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Matthew Hyett

I completed my PhD in the Systems Neuroscience Group in 2015 under Professor Michael Breakspear (awarded through the School of Psychiatry, University of New South Wales in July '15).

Whilst at QIMR Berghofer I utilised a range of computational approaches to model neuropsychological and neuroimaging data derived from patients with different types of depression - namely melancholic and non-melancholic depression (see example at right).

Disrupted effective connectivity of cortical systems supporting attention and interoception in melancholia
Those with melancholic depression exhibit profound deficits in redirecting attention away from internal negative thought. To further understand the neurobiological mechanisms underlying such impairments, we used stochastic dynamic causal modelling (sDCM) to infer relationships between resting state brain modes corresponding to attention and interoception as derived from independent component analysis (ICA). Results from this study position melancholia as a disorder of dysconnection. Specifically, disruptions of causal influences between brain regions may contribute to difficulties in shifting attention away from highly (emotionally) salient internal states (Hyett et al., 2015, JAMA Psychiatry).

Representative resting state brain modes derived from 
independent component analysis informing 
stochastic dynamic causal modelling.