Wearable MEG data recorded during human stepping

Meaghan E. Spedden*, George C. O'Neill, Timothy O. West, Tim M. Tierney, Stephanie Mellor, Nicholas A. Alexander, Robert Seymour, Jesper Lundbye-Jensen, Jens Bo Nielsen, Simon F. Farmer, Sven Bestmann, Gareth R. Barnes

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

2 Downloads (Pure)

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.

Original languageEnglish
Article number111574
JournalData in Brief
Volume60
Number of pages8
ISSN2352-3409
DOIs
Publication statusPublished - 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Keywords

  • Electromyography
  • Kinematics
  • Naturalistic neuroimaging
  • Optically-pumped magnetometers (OPM)
  • Sensorimotor control

Cite this