Optimal design of fMRI experiments using circulant (almost-)orthogonal arrays
Yuan-Lung Lin, Frederick Kin Hing Phoa, Ming-Hung Kao
The Annals of Statistics · 2017 · Volume 45 · Issue 6
Abstract
Functional magnetic resonance imaging (fMRI) is a pioneering technology for studying brain activity in response to mental stimuli. Although efficient designs on these fMRI experiments are important for rendering precise statistical inference on brain functions, they are not systematically constructed. Design with circulant property is crucial for estimating a hemodynamic response function (HRF) and discussing fMRI experimental optimality. In this paper, we develop a theory that not only successfully explains the structure of a circulant design, but also provides a method of constructing efficient fMRI designs systematically. We further provide a class of two-level circulant designs with good performance (statistically optimal), and they can be used to estimate the HRF of a stimulus type and study the comparison of two HRFs. Some efficient three- and four-levels circulant designs are also provided, and we proved the existence of a class of circulant orthogonal arrays.
Keywords
05B10, 05B15, 62K15, Circulant almost orthogonal arrays, complete difference system, design efficiency, hemodynamic response function
Enable JavaScript for citation tools and additional paper interactions.