biostudies-literatureTomas CWWaisman Center from the National Institute of Child Health and Human DevelopmentVISN6 MIRECCNIMH NIH HHSGerman Research SocietyBrain and Behavior Research FoundationZonMwDana FoundationPHRC, Foundation Pierre DenikerNational Science Foundation Graduate Research FellowshipAcademic Medical Center Research CouncilVA National Center for PTSDNational Alliance for Research on Schizophrenia and DepressionDeutsche ForschungsgemeinschaftVISN17 Center of Excellence Pilot fundingNational Institute of Mental HealthMcLean Hospital Trauma Scholars FundJulia Kasparian Fund for Neuroscience ResearchSAMRC Unit on Risk & Resilience in Mental Disorderse70116https://www.ebi.ac.uk/biostudies/studies/S-EPMC12308910biostudies-literatureUnknown46(11)Using functional magnetic resonance imaging (fMRI), symptoms of posttraumatic stress disorder (PTSD) have been associated with aberrations in brain networks in the absence of a given cognitive demand or task, called resting-state networks. Prior work has focused on disruption in the static functional connectivity (FC) among specific regions constrained by a priori hypotheses. However, dynamic FC, an approach that examines brain network characteristics over time, may provide a more sensitive measure to understand the network properties underlying dysfunction in PTSD. Further, using a data-driven analytic approach may reveal the contribution of other larger network disturbances beyond those revealed by hypothesis-driven examinations of ROIs or canonical networks. Therefore, the current studyHuman brain mappingData-Driven Approach to Dynamic Resting State Functional Connectivity in Post-Traumatic Stress Disorder: An ENIGMA-PGC PTSD Study.PMC12308910MH101380K01MH118467DA 1222/4-1R21MH112956K01MH12165340‐00812‐98‐10041K01MH122774R01MH119227MH071537K01MH118428R01MH13153240-00812-98-10041R01MH113574110614R01 MH106574P30-HD003352R01MH105355‐01ADA 1222/4‐127040R01MH105355-01ARO1 MH111671MH098212WA 1539/8-2WA 1539/8‐2deRoon-Cassini TANelson SMDavenport NDBaird CLHuggins AAHaswell CCDisner SGJovanovic TAbdallah CGBaker JTNitschke JBvan der Werff SJAXie HCotton ASGordon EMOlff MWang XOlatunji BOLissek SSambrook KKoch SBJZilcha-Mano SVermeiren RRJMWalter HFitzgerald JMDavidson RJManthey AHe XNawijn LEl Hage WNeria YThompson PMLarson CLvan der Wee NJAMay GMorey RKaufman MLCisler JLebois LAMStevens Jvan Zuiden MHerringa RDaniels JKRoss MBlackford JUvan Rooij SJHKoopowitz SSierk AStraube THussain ASalminen LEBerg HJahanshad NRavid OVeltman DJLazarov AAngstadt MFrijling JLQuide YIpser JLiberzon IGrupe DWKing ATomas CWMcLaughlin KASponheim SRStein DJFani NKim YShih CSuarez-Jimenez BZhu XRessler KPeverill MHofmann DfalseData-Driven Approach to Dynamic Resting State Functional Connectivity in Post-Traumatic Stress Disorder: An ENIGMA-PGC PTSD Study.Using functional magnetic resonance imaging (fMRI), symptoms of posttraumatic stress disorder (PTSD) have been associated with aberrations in brain networks in the absence of a given cognitive demand or task, called resting-state networks. Prior work has focused on disruption in the static functional connectivity (FC) among specific regions constrained by a priori hypotheses. However, dynamic FC, an approach that examines brain network characteristics over time, may provide a more sensitive measure to understand the network properties underlying dysfunction in PTSD. Further, using a data-driven analytic approach may reveal the contribution of other larger network disturbances beyond those revealed by hypothesis-driven examinations of ROIs or canonical networks. Therefore, the current study2025-01-01T00:00:00Z2025 Aug2026-03-31T10:36:00.995Z2025-08-24T03:06:24.95ZS-EPMC123089104073626510.1002/hbm.70116