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With @e-kenneally 's idea, I'm picturing something like this:
- Have a field you can place in the regressor selector (under each strategy) that is like "include_from_confounds:" or something and it's a list of column names that can be found in the ingressed confounds TSV that comes in from the output directory; if left blank or isn't present, the default is to include all (even if this crashes 3dTproject)
- This functionality will filter the ingressed confounds TSV first - with a function node, maybe using Pandas ideally; drop the columns not included in the list
- If there are other regressors in the selector for that strategy, now have it such that they are added to this filtered/reduced TSV
- Send that merged TSV to the RPool as desc-confounds_timseries
shnizzedy
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