fMRI Data

Todo

Introductory narrative (2-3 sentences): What functional data is provided (raw + preprocessed), how many runs/sessions per subject, and what task(s).

For acquisition parameters, see MRI Acquisition. For preprocessing details, see Preprocessing.

Todo

Add a figure showing example raw vs preprocessed BOLD data (e.g., a single slice before and after preprocessing, or a carpet plot).

Example BOLD data

Example raw and preprocessed BOLD data for one subject. (placeholder — replace with actual figure)

Raw Functional Data

Todo

Brief narrative: What’s in the raw data? How many runs per session, how many sessions? Were any runs excluded, and if so, is there a list?

File Organization

Todo

Paste the actual file tree for a representative subject. Include all task labels, run numbers, and associated files (BOLD, events, JSON sidecars).

sub-XX/
└── func/
    └── ... (placeholder — fill with actual file listing)

Preprocessed Functional Data

Todo

Brief narrative: Which pipeline produced these, what’s the key output users should grab? Cross-ref Preprocessing for pipeline details.

File Organization

Todo

Paste the actual file tree from derivatives/fmriprep/sub-XX/func/.

derivatives/fmriprep/
└── sub-XX/
    └── func/
        └── ... (placeholder — fill with actual file listing)

Available Spaces

Todo

List the output spaces the preprocessed data is available in and the resolution for each.

Confounds

Todo

Document the confound columns available in the confounds TSV. Which columns are included? Are there recommended confound strategies, or do you leave that to the user?

Loading Functional Data

Todo

Provide minimal, correct code examples for loading raw and preprocessed data. Only add once file paths are finalized.