analysisLogistic regression analysisU.S. veteran populationNon-veteran populationsAge-related disordersPolymerase chain reaction methodChronic disordersRisk factorsChain reaction methodQuantitative polymerase chain reaction methodVeteran populationU.S. veteransSecondary analysisTreatment effortsVeteransRegression analysisBiological age