Dear all,
I'm doing multiple regression on ALFF images. I'd like to perform head motion regression (in nuisance regression step) in preprocessing, and include mean FD Jenkinson as a covariate in 2nd level. Is it reasonable?
It would be great to hear your views and suggestions. Thank you very much!
Best regards,
Feng Zhou
YAN Chao-Gan
Thu, 01/30/2014 - 09:56
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Hi Feng,
Hi Feng,
As in one of our recent studies (Yan, C.G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R.C., Di Martino, A., Li, Q., Zuo, X.N., Castellanos, F.X., Milham, M.P., 2013. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 76, 183-201.), ALFF is relatively sensitive to motion (as compared to fALFF). I will suggest you to perform Friston 24 regression, but avoid scrubbing for the current ALFF implementation. At the group level analysis, using mean FD Jenkinson as a covariate is a reasonable way to control motion related false positives (though control at a linear level).
Best,
Chao-Gan
banyu
Thu, 01/30/2014 - 13:10
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Hi Chao-Gan,
Hi Chao-Gan,
Thanks for your help! I'll try Friston 24 regression.
Happy Chinese New Year of horse!
Feng Zhou
flgarcia
Tue, 10/24/2017 - 16:51
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mean of FD Jenksinson for 2 runs, same subject
Hi Dr. Yan,
I am using this procedure as described in your 2013 paper. To apply FD Jenksinson as a group-level covariate when there are 2 runs per subject, is it appropriate to use the arithmetic mean of the FD value for both runs? That is how I am working with the multiple r-to-z FC maps, can you please let me know if there are any problems with these steps?
Thanks in advance,
Felix
YAN Chao-Gan
Wed, 10/25/2017 - 02:09
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You can use mean FD and mean
You can use mean FD and mean FC map for each subject.
flgarcia
Wed, 10/25/2017 - 22:09
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thank you
Perfect, thank you for verifying this!