Application of conformal predictors to functional magnetic resonance imaging research

血糖水平是糖尿病诊断和治疗决策中使用的重要指标。然而，目前在临床实践中没有用于诊断或预测精神疾病临床应答的此类指标。脑成像研究已经揭示了一些精神疾病的显着，往往是广泛的，异常。临床应用的一个重要步骤是需要测量大脑激活模式，以区分患者和健康个体。这就需要在数据分析中从关注精神病患者群体和健康个体群体之间的差异转变为确定特定个体患有特定疾病的可能性。本项目将开发统计分析方法，这些方法对于调查此类精神疾病的定量措施至关重要。

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.