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69 results for "neurocognition" · page 6 of 7 · ranked by relevance

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on006018
Cognitive Electrophysiology in Socioeconomic Context in Adulthood: An EEG dataset

EEG

This dataset comprises electroencephalogram (EEG) recordings from 127 young adults (18-30 years) collected using standardized event-related potential tasks from the ERP CORE protocol. The dataset integrates neurophysiological measures with comprehensive socioeconomic indicators spanning childhood and adulthood, including family SES, educational attainment, income, food security, and neighborhood characteristics. Additionally, ADHD symptom screening data are included to enable investigation of neurocognitive correlates across socioeconomically diverse populations.

Participants

127

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026

by Elif Isbell et al. OpenNeuro ds006018
on001785
Evidence accumulation relates to perceptual consciousness and monitoring

EEG iEEG

This dataset contains electroencephalographic (EEG) and electrocorticographic (ECoG) recordings from twenty healthy participants and one patient with intractable epilepsy during a tactile detection task with confidence reporting. The study investigates the relationship between evidence accumulation, perceptual consciousness, and metacognitive monitoring using vibrotactile stimuli applied to the wrist with adaptive stimulus intensity. Data were acquired using 62-channel EEG (10-20 montage) at 1024 Hz for healthy subjects and 24-channel ECoG at 2048 Hz for the patient.

Participants

19

Size

27.7 GB

Version

v1.0.0

Updated

Jun 20, 2026

by Michael Pereira et al. OpenNeuro ds001785
on005429
Auditory oddball comparison (Optimum-1, Learning-oddball, and the local–global paradigm)

EEG

This dataset comprises raw EEG recordings from 15 participants performing three auditory oddball paradigms: Optimum-1 (optimized for mismatch negativity), learning-oddball (optimized for P3b), and local–global paradigm (for local and global effects). The data were collected in a single EEG session with three consecutive tasks presented as separate sessions, enabling within-individual comparison of event-related potential sensitivity across specialized oddball sequences.

Participants

15

Citations

5

Size

16.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Renate Rutiku et al. OpenNeuro ds005429
on006502
Skill learning and consolidation in healthy humans

ANAT MEG

This longitudinal neuroimaging study investigates neural mechanisms of motor skill learning, consolidation, and retention using magnetoencephalography (MEG) combined with structural MRI. Thirty-one healthy right-handed adults performed a sequential finger-tapping task during an initial training session followed by retest sessions at approximately 24 hours and 30 days post-training. The dataset includes continuous MEG recordings, high-resolution anatomical MRI, behavioral performance metrics, eye-tracking, pupillometry, and electromyography data synchronized across all sessions.

Participants

31

Size

95.7 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Bönstrup et al. OpenNeuro ds006502
nm000178
BNCI 2020-001 Reach-and-Grasp Electrode Comparison EEG dataset

EEG

This dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.

Participants

45

Size

2.08 GB

Version

v1.0.1

Updated

Jun 23, 2026

by Andreas Schwarz et al.
nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models

EEG

This dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverting—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.

Participants

10

Citations

28

Size

288 MB

Version

v1.0.1

Updated

Jun 12, 2026

by William Speier et al.
on006803
NeuroTechs Dataset for Stem Skills

EEG

The NeuroTechs Dataset for Stem Skills is an EEG neuroimaging dataset designed to investigate neural correlates of science, technology, engineering, and mathematics (STEM) skill acquisition and performance. The dataset contains electroencephalographic recordings from participants and is formatted according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and reproducibility in cognitive neuroscience research.

Participants

63

Size

1.39 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Tania Yareni Pech-Canul et al. OpenNeuro ds006803
on003574
Reward biases spontaneous neural reactivation during sleep

ANAT EEG FUNC

This dataset comprises neuroimaging and electrophysiological recordings from 18 participants who engaged in reward-based cognitive tasks during wakefulness followed by sleep monitoring in an MRI scanner. Participants played two games (FACE and MAZE) during 3T fMRI acquisition, with one game designated as rewarded and the other as non-rewarded. Subsequent sleep sessions were recorded with simultaneous 64-channel EEG and fMRI for 1-2 hours, during which participants reached either N2 or N3 sleep stages, followed by a memory test. The dataset enables investigation of how reward biases spontaneous neural reactivation during sleep through multimodal neuroimaging analysis.

Participants

18

Citations

2

Size

17.8 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Virginie Sterpenich et al. OpenNeuro ds003574
on005811
NOD-EEG

EEG

The Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging dataset enables investigation of neural mechanisms underlying object recognition in natural scenes by combining high spatial resolution (fMRI) with high temporal resolution (EEG/MEG) recordings, addressing limitations of single-modality approaches in characterizing both spatial representation patterns and temporal dynamics of visual cognitive processing.

Participants

19

Citations

5

Size

24.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

by Guohao Zhang et al. OpenNeuro ds005811
on007012
FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images

BEH EEG

FOODEEG is an open dataset comprising electroencephalographic (EEG) and behavioral responses from 117 participants to food images. The dataset includes raw and processed EEG recordings from a food categorization task, along with behavioral data from food go/no-go and paired choice tasks. Participants also provided continuous ratings on food attributes and completed questionnaires assessing dietary styles and eating motivations, with normative ratings collected from an additional 624 online participants.

Participants

117

Size

91.1 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Chae et al. OpenNeuro ds007012