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Added a workaround some changes in later versions of FSL
that now return a de-meaned timeseries from the highpass filter.
In FEAT, the mean is replaced, and the rest of the processing carries
on as usual. Because I don't want to break compatability with older
versions of FSL, this adds back in the mean but only if it looks
like the filtered timeseries has been de-meaned. Note: This uses
a simple heuristic, which may not be robust in all cases, so it is
important to check that the signal-to-noise maps make sense if you are
doing something that expects a nonzero timeseries mean.