Work

A MATLAB-based tool for converting fNIRS time-series data to Homer3-compatible formats

Year: 2025

Type: article

Abstract: 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.

Source: Neuroscience Informatics

DOI: 10.1016/j.neuri.2025.100205

Authors: Chao Wang, Xiaojun Cheng, Shichao Liu

Institutions: Worcester Polytechnic Institute, Harvard University, McLean Hospital, Boston University

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,590

Funder: Worcester Polytechnic Institute