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81 results for "cortical excitability" · page 8 of 9 · ranked by relevance

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on007353
HAD-MEEG

ANAT EEG MEG

HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling integrated spatiotemporal analysis of brain responses to visual action stimuli.

Participants

32

Channels

62 (10-10)

Size

221 GB

Version

v1.0.0

Updated

Jul 22, 2026

by Guohao Zhang et al. OpenNeuro ds007353
on007175
FFR-active-listening

EEG

Imported from OpenNeuro ds007175

Participants

1

Channels

64 (10-10)

Size

226 GB

Version

v1.0.0

Updated

Jul 10, 2026

by [Unspecified] OpenNeuro ds007175
on004745
8-Channel SSVEP EEG Dataset with Artifact Trials

EEG

Imported from OpenNeuro ds004745

Participants

6

Channels

8 (other)

Citations

26

Size

242 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Velu Prabhakar Kumaravel et al. OpenNeuro ds004745
nm000301
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study D)

EEG

BigP3BCI Study D is a P300-based brain-computer interface dataset comprising EEG recordings from 17 healthy subjects performing a 6x6 character grid speller task using dynamic row-column stimulus presentation. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is designed for machine learning model development and benchmarking in brain-computer interface research.

Participants

17

Channels

32 (10-10)

HED

v8.4.0

Size

731 MB

Version

v1.0.1

Updated

Jul 10, 2026

by Boyla Mainsah et al.
on007509
1hrPVTdataset_allSubjects

EEG

This dataset comprises scalp electroencephalography (EEG) recordings from healthy adult participants during a one-hour psychomotor vigilance task under three stimulation conditions: 40 Hz audiovisual flicker, no flicker control, and randomized flicker sham stimulation. The study investigates the effects of flickering audiovisual stimulation on sustained attention and vigilance performance.

Participants

69

Channels

32 (10-10)

Size

14.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Matthew Attokaren et al. OpenNeuro ds007509
on004561
Illusion of Agency over Electrically-Actuated Movements

EEG

This dataset contains electrophysiological recordings investigating the illusion of agency over electrically-actuated movements. Participants experienced electrical stimulation of their limbs while performing motor tasks, with concurrent EEG recordings to examine neural correlates of sense of agency and motor control. The study explores how the brain attributes voluntary control to externally-generated movements.

Participants

23

Channels

62 (10-10)

Size

98.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

by John Veillette et al. OpenNeuro ds004561
nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)

EEG

BigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.

Participants

20

Channels

16 (10-10)

HED

v8.4.0

Size

426 MB

Version

v1.0.1

Updated

Jul 10, 2026

by Boyla Mainsah et al.
on006374
Expectation effects on repetition suppression in nociception

BEH EEG

This dataset investigates how expectation modulates repetition suppression in nociceptive processing. It contains raw neuroimaging data examining the neural mechanisms underlying pain perception and the influence of cognitive expectations on pain-related neural responses.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Lisa-Marie Pohle et al. OpenNeuro ds006374
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

Size

14.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Alexander P. Rockhill et al. OpenNeuro ds004473
on005512
Healthy Brain Network (HBN) EEG - Release 8

EEG

Imported from OpenNeuro ds005512

Participants

257

Channels

129 (egi-geodesic)

HED

v8.3.0

Size

157 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Seyed Yahya Shirazi et al. OpenNeuro ds005512