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

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on003638
EEG: Electrophysiological biomarkers of behavioral dimensions from cross-species paradigms

EEG

This dataset comprises electrophysiological recordings from 57 human subjects performing three different behavioral tasks designed to identify cross-species electrophysiological biomarkers of behavioral dimensions. The study integrates human EEG data with complementary mouse neurophysiology to establish translational biomarkers of behavior, with data collection occurring between 2014-2016 and analysis between 2015-2021.

Participants

57

Channels

64 (10-10)

Size

16.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by James F Cavanagh et al. OpenNeuro ds003638
on004752
Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task

EEG iEEG

This dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.

Participants

15

Channels

19 (10-20)

Size

11.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Vasileios Dimakopoulos et al. OpenNeuro ds004752
on002799
Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI

ANAT FMAP FUNC iEEG

This dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.

Participants

26

Size

175 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Thompson WH* et al. OpenNeuro ds002799
on004852
InsurgentCivilian

EEG

Imported from OpenNeuro ds004852

Participants

1

Channels

64 (10-10)

HED

v8.1.0

Size

78.9 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Tony Johnson et al. OpenNeuro ds004852
on004855
FT

EEG

Imported from OpenNeuro ds004855

Participants

1

Channels

64 (10-10)

Citations

2

HED

v8.1.0

Size

78.9 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Tony Johnson et al. OpenNeuro ds004855
nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

EEG

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 64-channel EEG recordings plus 1 EOG and 1 stimulus channel at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.

Participants

11

Channels

62 (10-10)

Citations

9

HED

v8.4.0

Size

2.06 GB

Version

vv1.0.1

Updated

Jul 10, 2026

by Eva Guttmann-Flury et al.
nm000214
c-VEP dataset from Thielen et al. (2021)

EEG

A code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements while maintaining classification performance, ultimately achieving zero-training BCI operation through neural encoding models and reconvolution techniques.

Participants

30

Citations

64

HED

v8.4.0

Size

1.26 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by J Thielen et al.
on004368
Meta-rdk: Preprocessed EEG data

EEG

Imported from OpenNeuro ds004368

Participants

39

Channels

63 (10-10)

Size

969 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Martin Rouy et al. OpenNeuro ds004368
on004324
ToonFaces

EEG

This dataset comprises electroencephalographic (EEG) recordings collected during the presentation of stylized facial stimuli to investigate emotion detection and event-related potentials (ERPs). The study demonstrates that artificially enhanced faces with exaggerated visual features elicit enhanced N170 components compared to standard facial images, suggesting optimized stimulus design can improve neural correlates of emotion recognition. These findings have implications for affective brain-computer interface (BCI) development and emotion detection accuracy from EEG signals. Participant information has been anonymized.

Participants

26

Channels

28 (10-10)

Size

2.46 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Luis Alberto Barradas Chacón et al. OpenNeuro ds004324
nm000223
Electric light control experiment (15 subjects, 4 classes, 31 EEG ch)

EEG

A P300-based brain-computer interface dataset for home appliance control, comprising EEG recordings from 15 healthy subjects performing a visual oddball task with 31-channel recordings at 500 Hz sampling rate. The dataset includes 50 training and 30 testing trials per subject, with target and non-target stimulus classifications for electric light control applications.

Participants

15

Citations

8

HED

v8.4.0

Size

628 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Jongmin Lee et al.