Yuval Neria

The paper uses data-driven clustering to identify distinct neurobiological profiles associated with childhood-onset trauma (CT) and adulthood-onset trauma (AT) based on resting-state functional connectivity.

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

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 introduces explainable variational autoencoders to interpret nonlinear patterns in resting state fMRI data from autism spectrum disorder and control groups.

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 identifies reduced fractional anisotropy in the tapetum region of the corpus callosum in PTSD patients using a large multi-cohort analysis of diffusion MRI data.