MEGMEM
[. The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.
[ # Delineating neural contributions to EEG-based speech decoding…
This dataset comprises simultaneous magnetoencephalography and subthalamic nucleus local field potential recordings from externalized deep brain stimulation patients with Parkinson's disease, acquired under dopaminergic medication on and off conditions. Participants performed two motor tasks—static forearm extension and self-paced fist clenching—each preceded by resting periods, with some patients recorded during rest only. The dataset enables investigation of basal ganglia-cortex circuit electrophysiology and its modulation by movement and pharmacological state.
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