Mood Manipulation and PST, Experiment 2
…learning task with 50 healthy controls (25 after a sad mood manipulation…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "postural control" · page 2 of 10 · ranked by relevance
…learning task with 50 healthy controls (25 after a sad mood manipulation…
…paper titled "Precise cortical contributions to feedback sensorimotor control during reactive balance"
…Natural / Control / Synchronize 3. Participants walked with the experimenter for 6 minutes…
The experiments were conducted in an acoustically isolated room where only the…
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.
…control and arousal (under threat of unpredictable shock). ## Event labels 100 - 5…
BIDS-EMG dataset from Grison et al. 2025 - HDsEMG recordings of tibialis anterior during isometric contractions at 10-70% MVC, 1 subject, 128-channel grids (2x64), with concurrent intramuscular EMG ground truth labels (MUniverse benchmark)
…control and arousal (under threat of unpredictable shock). ## Event labels 100 - 5…
…Speed Control extended the paradigm by modulating driver control of the throttle…
This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.