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100 results for "neuroimaging" · page 10 of 10 · ranked by relevance

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on004541
Multimodal EEG-fNIRS data from patients undergoing general anesthesia

EEG NIRS

This dataset contains multimodal EEG-fNIRS recordings from patients undergoing general anesthesia. It was collected to study neurophysiological changes associated with anesthetic states, combining electrophysiological and hemodynamic measures. The data are provided in BIDS format to facilitate reuse and reproducible analysis.

Participants

8

Channels

58 (10-10)

Size

2.90 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Catalina Saini Ferrón et al. OpenNeuro ds004541
on002550
Differential brain mechanisms of selection and maintenance of information during working memory (MEG data)

ANAT MEG

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Romain Quentin et al. OpenNeuro ds002550
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

Citations

8

Size

176 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Thompson WH* et al. OpenNeuro ds002799
on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery

EEG

The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Yan-Han Chang et al. OpenNeuro ds005815
on006525
Resting EEG

ANAT EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006525-blue…

Participants

34

Channels

128 (other)

Size

3.00 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Computational Neuroimaging and Neuroengineering Lab ar the University of Oklahoma OpenNeuro ds006525
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.
on006126
TDCS Modulation of Visual Cortex in Motor Imagery

EEG

Imported from OpenNeuro ds006126

Participants

6

Channels

3 (other)

Size

1.08 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Anthony Mensah et al. OpenNeuro ds006126
on004841
TX14

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004841-blue…

Participants

20

Channels

64 (10-10)

HED

v8.1.0

Size

7.31 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Gabriella Larkin et al. OpenNeuro ds004841
nm000252
Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)

EEG

This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks involving two conditions: cooperate and independent word imagery. The study employed a motor imagery paradigm with auditory and visual cues, yielding 3,600 preprocessed trials (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.

Participants

6

Channels

60 (10-10)

Citations

97

HED

v8.4.0

Size

1.27 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Chuong H. Nguyen et al.
on004504
A dataset of EEG recordings from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects

EEG

This dataset comprises resting-state, eyes-closed scalp EEG recordings from 88 subjects: 36 with Alzheimer's disease, 23 with Frontotemporal Dementia, and 29 healthy controls. Recordings were acquired using a Nihon Kohden EEG 2100 device with 19 electrodes at 500 Hz sampling rate, totaling approximately 1164 minutes of data. The dataset includes both raw and preprocessed versions with artifact correction, supporting machine learning and clinical research in dementia diagnosis and neurophysiological characterization.

Participants

88

Channels

19 (10-20)

Citations

232

Size

5.38 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Andreas Miltiadous et al. OpenNeuro ds004504