Optimal design of fMRI experiments using circulant (almost-)orthogonal arrays
| Autor: | Frederick Kin Hing Phoa, Ming-Hung Kao, Yuan Lung Lin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
Optimal design Property (programming) hemodynamic response function 01 natural sciences Rendering (computer graphics) 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Statistical inference medicine 0101 mathematics Circulant matrix Mathematics medicine.diagnostic_test Function (mathematics) Circulant almost orthogonal arrays design efficiency 05B15 62K15 05B10 Statistics Probability and Uncertainty Orthogonal array Functional magnetic resonance imaging Algorithm 030217 neurology & neurosurgery complete difference system |
| Zdroj: | Ann. Statist. 45, no. 6 (2017), 2483-2510 |
| ISSN: | 2483-2510 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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