Michael Angstadt

Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis

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

Volumetric Differences of Thalamic Nuclei are Associated with Post-Trauma Psychopathology

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.

Multimodal Imaging-Based Classification of PTSD Using Data-Driven Computational Approaches: A Multisite Big Data Study from the ENIGMA-PGC PTSD Consortium

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.