Grant number: 1136649 | Funding period: 2018 - 2022
Mental illness is the largest single cause of disability in Australia. While mental illness is increasingly recognised as a disorder of the brain, a patient’s diagnosis, treatment and prediction of course of outcome is seldom guided by the results of a biological test. My research aims to combine the power of modern brain imaging and cutting-edge bioinformatics to enable a biological approach to the problem of mental illness.
Related publications (6)
Topographic organization of the human subcortex unveiled with functional connectivity gradients
Ye Tian, Daniel S Margulies, Michael Breakspear, Andrew Zalesky
Brain atlases are fundamental to understanding the topographic organization of the human brain, yet many contemporary human atlase..
Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors
Akhil Kottaram, Leigh A Johnston, Ye Tian, Eleni P Ganella, Liliana Laskaris, Luca Cocchi, Patrick McGorry, Christos Pantelis, Ramamohanarao Kotagiri, Vanessa Cropley, Andrew Zalesky
In a machine learning setting, this study aims to compare the prognostic utility of connectomic, brain structural, and clinical/de..