A MATLAB-based tool for converting fNIRS time-series data to Homer3-compatible formats
Functional Near-Infrared Spectroscopy (fNIRS) is increasingly used in cognitive neuroscience and clinical research, yet preprocessing raw time-series data remains challenging. We introduce a lightweight MATLAB tool to automate the conversion of fNIRS data into Homer3-compatible “*.nirs” format. Our solution targets non-SNIRF raw data and offers a standardized, user-friendly method to streamline fNIRS data preparation. This Technical Note describes the tool's design, workflow, and potential improvements for future development.
Authors
- Xiaojun Cheng (ORCID: https://orcid.org/0000-0002-3568-0603)
- Chao Wang (ORCID: https://orcid.org/0000-0002-1560-6182)
- Shichao Liu (ORCID: https://orcid.org/0000-0002-0642-9700)
Institutions
- Worcester Polytechnic Institute (US)
- Harvard University (US)
- McLean Hospital (US)
- Neurophotonics Laboratory (FR)
- NeoPhotonics (United States) (US)
Publication Details
- Journal
- Neuroscience Informatics
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1016/j.neuri.2025.100205
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Worcester Polytechnic Institute