That’s right (note that MSMAll calculates the registration and dedriftandresample applies it. How much resting state in minutes do you have?
Matt.
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You might get better results if you used both the resting state and the task fMRI.
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If you list all the runs in fmri-names-list delimited by @ you will run MSMAll using all of them in a merged file. The final resampling occurs later in dedrift and resample, which is called separately.
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That is the name of the concatenated timeseries that gets built. The basic idea is that MSMAll uses myelin maps and fMRI to compute a functional alignment of align your subjects’ data. Then dedrift and resample applies this alignment to all of your data, making MSMAll versions of all the data. You can then use the improved alignment in downstream cross-subject analyses.
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Hi,
I’m not sure if there is a misconception here, but MSMAll is not “cleaning” the data. --fmri-names-list is the list of input fMRI runs that you want the MSMAll registration to use as part of calculating the registration.
Cheers,
-MH
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Michael Harms, Ph.D.
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Associate Professor of Psychiatry
Washington University School of Medicine
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For DedriftAndResample, it is all about what you want done to the data. If you want FIX reapplied to fMRI data (you do if you have already cleaned that data with FIX) then add it to the fix names (and these days probably you wouldn’t use the dontFixNames, as we recommend cleaning all fMRI data with FIX).
The RegName will need to match the output of MSMAll, but you can set ConcatRegName to whatever you want. I think you can keep the DeDriftRegFiles unless Tim disagrees.
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The RegName is what references the output of MSMAll. We reapply FIX because we start from the native mesh timeseries when resampling and that hasn’t been cleaned.
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