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87 results for "subcortical encoding" · page 8 of 9 · ranked by relevance

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on004346
FLUX: A pipeline for MEG analysis

ANAT MEG

FLUX is a comprehensive pipeline for magnetoencephalography (MEG) data analysis, providing standardized workflows for processing and analyzing MEG recordings. This dataset demonstrates the application of the FLUX pipeline to MEG neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating reproducible and transparent MEG analysis across research groups. The dataset is derived from OpenNeuro ds004346 and contains MEG recordings with anatomical data.

Participants

1

Size

15.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Oscar Ferrante et al. OpenNeuro ds004346
on004117
Sternberg Working Memory

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004117-blue…

Participants

23

Channels

69 (10-10)

HED

v8.0.0

Size

5.80 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Julie Onton (data) et al. OpenNeuro ds004117
on004951
Braille letters - EEG

EEG

This dataset contains raw EEG recordings from participants performing a tactile discrimination task involving Braille letter stimulation. Participants received Braille letters (B, C, D, L, M, N, V, Z) presented on Braille cells under their left and right index fingers while EEG was recorded. The dataset accompanies research investigating the neural transformation of sensory tactile input to perceptual representations of Braille letters in the visually deprived brain.

Participants

11

Channels

63 (10-10)

Size

22.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Marleen Haupt et al. OpenNeuro ds004951
nm000173
Motor Imagery ataset from Ofner et al 2017

EEG

…In this study, we analyzed the encoding of single upper limb movements…

Participants

15

Channels

61 (10-05)

Citations

95

HED

v8.4.0

Size

8.54 GB

Version

v1.0.1

Updated

Jul 10, 2026

by Patrick Ofner et al.
nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)

EEG

BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.

Participants

19

Channels

32 (10-10)

HED

v8.4.0

Size

1.46 GB

Version

v1.0.1

Updated

Jul 10, 2026

by Boyla Mainsah et al.
on007216
A multi-session simultaneous EEG-fMRI dataset with online experience sampling

ANAT EEG FMAP FUNC

…band acceleration factor = 3; phase encoding direction = anterior-to posterior). A total…

Participants

24

Channels

31 (10-10)

Size

115 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Aaron Kucyi et al. OpenNeuro ds007216
on005448
STReEF

iEEG

STReEF is a long-term intracranial EEG dataset from 13 patients with focal epilepsy, comprising 5 electrocorticography and 8 stereo-encephalography recordings collected at the University Medical Center Utrecht. The dataset includes structural and functional neuroimaging data organized according to BIDS specification, designed to investigate structural and effective brain connectivity in focal epilepsy surgery candidates.

Participants

13

Size

44.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Jelsma S.B. et al. OpenNeuro ds005448
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
on005048
40Hz Auditory Entrainment

EEG

This dataset comprises EEG recordings from elderly dementia patients during 40Hz auditory entrainment sessions designed to investigate the effects of gamma-band brain stimulation on neural oscillations. Participants underwent either short (6 trials) or long (10 trials) sessions of auditory stimulation while 19-channel EEG was recorded at 250Hz. The study examines whether auditory entrainment enhances default mode network connectivity through non-invasive acoustic brain stimulation.

Participants

35

Channels

19 (10-20)

Size

356 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Mojtaba Lahijanian et al. OpenNeuro ds005048
on005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects

ANAT iEEG

This dataset comprises intracranial EEG recordings from 22 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. It contains 115 high-frequency stimulation trials evoking visual hallucinations, with 21-second iEEG recordings per trial (8 seconds pre-stimulation, up to 5 seconds stimulation, 8 seconds post-stimulation). The dataset enables investigation of brain networks underlying visually evoked effects through alternating polarity biphasic pulse stimulation.

Participants

20

Size

3.98 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Andrei Barborica et al. OpenNeuro ds005169