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Can cognitive or resting EEG data reveal biomarkers related to mental illness diagnoses?

Description 
Over the past decade, a number of large EEG datasets have become available, containing both data across multiple cognitive tasks and from participants from multiple categories of mental illness diagnoses. This project intends to make use of those large datasets alongside state-of-the-art EEG analysis techniques to answer fundamental questions about the relationship between EEG activity, cognition and mental illness which have not been well answered by studies with smaller sample sizes. In particular, larger datasets will be able to tell us whether particular neural oscillations are related to specific cognitive processes in specific mental illnesses or even specific symptoms.
Essential criteria: 
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords 
Cognition, EEG, mental illness, biomarkers
School 
Central Clinical School » Psychiatry (previously known as MAPrc)
Available options 
Honours
BMedSc(Hons)
Time commitment 
Full-time
Physical location 
Epworth Hospital
Co-supervisors 
Assoc Prof 
Kate Hoy

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