Hello,

Usually we exclude subjects with movement greater than 2 mm. However, we have a dataset with very few subjects due to increased movement. We want to somehow remove bad volumes due to movement greater than 2 mm before running them through Conn. We have used your ART toolbox to obtain outliers as well as the 0/1 matrix to input as covariates within a GLM. Is it possible to input that mat file into conn as a first-level covariate? Will it remove those bad volumes? Also, if this is possible, what should we set as the duration of the scan?

Would carrying out this process be redundant with the current aCompCor function of Conn? 

Any help will be appreciated!!

Thanks,
Kaylah