ds007216
A multi-session simultaneous EEG-fMRI dataset with online experience sampling
EEG MRI
- Participants
- 24
Discover datasets
100 results for "multimodal neurophysiology" · page 5 of 10 · ranked by relevance
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- nm000166
M3CV: Multi-subject, Multi-session, Multi-task EEG Database
EEG64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
- Citations
- 25
- Size
- 21.6 GB
- Updated
- May 18, 2026
- on004212
THINGS-MEG
ANAT MEG…This densely sampled fMRI dataset is part of THINGS-data, a multimodal…
- Size
- 1.03 TB
- Updated
- Jun 23, 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.
- Size
- 17.0 MB
- Updated
- Jun 22, 2026
- ds007629
ROAMM
EEG BEH…Reading Observed At Mindless Moments **ROAMM** is a large-scale multimodal dataset…
- Participants
- 1
- nm000207
Kojima et al. 2024 (Dataset B) — Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing
EEGThis dataset comprises EEG recordings from 15 healthy subjects performing an auditory brain-computer interface task based on the ASME (Auditory Stream segregation Multiclass ERP) paradigm. The study investigates two strategies for achieving four-class classification: ASME-4stream (four independent streams with single target stimuli) and ASME-2stream (two streams with dual target stimuli each). EEG data were recorded at 1000 Hz from 64 channels and analyzed using event-related potential methods and linear discriminant analysis classification, achieving accuracies of 83% and 86% respectively.
- Citations
- 4
- Size
- 13.9 GB
- Updated
- Jun 2, 2026
- on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
ANAT EEG FMAP FUNC…Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging…
- Citations
- 62
- Size
- 423 GB
- Updated
- Jun 21, 2026
- ds007358
A subset of large-scale EEG dataset (India + Tanzania)
EEG- Participants
- 2000
- on004381
Intraoperative EEG dataset during medianus-tibialis stimulation with 8 different rates
EEG…variation of stimulation rate, Clinical Neurophysiology, 2023, ISSN 1388-2457, https://doi…
- Size
- 7.73 GB
- Updated
- Jun 24, 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.
- Size
- 7.24 GB
- Updated
- Jun 19, 2026