LittlePrince_MEG_French_Read_Pallier2025
…Scans were used for coregistration and cortical surface reconstruction for source analysis…
- Participants
- 50
- Citations
- 29
- Size
- 299 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "high-density surface EMG" · page 8 of 10 · ranked by relevance
…Scans were used for coregistration and cortical surface reconstruction for source analysis…
This dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
…Effect of obesity on arithmetic processing in preteens with high and low…
This dataset comprises EEG recordings from 8 ALS patients participating in a P300-based brain-computer interface speller paradigm, comparing 9x8 dry and wet electrode configurations. Subjects completed 2 sessions each with visual stimulus presentation and target/non-target classification tasks. The data were acquired at 256 Hz using 16-channel g.USBamp systems and represent a subset of the larger BigP3BCI dataset, the most comprehensive public P300 BCI resource.
…For EMG, a bipolar electrode configuration was positioned on the left eyebrow…
…A multitask EEG dataset ## Introduction This dataset contains high-density EEG (and…
BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 subjects performing a 9x8 multi-face character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are formatted according to BIDS standards with HED event annotations for standardized analysis and machine learning applications.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004015-blue…
This dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.