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一项基本指标。然而，目前还没有在临床实践中使用这种方法来诊断或预测精神障碍的临床反应。脑成像研究显示，在几种精神疾病中，存在着显著的、往往是广泛分布的异常。迈向临床应用的关键一步是需要测量大脑激活的模式，以区分患者和健康人。这要求数据分析从关注精神疾病患者组和健康个体组之间的差异转变为为特定个人确定他或她患特定疾病的可能性。本项目将开发统计分析方法，这些方法对于调查这种精神障碍的量化措施至关重要。

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.