34 results for "neurorehabilitation" · page 1 of 4 · ranked by relevance
…by the Human Cortical Physiology & Neurorehabilitation Section (HCPS) in the NINDS Intramural…
[ at the Federal University of Paraíba, Brazil. The dataset aims to support research into the neural correlates of learning, retrieval practice, and educational neuroscience. Recordings include pre- and post-intervention resting-state EEG with eyes-open and eyes-closed blocks.
This dataset comprises intracranial EEG recordings collected using the CorTec BrainInterchange implantable device and the BCI2000 software platform, developed as part of an ecosystem of technology and protocols for adaptive neuromodulation research in humans. The data support research into closed-loop neuromodulation approaches and adaptive brain-computer interface systems. Recordings were obtained under IACUC-approved protocols in collaboration with Mayo Clinic and academic partners.
Imported from OpenNeuro ds003194
A multi-session EEG dataset acquired from 15 healthy participants performing resting state and graded cognitive tasks (MATB-II at three difficulty levels). 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.
This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
This dataset comprises high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings collected from older adults walking over uneven terrain at varying speeds. Each participant completed multiple walking trials under different conditions as well as a seated rest trial, with digitized electrode locations provided. The dataset supports research into the neural and biomechanical mechanisms underlying balance and gait control during complex locomotion in aging populations.
Imported from OpenNeuro ds003195