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on002034
Real-time EEG feedback on alpha power lateralization leads to behavioral improvements in a covert attention task

EEG Zarr

EEG recordings from fourteen healthy participants performing a covert spatial attention task across three sessions. The study tested real-time feedback of alpha power lateralization (α-LI) versus sham feedback in a single-blinded crossover design. It examined whether such neurofeedback leads to behavioral improvements in attention.

Participants

14

Channels

64 (10-10)

Size

10.1 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Christoph Schneider et al. OpenNeuro ds002034
nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI

ANAT EEG FUNC Zarr

This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

by Qawi K Telesford et al.
nm000361
MNI Open iEEG Atlas: high-sampling-rate NREM sleep sEEG (normal high-frequency oscillations)

iEEG

Stereo-EEG recordings of non-REM (N2/N3) sleep at original sampling rates (512, 1024 and 2000 Hz) from 71 patients with drug-resistant focal epilepsy, released through the MNI Open iEEG Atlas. Only bipolar channels judged to show normal physiological activity in non-lesional grey matter are included (1152 channels), with Talairach coordinates and 17 brain-region labels. The data were used to derive normative values for ripples, fast ripples and high-frequency activity across brain regions.

Participants

71

Size

5.32 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Birgit Frauscher et al.
on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1

ANAT EEG FUNC Zarr

A multi-modal neuroimaging dataset (XP1) with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Giulia Lioi et al. OpenNeuro ds002336
on004368
Meta-rdk: Preprocessed EEG data

EEG Zarr fidelity issue

Preprocessed EEG recordings from 20 individuals with a schizophrenia spectrum disorder and 22 healthy control participants performing a visual motion discrimination task with confidence reporting. Motion coherence was adjusted per individual with a staircase procedure to equate performance between groups, allowing study of perceptual decision-making and metacognition in schizophrenia.

Participants

39

Channels

63 (10-10)

Size

997 MB

Version

v1.0.0

Updated

May 13, 2026

by Martin Rouy et al. OpenNeuro ds004368
on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

ANAT DWI EEG Zarr

VEPCON is a multimodal BIDS dataset with high-density EEG, structural MRI and diffusion-weighted imaging from 20 participants. Visual evoked potentials were recorded during face versus scrambled-face discrimination and coherent versus incoherent motion discrimination. Derivatives include preprocessed single-trial EEG, FreeSurfer outputs, multi-scale brain parcellations (83 to 1015 regions), structural connectomes, and EEG source-imaging inverse solutions, supporting multimodal methods development and structure-function studies.

Participants

20

Channels

128 (biosemi)

Citations

20

Size

58.2 GB

Version

v1.0.0

Updated

Jun 21, 2026

by David Pascucci et al. OpenNeuro ds003505
nm000399
Thalamic local field potentials during reading aloud of words and nonwords (Wang et al., 2022): 11 essential tremor patients, DBS surgery (derivative: preprocessed epochs)

iEEG

Preprocessed, epoched local field potentials from the ventral lateral thalamus of 11 essential tremor patients undergoing awake deep brain stimulation (DBS) surgery. Recordings were made from mapping-electrode macro rings or the implanted DBS lead while patients read aloud consonant-vowel-consonant words and nonwords. This derivative repackages the authors' Dryad release (non-re-referenced trials) into BIDS iEEG format, with trial tables and MNI electrode coordinates.

Participants

11

Size

1.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Dengyu Wang et al.
on004018
EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz

EEG Zarr

EEG recordings from participants viewing 200 object images presented in rapid serial visual presentation (RSVP) streams at 5 Hz or 20 Hz. The dataset supports investigation of the temporal representational dynamics of visual object processing under rapid presentation conditions. It accompanies a published NeuroImage study on object representations in RSVP streams.

Participants

16

Citations

97

Size

10.6 GB

Version

v1.0.0

Updated

May 13, 2026

by Grootswagers et al. OpenNeuro ds004018
nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)

EEG Zarr

The Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB) provides high-density 128-channel EEG and eye-tracking recordings from a developmental cohort spanning childhood to adulthood. Participants completed a battery of cognitive and perceptual paradigms, including resting state, surround suppression, naturalistic viewing, contrast change detection, sequence learning, and symbol search. This BIDS conversion contains EEG data from 111 participants, with source eye-tracking and behavioural data preserved in sourcedata.

Participants

111

Citations

65

Size

110 GB

Version

v1.0.0

Updated

Jun 17, 2026

by Nicolas Langer et al.
nm000295
Kodera2023: Left/right-hand motor-imagery EEG dataset

EEG

A left/right-hand motor-imagery EEG dataset from 29 healthy participants recorded at the University of West Bohemia for brain-computer interface research. Participants performed cue-based, single-class imagery of left- or right-hand movement across four runs in one session. The data are re-released in BIDS format with HED event annotations via MOABB.

Participants

29

Channels

9 (10-20)

HED

v8.4.0

Size

800 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Jakub Kodera et al.