Bio-Computational Approaches to Understanding Transition to Psychosis

Project Code

MRCNMH26Ba Walton

Project Type

Dry lab

Research Theme

Neuroscience and Mental Health

Project Summary Download

Summary

This project aims to advance our understanding of psychosis by identifying the biological mechanisms that underlie its diverse symptom profiles. Moving beyond traditional diagnostic categories, it adopts a symptom-based framework to study features such as cognitive deficits, hallucinations, and delusions. Using large-scale multimodal datasets, the project will apply advanced computational methods—including machine learning and clustering techniques—to uncover biologically meaningful subtypes of psychosis. Integrating neuroimaging, (epi-)genomic, proteomic and inflammatory data, it will also explore the developmental and dynamic nature of these biological markers, with the goal of identifying people at risk as early as possible to enhance prevention and treatment.

Lead Supervisor

Professor Esther Walton

Lead Supervisor Email

e.walton@bath.ac.uk

University Affiliation

Bath