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Dear Jan,

I would recommend using the “eddy_restricted_movement_rms” info. If you average the second column it would give you a measure of “short term movement” which would cause variance due to things like slice-to-volume movement and spin history effects. If you average the second column it would give you a measure of “long term movement” which would cause variance due to for example susceptibility-by-movement interaction and “movement within a stationary bias field”. You could then use those two as covariates in your model.

An example of a paper looking at things like this would be Anastasia’s paper (http://dx.doi.org/10.1016/j.neuroimage.2013.11.027 )

Jesper

On 15 Dec 2017, at 10:17, Jan Schreiber <[log in to unmask]> wrote:

Dear Experts,

in our TBSS study we are correlating some clinical parameters with FA
values in a group of patients.

Would it make sense to correct for subject motion during scanning and if
yes, which motion parameter would you propose?

We have the "eddy_movement_rms" and "eddy_restricted_movement_rms"
output from eddy with values for every volume. Would it be reasonable to
average these to get a value for the scan?

Do you know a publication covering this topic?

Thank you very much,
Jan