Recent Projects Utilizing Data from the Psy-ShareD Repository
This study aims to characterize sex-specific brain morphology in cortical thickness and deep-brain regions in chronic schizophrenia patients (SCZ) and healthy control participants (CON).
BrainAgeS aims to comprehensively investigate the sex-specific effects of aging on working memory and associated brain structures in schizophrenia.
The goal of the project is to replicate and validate distinct behavioural and neuroanatomical patterns across the psychosis-risk spectrum—particularly the unique cortical thickness profile in CHR individuals and the cognitive differences separating FEP from CHR and FHR.
This study aims to identify neuroanatomically-defined subtypes of schizophrenia using cortical thickness measurements analyzed through VAE-based dimensionality reduction.
This study will investigate whether substance use contributes to, mediates, or moderates grey matter volume (GMV) differences between individuals with psychosis and healthy controls.
To assess psychosis as a multisystem disorder of accelerated aging, driven by inflammation and cellular stress.
Accumulating and converging evidence suggests that hippocampal subfield neuropathology might be an important factor underlying psychosis risk, disease progression, and symptomology.
This project will explore whether specific structural brain patterns associated with childhood trauma are linked to distinct cognitive mechanisms—such as source monitoring deficits or intrusive memories—that could contribute to hallucinations in individuals with and without a history of trauma.
The ENIGMA consortium has identified brain structure abnormalities in individuals with Clinical High Risk for Psychosis (CHR) and Schizophrenia (SCZ) using FreeSurfer. However, its parcellation-based method may overlook subtle, widespread differences. This study uses voxel-based morphometry (VBM) to complement ENIGMA’s findings by detecting changes FreeSurfer may miss.
This project aims to externally validate supervised and unsupervised approaches for identifying treatment resistance.
