Full metadata
Title
Robust experimental designs for fMRI with an uncertain design matrix
Description
Obtaining high-quality experimental designs to optimize statistical efficiency and data quality is quite challenging for functional magnetic resonance imaging (fMRI). The primary fMRI design issue is on the selection of the best sequence of stimuli based on a statistically meaningful optimality criterion. Some previous studies have provided some guidance and powerful computational tools for obtaining good fMRI designs. However, these results are mainly for basic experimental settings with simple statistical models. In this work, a type of modern fMRI experiments is considered, in which the design matrix of the statistical model depends not only on the selected design, but also on the experimental subject's probabilistic behavior during the experiment. The design matrix is thus uncertain at the design stage, making it diffcult to select good designs. By taking this uncertainty into account, a very efficient approach for obtaining high-quality fMRI designs is developed in this study. The proposed approach is built upon an analytical result, and an efficient computer algorithm. It is shown through case studies that the proposed approach can outperform an existing method in terms of computing time, and the quality of the obtained designs.
Date Created
2014
Contributors
- Zhou, Lin (Author)
- Kao, Ming-Hung (Thesis advisor)
- Reiser, Mark R. (Committee member)
- Stufken, John (Committee member)
- Welfert, Bruno (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vi, 31 p. : col. ill
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.26818
Statement of Responsibility
by Lin Zhou
Description Source
Retrieved on Dec. 23, 2014
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2014
Note type
thesis
Includes bibliographical references (p. 29)
Note type
bibliography
Field of study: Statistics
System Created
- 2014-12-01 07:01:20
System Modified
- 2021-08-30 01:32:23
- 2 years 8 months ago
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