Comments (2)
Thinking more about this recently, I think we're gonna go with the fsaverage6
surface for now. (I personally prefer fsaverage5
, but it seems like there exist a number of annotations in fsaverage6
format already so we take the hand we're dealt.)
Another concern: a lot of the aforementioned annotations exist largely in parcellated format (i.e., gene expression cannot exist in fsaverage6
density—except via interpolation a la Gryglewski et al., 2018, NeuroImage, I suppose...). We will have to have a good think about the best way to get some of these annotations into fsaverage6
space—or, I suppose, only provide them in parcellated form (??).
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Superseded by neuromaps!
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Related Issues (20)
- Update fetch_fsaverage to check for FreeSurfer install first
- modify plot_fsaverage to manually input parcels that shouldn't be included
- Can't find fetch_vazquez_rodriguez2019 attribute HOT 3
- fetch_fsaverage() downloads in "~\nnt-data\tpl-fsaverage"
- Conversion to float in freesurfer.parcels_to_vertices HOT 1
- Allow spins with only one hemisphere
- Add dominance analysis function HOT 1
- `fetch_civet` missing from pypi release HOT 1
- Question: functional consensus return value HOT 4
- Gamma value for consensus partition HOT 4
- colormap: how to set it always centered on zero HOT 2
- Update aspect parameter in plot_point_brain
- Error with importing the plotting module HOT 1
- Unknown vertices between fsaverage Cammoun regions
- Not compatible with Python 3.12 HOT 5
- Not compatible with `nilearn` version 0.10.1 onwards HOT 1
- cluster.find_consensus returns labels that do not exist in the input array HOT 1
- Some ideas for improving the library
- 🚨 Important Update: Breaking Changes to netneurotools 🚨
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