Data for "Dynamics of brain-muscle networks reveal effects of age and somatosensory function on gait", iScience 2024.

Network data, 3D network trajectory data, and PCA data during overground walking in healthy young, healthy older and people with Parkinson's disease. Data were recorded via EEG from left and right sensorimotor cortices and surface EMG from eight leg muscles. We computed time-resolved intermuscular, cortico-muscular, and cortico-cortical coherence across the gait cycle and used orthogonal non-negative matrix factorization to extract brain-muscle networks that span a low-dimensional subspace. By projecting the temporal activations of these networks onto a low-dimensional subspace, we could assess the inter-subject variability in brain-muscle dynamics.