Exploring the genetic basis of brain alterations in schizophrenia

Research Opportunity
PhD students, Masters by Research
Department / Centre
Royal Melbourne Hospital
Primary Supervisor Email Number Webpage
Dr Maria Di Biase dibiasem@unimelb.edu.au 0438842644 Personal web page
Co-supervisor Email Number Webpage
AProf Andrew Zalesky andrewzalesky@gmail.com Personal web page

Summary This project will build on state-of-the-art bioinformatics methods to identify gene-brain-behaviour relationships in schizophrenia.

Project Details

Schizophrenia is a serious mental health disorder, marked by hallucinations, delusions and cognitive dysfunction. Our group has used magnetic resonance imaging (MRI) to reveal inefficient wiring in brain networks of people with schizophrenia. However, we don’t yet understand what factors drive these changes in the brain. This project will apply deep learning to explore genetic factors associated with neural network alterations in schizophrenia. In doing so, we hope to trace the early developmental origins of circuitry disruption in this devastating disorder. Students will be given wide latitude and independence to determine specific methods and research directions. Successful applicants will be expected to conduct research at a high level and work toward publishing in internationally recognised journals. Students will be based at the Melbourne Neuropsychiatry Centre, University of Melbourne. Basic knowledge of neuroscience, neuroimaging or genetics.

Faculty Research Themes

School Research Themes

Neuroscience & Psychiatry

Research Opportunities

PhD students, Masters by Research
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Department / Centre


Research Node

Royal Melbourne Hospital

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