Dear FSL experts,
I have run a multi-session temporal concatenation analysis using melodic on
20 subjects who completed in decision making task while undergoing fMRI.
The analysis ran fine, but now I am trying to figure out whether it is
possible to link each component timecourse on a subject by subject basis to
the given subject's design matrix (from an earlier feat analysis). I am
wondering if what I am doing to link timecourses with components makes
sense; any feedback would be greatly appreciated.
1. For each subject, extract relevant timecourse from the report/t*.txt.
2. Extract convolved timecourse from design.mat file for each subject at
the firstlevelanalysis.feat directory for each of 10 EVs.
3. Enter subject's timecourse as the dependent variable, and 10 EVs as
independent variables (with no intercept term) into a multiple regression.
4. Extract parameter estimates for each EV for each subject.
5.a Compute mean parameter estimate across all subjects for a given
component to determine if the component is sigificantly related to the EV of
interest.
b Compare parameter estimates across EV's (e.g. EV1 vs. EV2) for a given
component to determine if the component is significantly more active in EV1
or EV2.
Does this approach seem reasonable? If not, is there a better approach for
linking the components to conditions of interest, given that each subject is
expected to have a different timings for a given EV?
Thanks in advance,
Eric
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