Research Projects

Recent Projects Utilizing Data from the Psy-ShareD Repository

Neuroimaging
Brain-Based Sex Differences in Schizophrenia

Investigating sex-specific brain morphology in schizophrenia.

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Neuroimaging Aging
BrainAgeS: Unravelling Sex-Specific Aging Trajectories in Neuroanatomy of Working Memory in Schizophrenia

BrainAgeS investigates sex-specific aging effects on working memory and related brain structures in schizophrenia.

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Neuroimaging
Clincal, cognitive, and neuroanatomical phenotypes across the psychosis spectrum

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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Neuroimaging
Identifying Subtypes of Cortical Thickness in Schizophrenia

This study aims to identify neuroanatomically-defined subtypes of schizophrenia using cortical thickness measurements analyzed through VAE-based dimensionality reduction.

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Neuroimaging Psychosis
Substance Use and Grey Matter Volume in Psychosis: A Multisite Neuroimaging Study

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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Aging
Cellular Stress: Comorbid multi-organ Aging in PsychosEs (C-SCAPE)

To assess psychosis as a multisystem disorder of accelerated aging, driven by inflammation and cellular stress.

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Psychosis
Hippocampal Subfield Atrophy and links to Symptomatology in Psychosis

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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Neuroimaging Trauma
Childhood trauma, hallucinations and brain structural alterations

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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Neuroimaging Psychosis
Voxel-Based Morphometry meta-analysis and mega-analysis of regional brain volume in patients with CHR, FEP and Schizophrenia

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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Machine Learning Psychosis
Supervised and Unsupervised Data-Driven Approaches for Identifying Treatment Resistance in Patients with Schizophrenia Spectrum Disorders

This project aims to externally validate supervised and unsupervised approaches for identifying treatment resistance.

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Machine Learning Psychosis
Perturbation Network Analysis of Structural T1 MRI Data in Psychosis

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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Machine Learning Psychosis
NeuroPsy-IMPACT: using Neuroimaging in Psychosis for Interpretable Multimodal Prediction and Analysis of Clinical Trajectories.

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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Machine Learning Psychosis
Associations Between Cannabis Use, Medial Temporal Lobe Structure and Clinical Outcomes in Clinical High-RIsk Psychosis

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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Machine Learning Psychosis
ML derived neural correlates of depression in psychosis

The project investigates the neuroanatomical correlates of depressive symptoms in schizophrenia spectrum disorders (SSD) using structural MRI and machine learning.

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