ME-ICA / ME-ICA/open-multi-echo-data
NODEAP fMRI dataset
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Description
Location
https://openneuro.org/datasets/ds006693/versions/1.0.0
Basic Info
48 subjects, several sessions per subject (one of which is for the T1w), 3 echoes, resting-state fMRI.
Study summary: a study testing differential roles of the anterior (aOFC) and posterior (pOFC) lateral orbitofrontal cortex in outcome-guided (goal-directed) behavior. Participants completed odor-reward learning and outcome devaluation across multiple sessions. Network-targeted TMS was applied to aOFC or pOFC in separate sessions to probe effects on learning vs. value inference.
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 https://openneuro.org/datasets/ds006693/versions/1.0.0 and review how this repository records dataset metadata and derivative status. Document the NODEAP dataset using the supplied subject, session, echo, and study details, and verify whether afni_proc.py or fMRIPrep derivatives are available.
Written by the indexing model from the issue text.
Assessment
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100