Academic-led infrastructure for open neuroimaging

The next MRI dataset already exists—across our institutions.

Our CortexMAE work found strict power-law improvement as open fMRI pretraining data grew. Scaling Neuro gives US academic labs a low-friction, institution-governed path to build that shared commons together.

Built by academic neuroimaging researchers behind MindEye, CortexMAE, and Brainmarks

THE SCALE OPPORTUNITY ONE YEAR

One year can exceed decades of shared data.

Sources + assumptions

UK Biobank 100k · OpenNeuro MRI 50,674 · HCP 1,113. Six centers use BU’s 27,577 MRI exams/year. Capacity comparison only: exams are not participants, and not every exam is brain imaging, consented, or shareable. The dotted curve is a conceptual extension of the strict data-scaling trend reported in CortexMAE, not a performance projection.

01 — The contribution flow

One approved folder becomes a continuous contribution.

Point the tool at the folder where DICOMs already land. No labels or manual curation required.

01 / Consent

Approve

Only approved projects enter.

02 / Capture

Watch

Detect new series automatically.

03 / De-ID

Strip

Remove identifying metadata locally.

04 / Privacy

Clear

Process structural faces; hold uncertainty.

05 / Commons

Share

Encrypt, transfer, and return access.

02 — The archive

A bucket humans can actually understand.

Browse by participant, compare metadata, and inspect a scan instantly. Synthetic public previews · real NIfTI stays local

01

Functional: clearedConsent + metadata de-identification.

02

Structural: clearedLocal face processing + privacy check.

03

Compute: beside dataAvoid needless duplication.

Instant View · loading // loading preview

Select one of the synthetic collection previews. Local development can also load a private NIfTI test volume.

03 — For every new session

Point it at one folder. Let every future scan count.

Keep the scanner workflow. One portable tool clears approved functional and structural scans locally, then shares only what passes.

One commandCPU-onlyFails closed
# the downloadable preview is safe: it reads and uploads nothing
$ bash neuro-sync-preview.sh --deface auto ./new_session_dicoms
 Source folder accepted: ./new_session_dicoms
 Plan: classify → de-identify → privacy-check → upload
 Laptop mode: CPU-only · one series at a time · resumable
i Preview mode only. No files were opened or transmitted.
# proposed experience — one file; privacy pack fetched only if needed
$ ./neuro-sync ./my_lab_dicoms --project LAB_04

[device] CPU-only · 1 series at a time · safe to stop and resume
[watch]  ./my_lab_dicoms  →  4 new series
   task-rest_bold    EPI 2.0mm  480 vol   shared
   task-movie_bold   EPI 1.6mm  610 vol   shared
   dwi_dir98         DWI 1.5mm   99 vol   shared
   T1w_mprage        face → processed → QC pass   shared
[deid]  stripped PHI · kept scanner·field·TR·TE
[up]    s3://scaling-neuro/  (encrypted)  complete
consent  only process projects approved for open research sharing
watch    the DICOM directory for newly written series
detect   modality and whether structural facial anatomy is present
clear    process faces locally; no-face FOVs pass unchanged
verify   check face removal and brain preservation
hold     anything uncertain stays on this machine
budget   one scan at a time; checkpoint every completed series
convert  DICOM → research-ready NIfTI
deid     remove names, MRNs, dates; keep TR/TE, field
upload   to encrypted, redundant S3 (server-side enc.)
rule     nothing leaves the building without a privacy pass
Download safe preview script
safe preview  ·  reads and uploads nothing  ·  production CLI forthcoming