Using MRI, MEG, and machine learning to better classify severe mental illness

Project Code

MRCNMH25Ca McNabb

Research Theme

Neuroscience & Mental Health

Project Summary Download

Summary

Clinical diagnoses of severe mental illnesses currently rely solely on symptom report and poorly predict long-term outcomes. This PhD project aims to integrate information from brain imaging, cognitive testing, blood biomarkers and genomics to improve mechanistic understanding. In this PhD, you will develop and refine machine learning algorithms to try and recategorise severe mental illnesses based on mechanistically-informed biological markers. You will also learn about the processes and challenges associated with bringing neuroimaging biomarkers to real-world clinical settings through hands-on experience at Bioxydyn, a leading start-up in this field. Suitable candidates will have a love of programming, neuroscience and neuroimaging.

Lead Supervisor

Dr Carolyn McNabb

Lead Supervisor Email

mcnabbc1@cardiff.ac.uk

University Affiliation

Cardiff