nm000134
Alljoined-1.6M
EEG
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
65 results for "connectome" · page 4 of 7 · ranked by relevance
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- on006979
Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An ERP Study
EEGThis dataset contains EEG recordings from 53 participants performing a bilateral change-detection task designed to examine how perceptual grouping by color repetition influences distinct stages of visual working memory processing. Event-related potential markers (N2pc, CDA, N2, FN400) are used to temporally isolate encoding, maintenance, comparison, and decision-making stages. The dataset was collected at Louisiana State University and is structured according to the BIDS-EEG standard.
- Participants
- 53
- Channels
- 64 (10-10)
- Size
- 269 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007949
Auditory Streaming and Interoception
EEGThis dataset comprises electroencephalography (EEG) recordings collected to investigate the relationship between auditory streaming—the perceptual organization of sound sequences—and interoceptive awareness. The study examines how the brain processes complex auditory stimuli and integrates this information with internal bodily signals, contributing to our understanding of sensory integration and conscious perception.
- Participants
- 22
- Channels
- 1 (other)
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004993
WIRED ICM Sample Dataset - Workshop on Intracranial Recordings in Humans, Epilepsy, DBS
ANAT iEEGThis dataset comprises intracranial EEG (iEEG) recordings collected by the Hamilton Lab at the University of Texas at Austin, compiled as a teaching resource for the WIRED ICM course in Paris, 2024. It includes evoked responses to naturalistic auditory stimuli, such as movie trailers and TIMIT speech corpus sentences, alongside illustrative examples of seizure activity and vagus nerve stimulator (VNS) artifact. The dataset is intended to demonstrate typical and atypical intracranial recording phenomena in patients with epilepsy.
- Participants
- 3
- Size
- 348 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006036
A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
EEGThis dataset provides complementary EEG recordings, obtained under photic stimulation with eyes open, from a cohort of individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls previously described in a related open-eyes-closed EEG dataset. Recordings were collected at incremental photic stimulation frequencies (5-30 Hz) at the 2nd Department of Neurology, AHEPA University Hospital, Thessaloniki, Greece, using a 19-channel clinical EEG system. The dataset includes both raw and preprocessed (denoised) EEG data, intended to support research on neurodegenerative disease biomarkers and cognitive decline.
- Participants
- 88
- Channels
- 19 (10-20)
- Citations
- 37
- Size
- 2.11 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEGThis dataset comprises preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks, specifically discriminating between short and long words ('cooperate' vs 'in'). Data were acquired at 256 Hz using 64 EEG channels and processed with bandpass filtering (8-70 Hz), notch filtering (60 Hz), and artifact removal. The dataset contains 1,200 trials. Classification results (mean accuracy 73.3±8.9%) reported in the original Nguyen et al. 2017 study are provided for reference.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004563
Vicarious touch: overlapping neural patterns between seeing and feeling touch
EEGThis dataset contains whole-brain EEG recordings from participants experiencing tactile stimulation and viewing videos of touch to investigate overlapping neural representations between firsthand and vicarious touch. Using time-resolved multivariate pattern analysis, the study examines whether observed touch evokes similar neural patterns as direct tactile experience. The dataset includes 64-channel EEG data collected at 2048 Hz from 12 experimental runs comprising 1728 trials across tactile and visual conditions.
- Participants
- 40
- Channels
- 64
- Citations
- 11
- Size
- 172 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)
iEEGA multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
- Participants
- 24
- Size
- 15.0 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEGTHINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 82
- Size
- 198 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- on005586
Electroencephalographic responses to the number of objects in partially occluded and uncovered scenes
EEGThis dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.
- Participants
- 23
- Channels
- 60 (10-10)
- Size
- 28.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026