Application of conformal predictors to functional magnetic resonance imaging research

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A blood glucose level is an essential measure used in diagnostic and treatment decisions in diabetes. However, currently there are no such measures used in clinical practice for the diagnosis or prediction of clinical response in psychiatric disorders. Brain imaging studies have revealed significant, and often wide-spread, abnormalities in several psychiatric disorders. An essential step towards a clinical application would require a measure of patterns of brain activation that distinguishes patients from healthy individuals. This entails a shift in the data analysis from focusing on differences between groups of patients with a psychiatric illness and groups of healthy individuals to identifying for a particular individual the likelihood that he or she would have a particular illness. The present project will develop statistical analysis methods which are essential for the investigation of such quantitative measures for psychiatric disorders.