Disentangling the predictors of depressive symptomatology in multiple sclerosis

Research Opportunity
PhD
Number of Honour Places Available
1
Department
Medicine and Radiology
Location
Royal Melbourne Hospital
Primary Supervisor Email Number Webpage
A/Prof Tomas Kalincik tomas.kalincik@unimelb.edu.au Personal web page
Co-supervisor Email Number Webpage
Dr Charles Malpas charles.malpas@unimelb.edu.au Personal web page

Project Details

Multiple sclerosis is a chronic inflammatory demyelinating condition of the central nervous system. It is the leading cause of disability in young adults. Depressive symptoms are common in MS, and there is a complex interplay between these symptoms and disease variables (i.e., severity of physical disability), neurocognitive impairments, immunotherapy, and quality of life. The aim of this project will be to model the predictors of depressive psychopathology, and to study epidemiology, aetiology and phenotype of MS-related depression. This project is offered as a fellowship for a registrar in clinical neuropsychology. To be successful, the candidate will need to have been awarded and APA/RTP scholarship and be eligible for an AHPRA/PBA approved registrar program in clinical neuropsychology. Clinical experience in the MS clinic at the Royal Melbourne Hospital will be provided, along with supervision for the duration of the registrar program. A $20,000 per annum top-up scholarship will be provided for up to 3 years.



Faculty Research Themes

Neuroscience

School Research Themes

Neuroscience & Psychiatry



Research Opportunities

PhD
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

Medicine and Radiology

Research Group / Unit / Centre

CORe Unit (Clinical Outcomes Research Unit)

Research Node

Royal Melbourne Hospital

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