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Optimum Experimental Design Issues in Functional Neuroimaging Studies


Abstract Functional magnetic resonance imaging (fMRI) is one of the popular tools to study human brain functions. High-quality experimental designs are crucial to the success of fMRI experiments as they allow the collection of informative data for making precise and valid inference with minimum cost. The primary goal of this study is on identifying the best sequence of mental stimuli (i.e. fMRI design) with respect to some statistically meaningful optimality criteria. This work focuses on two related topics in this research field. The first topic is on finding optimal designs for fMRI when the design matrix is uncertain. This challenging design issue occurs in many modern fMRI experiments, in which the design matrix of the statistical model depends ... (more)
Created Date 2017
Contributor Zhou, Lin (Author) / Kao, Ming-Hung (Advisor) / Welfert, Bruno (Advisor) / Jackiewicz, Zdzislaw (Committee member) / Reiser, Mark (Committee member) / Stufken, John (Committee member) / Taylor, Jesse Earl (Committee member) / Arizona State University (Publisher)
Subject Applied mathematics
Type Doctoral Dissertation
Extent 118 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Applied Mathematics 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis