Disentangling the percepts of illusory movement and sensory stimulation during tendon vibration in the EEG
Imported from OpenNeuro ds003343
- Participants
- 20
- Channels
- 16 (10-10)
- Citations
- 1
- Size
- 663 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
89 results for "sensorimotor synchronization" · page 2 of 9 · ranked by relevance
Imported from OpenNeuro ds003343
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
This magnetoencephalography (MEG) dataset comprises human recordings during a sequential conflict task, designed to investigate neural mechanisms of conflict detection and decision-making. The dataset includes recordings from both healthy controls and patients with movement disorders, enabling investigation of cortico-subthalamic interactions and oscillatory dynamics in the beta frequency band during cognitive conflict processing.
This dataset comprises raw magnetoencephalography (MEG) recordings, T1-weighted anatomical MRI scans, and behavioural logfiles collected during an audiovisual speech memory paradigm. Participants performed encoding, distractor, and retrieval tasks designed to probe theta oscillatory dynamics underlying audiovisual integration and memory replay of speech content. The data support analyses of neocortical and hippocampal theta oscillations reported in an associated Journal of Neuroscience publication.
…Additional synchronization pulses are present at ~20-second intervals during sessions.
This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
This dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.