A fast algorithm for constructing efficient event-related functional magnetic resonance imaging designs

作者：Kao Ming Hung^*; Mittelmann Hans D

来源：Journal of Statistical Computation and Simulation, 2014, 84(11): 2391-2407.

DOI：10.1080/00949655.2013.804524

• A-optimality
• autoregressive process
• cyclic permutation
• D-optimality
• genetic algorithms
• hill-climbing technique
• maximin designs

We propose a novel, efficient approach for obtaining high-quality experimental designs for event-related functional magnetic resonance imaging (ER-fMRI), a popular brain mapping technique. Our proposed approach combines a greedy hill-climbing algorithm and a cyclic permutation method. When searching for optimal ER-fMRI designs, the proposed approach focuses only on a promising restricted class of designs with equal frequency of occurrence across stimulus types. The computational time is significantly reduced. We demonstrate that our proposed approach is very efficient compared with a recently proposed genetic algorithm approach. We also apply our approach in obtaining designs that are robust against misspecification of error correlations.

• 出版日期2014