Recent Projects Utilizing Data from the Psy-ShareD Repository
Investigating sex-specific brain morphology in schizophrenia.
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BrainAgeS investigates sex-specific aging effects on working memory and related brain structures in schizophrenia.
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This project validates behavioural and brain structure patterns across the psychosis-risk spectrum, focusing on cortical thickness in CHR and cognitive differences between FEP, CHR, and FHR.
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This study aims to identify neuroanatomically-defined subtypes of schizophrenia using cortical thickness measurements analyzed through VAE-based dimensionality reduction.
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This study will investigate whether substance use contributes to, mediates, or moderates grey matter volume (GMV) differences between individuals with psychosis and healthy controls.
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To assess psychosis as a multisystem disorder of accelerated aging, driven by inflammation and cellular stress.
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Accumulating and converging evidence suggests that hippocampal subfield neuropathology might be an important factor underlying psychosis risk, disease progression, and symptomology.
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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.
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The Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium has successfully identified structural brain abnormalities in individuals at Clinical High Risk for Psychosis (CHR) and Schizophrenia (SCZ).
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This project aims to externally validate supervised and unsupervised approaches for identifying treatment resistance.
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This project investigates how brain structure and connectivity are altered across the psychosis spectrum, particularly in clinical high-risk (CHR) individuals and patients with first-episode psychosis (FEP).
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This project uses multimodal deep learning and mechanistic interpretability techniques to better understand the development of psychotic disorders, including clinical high-risk states and first-episode psychosis.
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This study investigates whether medial temporal lobe (MTL) abnormalities, particularly hippocampal structure, mediate the relationship between cannabis use and clinical outcomes in individuals at Clinical High Risk for psychosis (CHR-P).
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The project investigates the neuroanatomical correlates of depressive symptoms in schizophrenia spectrum disorders (SSD) using structural MRI and machine learning.
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