Application of conformal predictors to functional magnetic resonance imaging research

共形预测器在功能磁共振成像研究中的应用

• 批准号: G0802594/1
• 负责人: Cynthia Fu
• 金额: $ 12.74万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0802594%2F1
• 关键词: Application; conformal; predictors; functional; magnetic

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.

血糖水平是糖尿病诊断和治疗决策的重要指标。然而，目前在临床实践中还没有这种方法用于精神疾病的诊断或临床反应预测。脑成像研究揭示了几种精神疾病中显著的、通常是广泛的异常。迈向临床应用的关键一步将需要对大脑活动模式进行测量，从而将患者与健康人区分开来。这需要数据分析的转变，从关注精神疾病患者群体和健康个体群体之间的差异，到确定特定个体患特定疾病的可能性。本项目将发展统计分析方法，这些方法对于调查精神疾病的定量措施至关重要。