Dataset at a Glance¶

This page gives you a quick overview of everything in LAION-fMRI and helps you find the files you need.

At a Glance¶

Participants

5 deeply-sampled subjects

Stimuli

~25,000 unique images

Sessions

165 sessions (34 per subject)

Dataset Size

Todo

Total size in TB

What’s Included¶

Todo

Brief prose overview (4-6 sentences) of what the dataset contains, linking to the relevant detail pages. This replaces the old summary table — a narrative reads better here than a giant key-value list. Mention:

Raw + preprocessed fMRI → fMRI Data, Preprocessing
Anatomical scans + FreeSurfer → Anatomical Data
GLMsingle betas → GLMsingle Beta Estimates
Stimuli + metadata → Stimulus Data
ROIs, retinotopy, localizers → ROIs, Retinotopy, Functional Localizers
Train/test splits → Train / Test Splits
License

Dataset Structure¶

Todo

Paste the actual top-level BIDS directory tree here. This should reflect the real file/folder names, task labels, and derivative directories.

LAION-fMRI/
└── ... (placeholder — fill with actual directory tree)

Available Spaces¶

Todo

List all coordinate spaces the data is provided in, with resolutions.

Space	Description	Resolution
(placeholder)	(placeholder)	(placeholder)

ROIs¶

Todo

Brief summary of available ROI sets. For full details, point to ROIs.

ROI set	Description	How defined
(placeholder)	(placeholder)	(placeholder)

What Files Do I Need?¶

Not everyone needs the full dataset. Start from your use case below to find the relevant files and documentation pages.

Encoding / decoding models¶

This is the most common use case (e.g. Algonauts challenge participants).

What you need	Details
Single-trial beta estimates	`derivatives/glmsingle/sub-XX/` — see GLMsingle Beta Estimates
Stimulus images & metadata	`stimuli/` — see Stimulus Data
Train / test splits	Predefined splits for model evaluation — see Train / Test Splits
ROI masks (optional)	`derivatives/rois/` — see ROIs

RSA / pattern similarity analyses¶

What you need	Details
Single-trial betas	`derivatives/glmsingle/sub-XX/` — see GLMsingle Beta Estimates
Stimulus metadata & categories	`stimuli/stimuli.tsv` — see Stimulus Data
ROI masks	`derivatives/rois/` — see ROIs

Retinotopic or localizer analyses¶

What you need	Details
Retinotopic maps	`derivatives/retinotopy/` — see Retinotopy
Functional localizer contrasts	`derivatives/localizers/` — see Functional Localizers
ROI masks	`derivatives/rois/` — see ROIs

Preprocessing from scratch¶

If you want to run your own preprocessing pipeline instead of using the fMRIPrep outputs we provide.

What you need	Details
Raw BOLD data	`sub-XX/func/` — see fMRI Data
T1w anatomical scans	`sub-XX/anat/` — see Anatomical Data
Event timing files	`sub-XX/func/*_events.tsv` — see Experimental Design
Diffusion data (if needed)	`sub-XX/dwi/` — see Diffusion Data

Tip

For details on the preprocessing we already ran, see Preprocessing. For MRI acquisition parameters, see MRI Acquisition.

Data Formats¶

Data type	Format	Notes
MRI volumes	NIfTI (.nii.gz)	3D (anatomical) or 4D (functional/betas)
Metadata	JSON (.json)	BIDS sidecar files
Events / behavioral	TSV (.tsv)	Tab-separated, BIDS-compliant
Stimulus images	(placeholder)	(placeholder)
Stimulus metadata	TSV + JSON	Stimulus properties and categories