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Understanding the brain networks underlying cognition

The goal of this project is to understand the interplay between cognition and the underlying neural circuitry as measured using advanced Magnetic Resonance Imaging (MRI) techniques. more...

Supervisor(s): Korgaonkar, Mayuresh (Dr), Grieve, Stuart (Professor)

Neural circuitry of emotion processing disturbance in alcohol use disorder

The PhD students will use a combination of neuropsychological and neuroimaging techniques to study brain-behaviour relationships of addiction. These projects are ideally suited to i more...

Supervisor(s): Morley, Kirsten (Dr)

Reward processing deficits in addiction and comorbidities

The PhD students will use a combination of techniques to study brain-behaviour relationships of addiction. These projects are ideally suited to individuals who have a strong aptitud more...

Supervisor(s): Morley, Kirsten (Dr)

Brain Network Structure and Dynamics

This research area is concerned with developing better understanding of the structure of the brain, especially through modeling the dynamics and interactions of its neuronal network more...

Supervisor(s): Robinson, Peter (Professor)

Neural Field Theory and Brain Dynamics

This research area is concerned with developing better understanding of the structure and activity of the brain, especially through modeling the dynamics and interactions of its neu more...

Supervisor(s): Robinson, Peter (Professor)

Neural Correlates of Chronic Cardiovascular Disease

Chronic cardiovascular disease (diabetes, obesity, heart disease) has a wide systemic physiological impact, including microstructural damage to the brain. Our group has an opportuni more...

Supervisor(s): Grieve, Stuart (Professor)

Balance, Resistance and Interval Training Trial

BRAIN, or The BRaIN Training Trial (Balance, Resistance and Interval Training Trial) is a large, multi-national randomised controlled trial (RCT). The purpose of the trial the effic more...

Supervisor(s): Fiatarone Singh, Maria (Professor), Mavros, Yorgi (Dr)

Identifying the emotional, cognitive and biological correlates of schizophrenia

Objective measures of emotion, cognition and brain function are the best predictors of real-world outcomes in schizophrenia, and these projects are aimed at identifying these marker more...

Supervisor(s): Williams, Lea (Professor)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro more...

Supervisor(s): Fulcher, Ben (Dr)

Amygdala integrity in frontotemporal dementia

The amygdala, a complex brain region with numerous projections to other brain regions, is known to play a central role in processing emotional information.  Evidence indicates more...

Supervisor(s): Piguet, Olivier (Professor)