{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tomas CW"],"funding":["Waisman Center from the National Institute of Child Health and Human Development","VISN6 MIRECC","NIMH NIH HHS","German Research Society","Brain and Behavior Research Foundation","ZonMw","Dana Foundation","PHRC, Foundation Pierre Deniker","National Science Foundation Graduate Research Fellowship","Academic Medical Center Research Council","VA National Center for PTSD","National Alliance for Research on Schizophrenia and Depression","Deutsche Forschungsgemeinschaft","VISN17 Center of Excellence Pilot funding","National Institute of Mental Health","McLean Hospital Trauma Scholars Fund","Julia Kasparian Fund for Neuroscience Research","SAMRC Unit on Risk & Resilience in Mental Disorders"],"pagination":["e70116"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12308910"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["46(11)"],"pubmed_abstract":["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 study"],"journal":["Human brain mapping"],"pubmed_title":["Data-Driven Approach to Dynamic Resting State Functional Connectivity in Post-Traumatic Stress Disorder: An ENIGMA-PGC PTSD Study."],"pmcid":["PMC12308910"],"funding_grant_id":["MH101380","K01MH118467","DA 1222/4-1","R21MH112956","K01MH121653","40‐00812‐98‐10041","K01MH122774","R01MH119227","MH071537","K01MH118428","R01MH131532","40-00812-98-10041","R01MH113574","110614","R01 MH106574","P30-HD003352","R01MH105355‐01A","DA 1222/4‐1","27040","R01MH105355-01A","RO1 MH111671","MH098212","WA 1539/8-2","WA 1539/8‐2"],"pubmed_authors":["deRoon-Cassini TA","Nelson SM","Davenport ND","Baird CL","Huggins AA","Haswell CC","Disner SG","Jovanovic T","Abdallah CG","Baker JT","Nitschke JB","van der Werff SJA","Xie H","Cotton AS","Gordon EM","Olff M","Wang X","Olatunji BO","Lissek S","Sambrook K","Koch SBJ","Zilcha-Mano S","Vermeiren RRJM","Walter H","Fitzgerald JM","Davidson RJ","Manthey A","He X","Nawijn L","El Hage W","Neria Y","Thompson PM","Larson CL","van der Wee NJA","May G","Morey R","Kaufman ML","Cisler J","Lebois LAM","Stevens J","van Zuiden M","Herringa R","Daniels JK","Ross M","Blackford JU","van Rooij SJH","Koopowitz S","Sierk A","Straube T","Hussain A","Salminen LE","Berg H","Jahanshad N","Ravid O","Veltman DJ","Lazarov A","Angstadt M","Frijling JL","Quide Y","Ipser J","Liberzon I","Grupe DW","King A","Tomas CW","McLaughlin KA","Sponheim SR","Stein DJ","Fani N","Kim Y","Shih C","Suarez-Jimenez B","Zhu X","Ressler K","Peverill M","Hofmann D"],"additional_accession":[]},"is_claimable":false,"name":"Data-Driven Approach to Dynamic Resting State Functional Connectivity in Post-Traumatic Stress Disorder: An ENIGMA-PGC PTSD Study.","description":"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 study","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Aug","modification":"2026-03-31T10:36:00.995Z","creation":"2025-08-24T03:06:24.95Z"},"accession":"S-EPMC12308910","cross_references":{"pubmed":["40736265"],"doi":["10.1002/hbm.70116"]}}