ME-ICA / ME-ICA/open-multi-echo-data
SoCal Kinesia and Incentivization for Parkinson's Disease (SKIP): Ultra-High Field Functional Connectivity
Open
Nobody has claimed this yet.
3-echo
7T
datasets
physio
- Dominant language
- HTML
- Stars
- 2
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
## Location
https://openneuro.org/datasets/ds005264/versions/1.0.0
## Basic Info
21 participants, 3 echoes, lots of physio, resting-state
## Derivatives
- [ ] afni_proc.py
- [ ] fMRIPrep
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the OpenNeuro dataset at the linked URL and review its 21 participants, three echoes, physiological recordings, and resting-state design. Determine the project’s process for producing the two listed derivatives, afni_proc.py and fMRIPrep; done means both checklist items are completed for this dataset.
Written by the indexing model from the issue text.
Assessment
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100