Expectation effects on repetition suppression in nociception
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
- Participants
- 36
- Channels
- 32 (10-10)
- Size
- 42.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "scientific data" · page 7 of 10 · ranked by relevance
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
…Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104…
…Scientific Data, 6, 180308. https://doi.org/10.1038/sdata.2018.308…
…Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104…
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…
This high-density EEG dataset comprises resting-state and task-based recordings from 23 healthy volunteers performing visual naming and spelling tasks. Collected between 2012-2013 at Rennes University Hospital using a 256-electrode EEG system, the dataset enables investigation of dynamic functional brain network reorganization during language production and cognitive processing. The study provides insights into spatiotemporal patterns of brain connectivity during object naming and orthographic tasks.
This dataset comprises EEG recordings from 13 healthy subjects performing a visuomotor learning task involving simulated drone piloting through waypoints of varying difficulty levels. The study investigates real-time decoding of subjective difficulty from EEG signals to enable adaptive closed-loop learning, comparing algorithmic difficulty adjustment with subject-controlled progression. Data include 1 offline session and 2 online sessions (online_session_2, online_session_3) with preprocessed EEG recordings (64 channels + 3 EOG, 25 central EEG channels retained after preprocessing) sampled at 256 Hz, along with behavioral markers of task performance including waypoint hits/misses and trajectory events.
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
This dataset comprises resting-state transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings from multiple subjects. The study focuses on identifying site- and stimulation-specific TMS-evoked EEG potentials using quantitative cosine similarity metrics to characterize the electrophysiological responses to TMS across different brain regions.
…Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104…