Open multisession fNIRS-EEG dataset tracks motor recovery in 16 stroke patients
Mar 10th 2026
An open access Scientific Data paper releases an 84-session multimodal fNIRS-EEG dataset from 16 stroke patients performing intact and paretic hand movements, including raw and processed signals, clinical scores and analysis code on Figshare.
- Dataset contains simultaneous fNIRS and EEG recordings from 16 post-stroke patients collected across 84 rehabilitation sessions.
- Recordings capture motor tasks with both paretic and intact hands and include raw and preprocessed signals.
- Clinical assessments provided include ARAT and Fugl-Meyer scores along with patient demographics.
- Python scripts for data import, basic preprocessing and plotting are bundled with the data on Figshare at https://doi.org/10.6084/m9.figshare.28904942.
- Paper published 14 February 2026 in Scientific Data and is shared as an unedited early manuscript version.
- The dataset is meant to support research on stroke recovery, neurorehabilitation strategies and fNIRS-based brain computer interfaces, and is distributed under a CC BY-NC-ND 4.0 license that restricts commercial use and adapted sharing.