I have a task and resting multi-echo datasets. Very nice to see that fmriprep now has a multiecho pipeline. However, as far as I can see, fmriprep does not yet apply multiecho ICA denoising. For this, I would still be required to use tedana. My query is regarding the optimal pipeline for processing my multiecho datasets with me-ica denoising.
Does the following approach sound sensible:
- Use fmriprep to perform slice-timing correction on multiecho dataset.
- Use tedana to optimally combine multiecho-data and perform ICA denoising, removing motion, physiology, etc… non-bold components.
- Feed optimally combined and denoised multiecho data to fmriprep for normalisation and distortion correction using field map.
Please let me know if this sounds like a sensible approach, or whether there is an imminent release of fmriprep with me-ica denoising.
Thank you in advance for your help.