…Open-loop EEG dataset of lower-limb (ankle dorsiflexion/plantarflexion) kinesthetic motor…
This dataset contains simultaneous magnetoencephalography (MEG) and subthalamic nucleus local field potential (STN LFP) recordings from externalized deep brain stimulation (DBS) patients with Parkinson's disease. Recordings were acquired with and without dopaminergic medication during rest, static forearm extension (hold), and self-paced fist-clenching (move). The project aimed to characterize basal ganglia-cortex loop neurophysiology and how it is modulated by movement and medication.
IACKD is an EEG and hand kinematics dataset designed to study conflict between motor intention and executed action. It pairs EEG recordings with hand movement kinematics, and is organized in BIDS format with BrainVision EEG files. Task presentation was implemented in PsychoPy.
…2-class hand grasping, 40 trials/session, up to 3 sessions per…
A BIDS-formatted release of the Hyser high-density surface electromyogram (HD-sEMG) dataset. It contains 256-channel forearm EMG with simultaneous five-finger force recordings from 20 right-handed participants across two sessions. Tasks include 34 hand gestures, maximum voluntary contraction, and single-finger, multi-finger and random force-tracking tasks, supporting gesture recognition and force decoding research.
…2-class hand grasping, 40 trials/session, up to 3 sessions per…
A multi-distance, high-density fNIRS dataset recorded over the motor cortex with a lightweight system that includes an accelerometer. Participants completed a resting-state recording, a bilateral ball-squeezing task, and a motion creation task with instructed head and facial movements to deliberately induce motion artifacts. The dataset supports work on short-separation regression, motion artifact correction, and diffuse optical tomography image reconstruction.
…2-class hand MI (left/right grasping) for ICH rehabilitation. 17 healthy…
…2-class hand MI (left/right grasping) for ICH rehabilitation. 17 healthy…
A BIDS-formatted high-density surface EMG (HDsEMG) dataset from 16 young volunteers performing submaximal (10-80% MVC) isometric ankle dorsiflexions (tibialis anterior, n=8) or knee extensions (vastus lateralis, n=8). Signals were recorded with four 64-electrode arrays (256 channels in total) together with force signals, supporting the decomposition of extensive motor unit samples and the study of rate coding. It is a BIDS conversion of the data from Avrillon et al. 2024, produced with the MUniverse software.