Sven C. Mueller

IBMMA improves neuroimaging analysis by handling missing data and large datasets, revealing new brain region findings overlooked by traditional methods.

This paper classifies PTSD vs. controls using MRI data from multiple sites, finding better performance when distinguishing PTSD from trauma-unexposed controls than trauma-exposed controls, and showing DVAE improves generalizability.

This study finds smaller total and subregional cerebellar volumes in PTSD compared to controls using a large dataset and advanced parcellation methods.

This paper compares four methods for harmonizing cortical thickness data across multiple sites and finds that ComBat-GAM is most effective in detecting case-control differences and age-related cortical thinning.

This study examines structural covariance networks in PTSD using a large multisite dataset, finding differences in centrality measures between PTSD and control groups, and highlighting sex-based and comorbid differences.

This study improves reliability in neuroimaging of transgender persons by showing that a second MRI scan increases signal-to-noise ratio and reveals more consistent brain volume and surface area differences with assigned sex.

This study finds that childhood maltreatment is associated with increased resting-state functional connectivity in theory-of-mind network regions in adult women.

This study investigates the neural correlates of spontaneous theory of mind using fMRI mega-analysis, finding activation in posterior parietal cortex and visuospatial regions, but not medial prefrontal cortex.

This fMRI study finds that early interpersonal trauma reduces right temporoparietal junction activation during mentalizing tasks, with PTSS influencing neural effects.