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A Genetic Algorithm for Trial Structure Design in Rapid Event-related Fmri

 Tor D. Wager, John Jonides, Douglas C. Noll and Edward E. Smith
  
 

Abstract:
In many experimental paradigms, the constraints on timing imposed by fMRI appreciably change the nature of the task. Spacing trials close together in time, however, decreases the ability to detect differences between conditions due to the slow hemodynamic response. We present a genetic algorithm and simulations designed to enable fMRI designs with very short inter-trial intervals (around 1 s). The genetic algorithm finds an order of trial presentation across experimental conditions that simultaneously maximizes the signal in the design at detectable frequencies, minimizes the colinearity between predictors in the design matrix, and minimizes deviations from a perfectly counterbalanced design. Simulation results are applied to an event-related fMRI study of task switching. The imaging results show that trial spacing of less than 1.5 seconds apart is viable for at least some cognitive paradigms.

 
 


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