Print

Print
Hi

there are potential issues with the autocorrelation modelling that FEAT employs, see 
Bartsch, A.J. et al. (2007)
Scanning for the Scanner: FMRI of Audition by Read-Out Omission from Echo-Planar Imaging
NeuroImage, 35(1):234--243

for some more discussion on how to model this type of data using FSL tools
hth
Christian

On 31 Oct 2007, at 05:28, Xu Chen wrote:

Hi, all

 I am trying to model my fMRI data in FEAT. My data is a little bit different from the average in that my data collection is non continuous.

Namely, in an experiment with TR=2s, the fMRI data are collected in the 2nd, 5th, 8th, and 11th  8 seconds. While in the 1st, 3rd, 4th, 6th,7th, 9th, 10th and 12th 8 seconds, no fMRI data are collected.

Are there anything that I should pay attention to for modeling this kind of fMRI dataset in FEAT? Or just model this data as the average fMRI data?

Thanks

CHen