on004279
Large Spanish EEG
EEG
…healthy participants using 64 EEG channels and developed a neural network capable…
- Participants
- 56
- Channels
- 64 (10-10)
- Size
- 25.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Healthy Brain Network" · page 5 of 10 · ranked by relevance
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- on005811
NOD-EEG
EEGThe Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging resource combines high spatial resolution from fMRI with high temporal resolution from EEG and MEG to investigate neural mechanisms of object recognition in natural scenes, providing a unique opportunity to examine brain activity patterns across both stimuli and subjects.
- Participants
- 19
- Channels
- 62 (10-10)
- Size
- 24.3 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on006065
TSS_iEEG
iEEG…Theta-synchronized Stimulation of Human Hippocampal Networks ## Information This folder contains intracranial…
- Participants
- 7
- Size
- 9.63 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects
ANAT iEEG…It is therefore possible to identify the brain networks underlying the clinical…
- Participants
- 20
- Size
- 3.98 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007216
A multi-session simultaneous EEG-fMRI dataset with online experience sampling
ANAT EEG FMAP FUNCThis multi-session dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults (ages 18-35) performing a sustained attention task (GradCPT) and resting state with online experience sampling. The dataset includes 31-channel cortical EEG (plus 4 carbon wire loop sensors and 1 ECG channel for a total of 36 recorded channels) with carbon wire loop sensors for artifact removal, concurrent fMRI, ECG, behavioral responses, and multi-dimensional experience sampling ratings assessing thought contents and processes. Approximately 1 hour 20 minutes of data were collected per participant per session across two sessions, enabling investigation of neural correlates of spontaneous cognitive processes including mind-wandering and attentional fluctuations. All structural MRI images were defaced for privacy. Note: One session (sub-003_ses-001) contains incomplete data collection with 3 runs instead of the standard 4 runs due to time constraints.
- Participants
- 24
- Channels
- 31 (10-10)
- Size
- 115 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEG…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 19
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.46 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on003944
EEG: First Episode Psychosis vs. Control Resting Task 1
EEG…two independently collected samples of healthy and First Episode Psychosis (FEP) individuals…
- Participants
- 82
- Channels
- 61 (10-10)
- Citations
- 37
- Size
- 6.15 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG…convolutional neural networks for EEG decoding and visualization. Human Brain Mapping, 38…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 77
- HED
- v8.4.0
- Size
- 18.5 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on004078
A synchronized multimodal neuroimaging dataset to study brain language processing
ANAT DWI FUNC MEGA synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.
- Participants
- 12
- Size
- 1.36 TB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on003421
HD-EEGtask(Dataset 2)
EEG…The study name was "Braingraph" and study agreement number was 2014-A01461…
- Participants
- 20
- Channels
- 257 (egi-geodesic)
- Size
- 76.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026