ds005692
SpinalExpect_NonInvasive
EEG
- Participants
- 30
Discover datasets
100 results for "somatosensory cortex" · page 10 of 10 · ranked by relevance
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- ds004024
TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL)
EEG MRI- Participants
- 13
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEGMIPDB is a multimodal neuroimaging resource comprising high-density EEG and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of six cognitive and perceptual paradigms (resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search) designed to probe information processing maturation across development. This dataset enables investigation of neurodevelopmental trajectories in sensory and cognitive processing.
- Size
- 110 GB
- Updated
- Jun 17, 2026
- ds005296
Sentence semantic and syntactic violations
EEG- Participants
- 62
- ds003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEG- Participants
- 9
- nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Size
- 5.12 GB
- Updated
- Jun 17, 2026
- nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
iEEGBrain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.
- Size
- 508 GB
- Updated
- Jun 8, 2026
- ds004718
Le Petit Prince Hong Kong: Naturalistic fMRI and EEG dataset from older Cantonese speakers
MRI EEG- Participants
- 52
- ds006519
Dataset of intracranial EEG during cortical stimulations evoking negative motor responses
iEEG MRI- Participants
- 21
- on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis
NIRSThis fNIRS neuroimaging dataset captures hemodynamic responses during complex scene analysis tasks, enabling investigation of spatial attention decoding mechanisms. The dataset comprises functional near-infrared spectroscopy recordings from multiple participants performing visual attention tasks on complex scenes, providing insights into cortical activation patterns associated with attentional processes. This resource supports research in cognitive neuroscience, brain-computer interfaces, and visual perception.
- Size
- 2.19 GB
- Updated
- Jun 18, 2026