on003506
EEG: Reinforcement Learning in Parkinson's
EEG
This dataset comprises electroencephalography (EEG) recordings from 28 Parkinson's disease patients and 28 matched healthy controls performing a reinforcement learning task with volitional and instructed choice conditions. Parkinson's patients were tested twice within one week under both ON and OFF medication states, while controls participated in a single session. The study investigates neural correlates of reinforcement learning and decision-making in Parkinson's disease, with concurrent accelerometer recordings from the most tremor-affected hand.
- Citations
- 2
- Size
- 16.2 GB
- Updated
- Jun 22, 2026