Wearable MEG data recorded during human steppingMendeley Data
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
Affiliations
Meaghan E. Spedden
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom; Corresponding author.
George C. O’Neill
Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom
Timothy O. West
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom; Department of Biomedical Engineering, Imperial College London, London, United Kingdom
Tim M. Tierney
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom
Stephanie Mellor
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom
Nicholas A. Alexander
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom
Robert Seymour
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom
Jesper Lundbye-Jensen
Movement & Neuroscience, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
Jens Bo Nielsen
Movement & Neuroscience, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark; Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
Simon F. Farmer
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom; Department of Clinical Neurology, The National Hospital for Neurology and Neurosurgery, Queen Square London WC1N 3BG, United Kingdom
Sven Bestmann
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom; Department for Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, WC1N 3BG, United Kingdom
Gareth R. Barnes
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom
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.
