Published March 30, 2026 | Version v3
Preprint Open

NIBS-BIDS: an extension to the brain imaging data structure for non-invasive brain stimulation

Authors/Creators

  • 1. ROR icon Beth Israel Deaconess Medical Center
  • 2. ROR icon Harvard Medical School
  • 3. ROR icon National Research University Higher School of Economics
  • 4. ROR icon University of Milano-Bicocca
  • 5. CIMEC University of Trento
  • 6. ROR icon University of Glasgow
  • 7. Johannes Gutenberg-Universität Mainz
  • 8. ROR icon Leibniz Institute for Resilience Research
  • 9. University Medical Center of the Johannes Gutenberg University Mainz
  • 10. ROR icon Ghent University
  • 11. ROR icon National Institute of Mental Health
  • 12. Origami lab at the McGill university
  • 13. BIDS Maintainer Team
  • 14. ROR icon Dartmouth College
  • 15. ROR icon Kansas State University
  • 16. ROR icon University of Birmingham
  • 17. ROR icon University of California, Los Angeles
  • 18. ROR icon Baycrest Academy for Research and Education
  • 19. ROR icon Università Campus Bio-Medico
  • 20. ROR icon Instituto Cajal
  • 21. The University of Pennsylvania
  • 22. ROR icon Western University
  • 23. ROR icon Aalto University
  • 24. Cortisys Ltd, Espoo, Finland
  • 25. ROR icon University of Copenhagen
  • 26. ROR icon Karolinska Institutet
  • 27. ROR icon IMT School for Advanced Studies Lucca
  • 28. Monash University
  • 29. ROR icon Adelaide University
  • 30. ROR icon South Australian Health and Medical Research Institute

Description

The Brain Imaging Data Structure (BIDS) is a community standard for organizing and sharing neuroimaging data. Here we present NIBS-BIDS (BEP037), an extension of BIDS for non-invasive brain stimulation (NIBS) data. This specification introduces a dedicated nibs/ datatype with a scalable framework for storing stimulation parameters, modality-specific device metadata, spatial targeting information, and event-level synchronization for transcranial magnetic stimulation (TMS), transcranial electrical stimulation (tES), and transcranial ultrasound stimulation (TUS). We describe the proposed data structure, its design rationale, and its intended role in facilitating reproducible NIBS research.

Files

NIBS-BIDS_preprint_v1.2.pdf

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Additional details

Related works

Describes
Other: https://github.com/nigelrogasch/nibs-bids/tree/master/nibs-bids-v6/ (URL)
Is part of
Other: https://bids.neuroimaging.io/extensions/beps/bep_037.html (URL)

Dates

Created
2026-03-29
preprint version 1.0 of NIBS-BIDS (BEP037)
Updated
2026-03-29
preprint version 1.1 of NIBS-BIDS (BEP037)
Updated
2026-03-30
preprint version 1.2 of NIBS-BIDS (BEP037) / authors update

Software

Repository URL
https://bids.neuroimaging.io/extensions/beps/bep_037.html
Development Status
Active