OPTIMAL EXPERIMENTAL DESIGNS FOR FMRI VIA CIRCULANT BIASED WEIGHING DESIGNS

• 成果类型: Article
• 署名作者: Cheng, Ching-Shui; Kao, Ming-Hung
• 署名单位: Academia Sinica - Taiwan; University of California System; University of California Berkeley; Arizona State University; Arizona State University-Tempe
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/15-AOS1352
• 发表日期: 2015
• 页码: 2565-2587
• 关键词: event-related fmri; multiple trial types; optimization; entropy; POWER

摘要

Functional magnetic resonance imaging (fMRI) technology is popularly used in many fields for studying how the brain reacts to mental stimuli. The identification of optimal fMRI experimental designs is crucial for rendering precise statistical inference on brain functions, but research on this topic is very lacking. We develop a general theory to guide the selection of fMRI designs for estimating a hemodynamic response function (HRF) that models the effect over time of the mental stimulus, and for studying the comparison of two HRFs. We provide a useful connection between fMRI designs and circulant biased weighing designs, establish the statistical optimality of some well-known fMRI designs and identify several new classes of fMRI designs. Construction methods of high-quality fMRI designs are also given.