Genetic Algorithm for fMRI
Wager, T.D. and T.E. Nichols, Optimization of experimental design in fMRI: a general framework using a genetic algorithm. Neuroimage, 2003. 18(2): p. 293-309. See the CAN Lab Website papers page.
The original GA help, which is also saved in the toolbox folder, is here.
The help file for the second GA, “GA2”, is here. It may be helpful for designs with multiple dependent parts, but I do not consider the re-implementation a success and I recommend the original GA.
There is a relatively complete walkthrough of experimental design issues, including use of the GA, from the University of Michigan Summer fMRI Course. The 2010 GA lab is here.
Movies associated with the fMRI Course workshop are here: Design specification, part 1 Design specification, part 1
Design specification, part 2 Design specification, part 2
Testing variance inflation factors Testing variance inflation factors
Translating a GA-optimized design into SPM Translating a GA-optimized design into SPM