on003825
Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
EEG
Imported from OpenNeuro ds003825
- Participants
- 50
- Channels
- 63
- Citations
- 1
- Size
- 59.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
65 results for "Hippocampus" · page 3 of 7 · ranked by relevance
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- on004942
SpatialMemory
EEGThis dataset contains EEG recordings collected during a computerized spatial span task designed to probe visuo-spatial working memory (VSWM) for sequences. The study examines theta and gamma band oscillatory dynamics during item-level sequence encoding and recall, and compares these processes between younger and older adults to investigate effects of healthy cognitive aging on VSWM.
- Participants
- 62
- Channels
- 65 (10-10)
- Citations
- 1
- Size
- 25.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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.
- Participants
- 10
- Size
- 508 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003602
Childhood Sexual Abuse and problem drinking in women: Neurobehavioral mechanisms
EEGThis dataset investigates the neurobehavioral mechanisms linking childhood sexual abuse and problem drinking in women using EEG neuroimaging data collected from monozygotic twin pairs. The study employs a behavioral task with visual stimuli to examine neural correlates associated with these clinical phenotypes. Data were collected at Washington University School of Medicine under IRB approval and include detailed task descriptions, stimulus materials, and genetic relationship information for twin participants.
- Participants
- 118
- Channels
- 35 (10-10)
- Size
- 73.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004515
EEG: Alcohol imagery reinforcement learning task with light and heavy drinker participants
EEGThis dataset contains EEG recordings from an affective state reinforcement learning task performed by 54 community participants classified as light or heavy drinkers. The task involved alcohol-related imagery to examine reward-related neural responses, specifically the reward positivity, in relation to drinking status. Data were collected between 2019 and 2021 at the Clinical Research Center of the University of New Mexico.
- Participants
- 54
- Channels
- 66 (10-10)
- Size
- 9.48 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003805
Multisensory Gamma Entrainment
EEGThis dataset comprises EEG recordings from a single healthy participant exposed to multisensory stimulation at gamma frequencies (40Hz). The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.
- Participants
- 1
- Channels
- 19 (10-20)
- Size
- 17.0 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002725
A dataset recording joint EEG-fMRI during affective music listening
ANAT EEG FUNCA joint EEG-fMRI dataset acquired from 21 healthy adult participants during affective music listening. Participants listened to music stimuli designed to elicit different emotional responses and provided self-reported affective state ratings. This multimodal neuroimaging dataset enables investigation of the neural correlates of emotional responses to music across both electrophysiological and hemodynamic measures.
- Participants
- 21
- Channels
- 31 (10-10)
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004473
sEEG Forced Two-Choice Task
ANAT BEH iEEGThis dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
- Participants
- 8
- Citations
- 5
- Size
- 14.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005530
Depotentiation of emotional reactivity using TMR during REM sleep
ANAT BEH EEG FMAP FUNCThis dataset comprises fMRI, EEG, ECG, and behavioural data from a study examining how Targeted Memory Reactivation (TMR) during REM sleep affects emotional reactivity to affective images. Participants rated arousal of affective image-sound pairs, with a subset of sounds cued during subsequent REM sleep, and their responses were assessed via heart rate deceleration, fMRI scanning, and follow-up ratings over multiple sessions. The study aims to elucidate mechanisms underlying memory-based depotentiation of emotional reactivity.
- Participants
- 18
- Channels
- 10 (10-20)
- Size
- 6.47 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026