Epidural electrocorticography data for the paper Reclaiming Motor Functions after Complete Spinal Cord Injury using Epidural Minimally Invasive Brain-Computer Interface.

 

The dataset comprises long-term epidural electrocorticography (eECoG) recordings from the human motor cortex, collected during a clinical trial that introduced the world's first minimally invasive epidural brain-computer interface (BCI) (clinicaltrials.gov, NCT05920174). 

 

This dataset includes longterm eECoG recordings that can be used to illustrate the longterm variations of an epidural BCI system. Additionally, the dataset contains somatosensory evoked potential (SEP) data that confirms beneficial changes in brain-spinal cord neural circuits under BCI training. The data has been instrumental in constructing a decoding model that accurately identifies continuous grasping control commands from the patient, contributing to the restoration of hand function.

eecog.zip - The subject's longterm epidural recordings performing cued imagined hand grasping and rest

eeg.zip - The subject's EEG recordings performing cued imagined hand grasping and rest before the surgery

freegrasping.zip - The subject's epidural recording performing freely imagined hand grasping

handtrack.zip - The subject's hand trajectories during free grasping BCI tests

sep.zip - The subject's longterm somatosensory evoked potentials measured using epidural electrodes

secog.zip - Human subdural ECoG data from Kai Miller's A library of human electrocorticographic data and analyses. The data are used to compare the spatial and spectral differences of human epidural and subdural recordings.