Taylor Salo

It's probably best to point to a gist that we can easily update: https://gist.github.com/tsalo/83828e0c1e9009f3cbd82caed888afba. We could even embed it in the docs, I think ``

While I understand why you might not want to re-run fMRIPrep on your data, fMRIPrep 21.0.0 does have an option to output the semi-preprocessed echoes (`--me-output-echos`). Given that your situation...

Oh yes, good catch. Definitely one of the lower priority enhancements. I'll add that tag now.

I think that incorporating a new method for estimating T2*/S0 should be pretty straightforward, but this specific method (which returns T2*, I0, I0L, and maybe T2*L) seems like it will...

At OHBM I believe that an implementation of the biexponential model was mentioned at some point. If we can hunt that down and merge the code into `tedana` directly, that...

A list of models I've come across. I couldn't find implementations for any of them. - [Speck, Ernst, & Chang (2001)](https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.1147): Two T2* estimates- one for parenchyma (10-100ms) and one...

We will circle around to this at some point.

The T2* map shouldn't be the boldref since we removed that option in #2109, right?

You're right. For posterity, here it is: https://github.com/nipreps/fmriprep/blob/a02c1c110966fd3f357c222992aa670d234da396/fmriprep/workflows/bold/base.py#L1005-L1008 I'm not sure why that was done. In #2181, we started calculating the final boldref based on the first echo's STC+MCed data...

>Would people just want the raw T2* map or transformed into the --output-space-declared spaces, or both? The main benefit is in running tedana, but it can also be useful for...