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on006036
A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects

EEG Zarr

This dataset provides eyes-open scalp EEG recordings acquired during intermittent photic stimulation (5 to 30 Hz in 5 Hz steps) from 36 participants with Alzheimer's disease, 23 with frontotemporal dementia, and 29 healthy controls. It complements an earlier eyes-closed resting-state dataset of the same cohort, and participant numbers match between the two. Raw and preprocessed (filtered, ASR- and ICA-cleaned) recordings are provided in BIDS format alongside clinical MMSE scores and demographics.

Participants

88

Channels

19 (10-20)

Citations

21

Size

2.11 GB

Version

v1.0.0

Updated

Jun 28, 2026

by Aimilia Ntetska et al. OpenNeuro ds006036
nm000354
Arithmetic calculations measured by intracranial EEG in the human brain

iEEG

Stereo-EEG recordings from 20 patients with pharmacoresistant epilepsy performing a sequential three-operand arithmetic task during presurgical evaluation. The deposit contains preprocessed, bipolar-referenced epochs (-2 to +7 s around the first operand, 512 Hz) from 1518 bipolar channels, with MNI contact coordinates. It supports analyses of the temporal order of activations and interactions in numerical cognition. It is released as a BIDS derivative of the authors' Zenodo deposit.

Participants

20

Size

7.21 GB

Version

v1.0.0

Updated

Oct 8, 2026

by M. Kalinova et al.
on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2

ANAT EEG FUNC Zarr

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Giulia Lioi et al. OpenNeuro ds002338
on005586
Electroencephalographic responses to the number of objects in partially occluded and uncovered scenes

EEG Zarr

EEG recordings from 23 participants performing a passive viewing task with partially occluded and subsequently uncovered scenes containing game pieces on a game board. Conditions varied the number of initially visible pieces (4 or 32) and the number of pieces revealed after the occluder was removed (0 to 32). The dataset supports investigation of neural responses to object numerosity in occluded and uncovered visual scenes.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Cemre Baykan et al. OpenNeuro ds005586
on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans

ANAT EEG FUNC Zarr

A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Fatemeh Ebrahiminia et al. OpenNeuro ds002814
nm000115
Zhou2016

EEG Zarr

EEG recordings from four participants performing motor imagery of the left hand, right hand, and feet, originally reported by Zhou et al. (2016) in a study on automated trial selection for motor imagery brain-computer interfaces. Each participant completed three sessions of two runs, giving 450 trials per subject. Data were recorded from 14 channels at 250 Hz and reformatted into BIDS from a MOABB-generated Zenodo version.

Participants

4

Channels

14 (10-10)

Citations

87

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 2026

by Bangyan Zhou et al.
on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery

EEG Zarr

The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jun 20, 2026

by Yan-Han Chang et al. OpenNeuro ds005815
nm000133
Alljoined1

EEG Zarr

Alljoined1 is an EEG dataset of neural responses to natural images presented in a rapid serial visual presentation paradigm, built for EEG-to-image decoding research. Eight healthy adults viewed images from the Natural Scenes Dataset (MS-COCO) while 64-channel BioSemi EEG was recorded across one or two sessions. This BIDS version contains raw BDF recordings of 960 shared images, event tables linked to stimuli, and epoched derivatives from the original authors.

Participants

8

Citations

5

Size

8.04 GB

Version

v1.0.4

Updated

Sep 23, 2026

by Jonathan Xu et al.
on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors

EEG Zarr

EEG-BIDS dataset of cue-locked EEG recordings and event annotations from 43 neurotypical adults performing a random-dot kinematogram motion discrimination task. The task dissociates low-level priors (implicitly learned tone-motion contingencies) from high-level priors (a cover story about tinted glasses) against a neutral baseline. The data support analyses of hierarchical priors with signal detection theory, drift-diffusion modeling, and occipital oscillatory and aperiodic EEG activity, alongside psychosis-proneness and psychological flexibility questionnaires.

Participants

43

Channels

31 (10-10)

Size

8.76 GB

Version

v1.0.0

Updated

Jul 2, 2026

by Jonathan Buchholz et al. OpenNeuro ds008083
nm000403
Face-selective ventral occipito-temporal responses to fast periodic visual stimulation, SEEG (Jonas et al., 2016) (derivative)

iEEG

Stereo-EEG (intracerebral) recordings from 28 patients with refractory epilepsy during fast periodic visual stimulation, with natural object images presented at 6 Hz and faces as every fifth image (1.2 Hz) in the periodic condition, or at random positions in a non-periodic control condition. The dataset is a derivative release of the authors' Letswave files, low-pass filtered at 30 Hz and segmented into sequences, repackaged in BIDS (BrainVision) format. It supports mapping of face-selective responses in the human ventral occipito-temporal cortex.

Participants

28

Size

5.39 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Jacques Jonas et al.