Spedden Meaghan E, O'Neill George C, West Timothy O, Tierney Tim M, Mellor Stephanie, Alexander Nicholas A, Seymour Robert, Lundbye-Jensen Jesper, Nielsen Jens Bo, Farmer Simon F, Bestmann Sven, Barnes Gareth R
Department of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, United Kingdom.
Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Data Brief. 2025 Apr 25;60:111574. doi: 10.1016/j.dib.2025.111574. eCollection 2025 Jun.
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.
在大规模全身运动过程中对大脑活动进行无创性时空成像，是运动神经科学领域一项重大的方法学挑战。在此，我们展示了一个使用新型成像模态——光泵磁脑电图（OP-MEG）记录的数据，该数据记录了人类行走过程中的大脑活动。参与者（n = 3）执行一项视觉引导的行走任务，要求精确放置脚步，同时记录双轴和三轴OP-MEG以及腿部肌肉活动（肌电图，EMG）。该数据集还包括每位参与者的结构MRI和足部运动学数据。这个多模态数据集为OPM数据的方法学开发和测试（例如，与运动相关的干扰抑制）、受试者内分析以及探索性分析提供了资源，以生成关于人类行走神经控制的进一步研究假设。
