fMRI Data Analysis using IRVA
(Inter-Repetition Variance Analysis)


Analysis of Variance (IRVA) can be used to detect activations in fMRI data, without specifying the shape of the time course expected. IRVA is commonly used to analyse evoked potentials, and is suited to the type of experiment where the same stimulus is presented a number of times, and to which the shape of the response is the same following each presentation, but this shape is not predictable. The FMRIB implementation is described here.



Running IRVA


Cyclic IRVA


Triggered IRVA


Theory behind using IRVA for fMRI Analysis

For the theory behind IRVA see section 6.3.5. of my PhD thesis, or
Clare, S., Humberstone, M., Hykin, J., Blumhardt, L., Bowtell, R. and Morris, P. (1999) Detecting Activations in Event-Related fMRI Using Analysis of Variance Magnetic Resonance in Medicine. 42 1117-1122.


Stuart Clare 18.2.00