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Using Neuroimaging Data to Classify Diagnosis and Outcome of Psychiatric Disorders
Dr. Paola Dazzan
Dr. Paola Dazzan discusses using new ways to analyse neuroimaging data, to classify the diagnosis and outcome of psychiatric disorders. Previous methods have often compared the brains of people with psychosis with healthy controls, rather than differences between individual patients. These differences are often subtle and not necessarily clinically useful. Alternative statistical methods such as machine learning can be applied to identify patterns of change in the brains of individual, and could be more clinically useful compared to methods such as univariate analysis. She believes that better study designs and better computational methods could lead to neuroimaging becoming a powerful tool to predict the course of illness and guide treatment..