biostudies-literatureLeypoldt MDeutsche Forschungsgemeinschaft (German Research Foundation)80https://www.ebi.ac.uk/biostudies/studies/S-EPMC11906641biostudies-literatureUnknown15(1)Social Anxiety Disorder (SAD) involves fear of negative evaluation and social avoidance, impacting quality of life. Early life adversities (ELA) are recognized as risk factors for SAD. Previous research indicated inconsistent alterations in resting state functional connectivity (RSFC) in SAD, particularly in the prefrontal cortex and precuneus. This study investigated the interaction between SAD and ELA at the RSFC level. Functional magnetic resonance imaging (fMRI) was conducted on 120 participants (aged 19-48). Four groups were formed: low/ high ELA controls (n = 49, n = 22) and low/ high ELA SAD participants (n = 30, n = 19). Seed-based correlation analyses (SCA) and multi-voxel pattern analysis (MVPA) were applied. A network in which ELA moderates the neural correlates of SAD during thTranslational psychiatryAlterations in cerebral resting state functional connectivity associated with social anxiety disorder and early life adversities.PMC11906641NI 1332/6-1FA 361/25-1KR 4398/5-1Nieratschker VWiegand ADrohm SLeypoldt MFallgatter AJMunk MKreifelts BfalseAlterations in cerebral resting state functional connectivity associated with social anxiety disorder and early life adversities.Social Anxiety Disorder (SAD) involves fear of negative evaluation and social avoidance, impacting quality of life. Early life adversities (ELA) are recognized as risk factors for SAD. Previous research indicated inconsistent alterations in resting state functional connectivity (RSFC) in SAD, particularly in the prefrontal cortex and precuneus. This study investigated the interaction between SAD and ELA at the RSFC level. Functional magnetic resonance imaging (fMRI) was conducted on 120 participants (aged 19-48). Four groups were formed: low/ high ELA controls (n = 49, n = 22) and low/ high ELA SAD participants (n = 30, n = 19). Seed-based correlation analyses (SCA) and multi-voxel pattern analysis (MVPA) were applied. A network in which ELA moderates the neural correlates of SAD during th2025-01-01T00:00:00Z2025 Mar2025-04-26T03:30:34.085Z2025-04-06T10:46:34.528ZS-EPMC119066414008240910.1038/s41398-025-03301-x