Freezing of gait dataset from neurophysiological activity of the motor cortex and subthalamic nucleus

This dataset contains neurophysiological and motion capture data from 12 patients with Parkinson's disease (PD) and moderate to severe Freezing of Gait (FOG), recruited between October 2019 and April 2021. The data was collected 3-5 days after Deep Brain Stimulation (DBS) surgery, during which patients were in an OFF-medication and OFF-stimulation state.The dataset comprises:Intracranial Electrophysiology: Simultaneously recorded electrocorticography (ECoG) signals from the primary motor cortex (M1) and local field potentials (LFPs) from the subthalamic nucleus (STN). Signals were recorded at 2000 Hz and later preprocessed and downsampled.3D Motion Capture: Kinematic data from 22 sensors placed on the lower limbs, captured by an optoelectronic system at 100 or 200 Hz during a timed up-and-go task.Video Recordings: Synchronized video of the motor experiments.Data was collected while patients performed walking trials. Freezing events were objectively quantified using a Freezing Index (FI) calculated from the motion capture data and verified by independent raters. The electrophysiological signals were preprocessed, including filtering, re-referencing, and decomposition into multiple frequency bands (theta, alpha, low-beta, high-beta, and gamma) using a Stationary Wavelet Transform (SWT).