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Hi, If you have framewise displacement values (from fsl_motion_outliers) from each first level then it is easy to average them to generate a value for your second-level EV. If you only have the first-level MCFLIRT output from FEAT then you can generate something _very_ similar by taking the value from prefiltered_func_data_mcf_rel_mean.rms The values in prefiltered_func_data_mcf_abs_mean.rms give you RMS displacement (_very_ similar to framewise displacement) between each image and the fixed reference image, whereas prefiltered_func_data_mcf_rel_mean.rms gives you these values between one image and the next image in the series. All the best, Mark From: FSL - FMRIB's Software Library <[log in to unmask]<mailto:[log in to unmask]>> on behalf of "Subscribe FSL Erin W." <[log in to unmask]<mailto:[log in to unmask]>> Reply-To: FSL - FMRIB's Software Library <[log in to unmask]<mailto:[log in to unmask]>> Date: Thursday, 16 June 2016 at 16:09 To: "[log in to unmask]<mailto:[log in to unmask]>" <[log in to unmask]<mailto:[log in to unmask]>> Subject: Re: [FSL] Motion Correction - dvars Hi, I wanted to follow-up on my previous post. Is it possible to derive mean framewise displacement for each participant and include as a covariate in group-level analysis (without having to rerun all earlier steps)? Further, can someone enlighten me as to what the displacement variables generated by MCFLIRT (when I preprocessed my data) represent, particularly in comparison to "framewise displacement"? The variables I am seeking clarification on are: prefiltered_func_data_mcf_abs_mean.rms and prefiltered_func_data_mcf_rel_mean.rms . I'm new(er) to fMRI connectivity analysis, and despite trying to do a lot of reading on the above questions, am still having trouble fully understanding. Thank you for your patience and any help. Best, Erin