Taylor Salo

I'm not actually sure if the GSR function does anything special that we would need to also do for external regressors.

The GSR function includes Legendre polynomials, but I don't know if we would need that for "external" regressors. Other than that, it seems to just mean-center each echo's data, regress...

>I was thinking along the lines of seeing if each component would work better by determining time lags, but now that I think of it, that gets complicated very quickly....

If we were to run rapidtide, or any kind of external regressor-based denoising prior to the ICA step, I think we should calculate the full range of dependence metrics and...

I tried creating a workflow to denoise the individual echoes with external regressors (and calculate dependence metrics for those regressors) in #1097, but ICA wouldn't converge on subsequent tedana runs,...

Let's just filter out that warning like this: https://stackoverflow.com/a/9134842/2589328

Ah, I see that "low variance" and "accept borderline" only exist as classification tags in the `meica` and `tedana_orig` trees.

> For loading the dataset, you have a hard coded local path. I don’t think this needs to be automatic, but it would be better to tell people where they...

I might be misremembering/misunderstanding @handwerkerd's proposed ratio method, but I believe it was something like, if X% of echoes before the last good echo are bad, then set the adaptive...

What about using 50% as a threshold? If >50% of echoes up to the last good echo are bad, then we go to the last good echo before that and...