cosanlab / cosanlab/nltools

Slice time correction defaults

Open
#420 1 comment 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
130
Forks
48
Avg merge
6h 42m
Merged PRs (30d)
34

Description

Hi,

It would be nice to have a feature for implementing slice time corrections for first level modeling. Or, at least to provide some documentation about how nilearn treats slice time corrections and how to adjust our data ,if slice time correction was done, to be compatible with nltools. Some (like me) may not realize that different softwares have different views and defaults on slice time correction (e.g. [default of fmriprep is to do it](https://reproducibility.stanford.edu/slice-timing-correction-in-fmriprep-and-linear-modeling/), nltools does not do it by default).

Thank you!

Contributor guide

Open the contributing guide

Research direction

Start with nltools' first-level modeling entry points and the slice-time correction behavior described in the issue, then review the linked fMRIPrep documentation for comparison. Done would mean either a documented path for making already-corrected data compatible with nltools or a clearly specified slice-time correction feature and default.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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