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70 results for "magnetoencephalography" · page 7 of 7 · ranked by relevance

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nm000263
Visual object ERP EEG dataset (Kaneshiro et al. 2015)

EEG

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Blair Kaneshiro et al.
on007763
BCCWJ-MEG

ANAT MEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007763-blue…

Participants

35

Citations

74

Size

166 GB

Version

v1.0.0

Updated

Aug 18, 2026

by Yushi Sugimoto et al. OpenNeuro ds007763
on002312
OcularLDT

MEG

OcularLDT is a neuroimaging dataset containing eye-tracking and MEG recordings acquired during a lexical decision task with ocular monitoring. The dataset provides synchronized measurements of oculomotor behavior and brain activity, enabling investigation of the relationship between eye movements and linguistic processing during word recognition tasks.

Participants

19

Size

35.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Teon L Brooks et al. OpenNeuro ds002312
on004473
sEEG Forced Two-Choice Task

ANAT BEH iEEG

This 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

by Alexander P. Rockhill et al. OpenNeuro ds004473
on003801
Neural Tracking to go

EEG

Imported from OpenNeuro ds003801

Participants

20

Channels

24 (10-10)

Size

1.15 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Lisa Straetmans et al. OpenNeuro ds003801
on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans

ANAT EEG FUNC

A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.

Participants

21

Size

48.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Fatemeh Ebrahiminia et al. OpenNeuro ds002814
on004022
Multimodal EEG and fNIRS Biosignal Acquisition during Motor Imagery Tasks in Patients with Orthopedic Impairment

EEG

Imported from OpenNeuro ds004022

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Seho Lee et al. OpenNeuro ds004022
nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition

EEG

THINGS-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

by Alessandro T. Gifford et al.
on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task

EEG

This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Milan Rybář et al. OpenNeuro ds004517
on007663
CrossModal Study

MEG

This dataset comprises MEG recordings from a cross-modal target-discrimination study investigating alpha oscillations and frequency-tagged neural responses during auditory and visual target preparation. Participants were cued to attend to either auditory or visual targets, with a task-irrelevant 3-second interval featuring frequency-tagged visual (36 Hz) and auditory (40 Hz) stimulation prior to target onset. The study examined target discrimination performance under conditions with and without cross-modal distractors, recorded at the University of Birmingham, United Kingdom.

Participants

27

Citations

2

Size

132 GB

Version

v1.0.0

Updated

Aug 18, 2026

by Marion Brickwedde et al. OpenNeuro ds007663