Israel Liberzon

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

The paper examines thalamic volume differences in trauma-exposed individuals with PTSD, MDD, and controls, finding specific volume reductions and associations with symptom severity and childhood trauma.

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 the roles of negative and positive valence systems in PTSD development, finding that both systems contribute differently to symptom severity over time.

The paper identifies multi-domain neurocognitive biomarkers that differentiate PTSD severity subtypes in trauma survivors using a computational 3C method.

This study identifies genetic variants associated with self-reported childhood maltreatment and finds significant genetic correlations with depressive symptoms.

The paper investigates how hippocampal volume and Cavum Septum Pellucidum (CSP) volume interact to predict PTSD symptom severity and progression in trauma survivors.

The paper identifies SNRNP35 as a trauma type-specific PTSD gene through analysis of genetically regulated gene expression in PTSD cases and controls.