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help > negative confound-corrected time-series
Jul 26, 2017 03:07 PM | Stavros Skouras - Barcelonabeta Brain Research Center
negative confound-corrected time-series
Dear Alfonso,
I also have the same issue: I would like to use the confound-corrected time-series in a further analysis (outside of CONN), which expects the data in a positive range.
I tried switching the default BOLD signal units to "Raw" but the niftiData are still in the range {-500 500}.
Is there an option to avoid centering around 0?
Alternatively, what would be the best way to re-center our data?
Would it suffice to estimate the static mean of the original data and then add that to the confound-corrected time-series, or would the mean have to be estimated and added to the images volume-per-volume?
Moreover, have the units been scaled in some way as a result of the (simultaneous) filtering/regression as well?
Many thanks,
Stavros
I also have the same issue: I would like to use the confound-corrected time-series in a further analysis (outside of CONN), which expects the data in a positive range.
I tried switching the default BOLD signal units to "Raw" but the niftiData are still in the range {-500 500}.
Is there an option to avoid centering around 0?
Alternatively, what would be the best way to re-center our data?
Would it suffice to estimate the static mean of the original data and then add that to the confound-corrected time-series, or would the mean have to be estimated and added to the images volume-per-volume?
Moreover, have the units been scaled in some way as a result of the (simultaneous) filtering/regression as well?
Many thanks,
Stavros
Threaded View
Title | Author | Date |
---|---|---|
Adi Maron-Katz | Jul 24, 2017 | |
Stavros Skouras | Jul 26, 2017 | |