Open-access multidistance fNIRS dataset generated during ball-squeezing and motion-artifact induction tasks

Abstract

Significance: Although multidistance functional near-infrared spectroscopy (fNIRS) features higher spatial resolution and depth specificity compared with sparse fNIRS arrays, no open-access multidistance fNIRS dataset is available for motor and motion-artifact induction tasks.

Aim: In this data descriptor, we introduce an open-access, multidistance fNIRS dataset to facilitate algorithm development and validation.

Approach: The dataset was collected from 12 healthy young adults using a multidistance probe placed over the bilateral motor cortex. The experimental protocol included resting state task, ball-squeezing task, and motion-artifact induction task. Signal quality and motion artifact were quantitatively assessed using signal-to-noise ratio (SNR), motion artifact ratio (MAR), channel pruning statistics, and coefficient of variation (c.v.) across shorter (19 mm) and longer (32.9 mm) channels. The motion-artifact induction task was characterized using percent signal change, HbO/HbR concentration changes, and accelerometer data across six motion types.

Results: Both resting and ball-squeezing tasks induced higher SNR and lower MAR than motion-artifact induction task. Shorter channels exhibited significantly higher SNR than longer channels during resting state. Unilateral ball-squeezing motion-induced oxy-hemoglobin increases in the contralateral motor cortex. Tilting up produced the largest and saying hello produced the smallest artifact across the six motion types. Head-tilting motions produced larger accelerometer changes than facial motions.

Conclusions: We expect that this open-access dataset will accelerate the development and validation of algorithms specifically designed for multidistance fNIRS.

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BibTeX RIS

BibTeX

@article{zhou2026openaccess,
  title = {{Open-access multidistance fNIRS dataset generated during ball-squeezing and motion-artifact induction tasks}},
  author = {Shibo Zhou and De’Ja Rogers and David A. Boas and Meryem A. Yücel and Yuanyuan Gao},
  journal = {Neurophotonics},
  year = {2026},
  month = aug,
  doi = {10.1117/1.nph.13.s3.s32606},
  url = {https://doi.org/10.1117/1.nph.13.s3.s32606},
  note = {CC BY 4.0},
}

RIS

TY  - JOUR
TI  - Open-access multidistance fNIRS dataset generated during ball-squeezing and motion-artifact induction tasks
AU  - Shibo Zhou
AU  - De’Ja Rogers
AU  - David A. Boas
AU  - Meryem A. Yücel
AU  - Yuanyuan Gao
PY  - 2026
DA  - 2026/08/01
JO  - Neurophotonics
DO  - 10.1117/1.nph.13.s3.s32606
UR  - https://doi.org/10.1117/1.nph.13.s3.s32606
AB  - Significance: Although multidistance functional near-infrared spectroscopy (fNIRS) features higher spatial resolution and depth specificity compared with sparse fNIRS arrays, no open-access multidistance fNIRS dataset is available for motor and motion-artifact induction tasks.  Aim: In this data descriptor, we introduce an open-access, multidistance fNIRS dataset to facilitate algorithm development and validation.  Approach: The dataset was collected from 12 healthy young adults using a multidistance probe placed over the bilateral motor cortex. The experimental protocol included resting state task, ball-squeezing task, and motion-artifact induction task. Signal quality and motion artifact were quantitatively assessed using signal-to-noise ratio (SNR), motion artifact ratio (MAR), channel pruning statistics, and coefficient of variation (c.v.) across shorter (19 mm) and longer (32.9 mm) channels. The motion-artifact induction task was characterized using percent signal change, HbO/HbR concentration changes, and accelerometer data across six motion types.  Results: Both resting and ball-squeezing tasks induced higher SNR and lower MAR than motion-artifact induction task. Shorter channels exhibited significantly higher SNR than longer channels during resting state. Unilateral ball-squeezing motion-induced oxy-hemoglobin increases in the contralateral motor cortex. Tilting up produced the largest and saying hello produced the smallest artifact across the six motion types. Head-tilting motions produced larger accelerometer changes than facial motions.  Conclusions: We expect that this open-access dataset will accelerate the development and validation of algorithms specifically designed for multidistance fNIRS.
SN  - 2329-423X
SN  - 2329-4248
ER  -

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