Wearable MEG data recorded during human stepping

Non-invasive spatiotemporal imaging of brain activity during large-scale, whole body movement is a significant methodological challenge for the field of movement neuroscience. Here, we present a dataset recorded using a new imaging modality - optically-pumped magnetoencephalography (OP-MEG) - to record brain activity during human stepping. Participants (n=3) performed a visually guided stepping task requiring precise foot placement while dual-axis and triaxial OP-MEG and leg muscle activity (electromyography, EMG) were recorded. The dataset also includes a structural MRI for each participant and foot kinematics. This multimodal dataset offers a resource for methodological development and testing for OPM data (e.g., movement-related interference rejection), within-subject analyses, and exploratory analyses to generate hypotheses for further work on the neural control of human stepping.

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Publication Details

Journal
Data in Brief
Published
2025-04-25
DOI
https://doi.org/10.1016/j.dib.2025.111574
Citations
3
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
4.29

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article

Wearable MEG data recorded during human stepping

Gareth Robert Barnes, Robert A. Seymour, Stephanie Mellor, Simon F. Farmer et al.
3 citations
Data in Brief
Neural dynamics and brain function
4.29
article

Wearable MEG data recorded during human stepping

Gareth Robert Barnes, Robert A. Seymour, Stephanie Mellor, Simon F. Farmer, Timothy O. West, Jesper Lundbye‐Jensen, Tim M. Tierney, Meaghan Elizabeth Spedden, George C. O’Neill, Sven Bestmann, Nicholas Alexander, Jens Bo Nielsen
article en
3 citations

Abstract

Non-invasive spatiotemporal imaging of brain activity during large-scale, whole body movement is a significant methodological challenge for the field of movement neuroscience. Here, we present a dataset recorded using a new imaging modality - optically-pumped magnetoencephalography (OP-MEG) - to record brain activity during human stepping. Participants (n=3) performed a visually guided stepping task requiring precise foot placement while dual-axis and triaxial OP-MEG and leg muscle activity (electromyography, EMG) were recorded. The dataset also includes a structural MRI for each participant and foot kinematics. This multimodal dataset offers a resource for methodological development and testing for OPM data (e.g., movement-related interference rejection), within-subject analyses, and exploratory analyses to generate hypotheses for further work on the neural control of human stepping.

Data in BriefVol. 60
University of Copenhagen (DK), NIHR Imperial Biomedical Research Centre (GB), Neuroscience Institute (IT), National Hospital for Neurology and Neurosurgery (GB), University College London (GB), Imperial College London (GB)
UK Research and Innovation, Epilepsy Research UK, Engineering and Physical Sciences Research Council
Gender equality
Openalex Percentile: Top 6%
Neural dynamics and brain function
4.29
DOIOpen Access PDFOpenAlex
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