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66 results for "neurocognitive dysfunction" · page 6 of 7 · ranked by relevance

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on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking

BEH EEG

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026

by Kun Chen et al. OpenNeuro ds003766
on006040
Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI

ANAT BEH DWI EEG FUNC

This dataset comprises simultaneous EEG-fMRI and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention task (gradCPT) along with resting state, checkerboard, and imagery tasks. The multimodal neuroimaging data were acquired using 64-channel EEG and 3T MRI, providing complementary measures of brain activity and structural connectivity. Both raw and preprocessed data are provided, enabling investigation of attention mechanisms and their neural correlates across multiple imaging modalities.

Participants

28

Channels

63

Size

680 GB

Version

v1.0.0

Updated

Jul 22, 2026

by Younghwa Cha et al. OpenNeuro ds006040
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

This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Giulia Lioi et al. OpenNeuro ds002336
on005507
Healthy Brain Network (HBN) EEG - Release 3

EEG

Imported from OpenNeuro ds005507

Participants

184

Channels

129 (egi-geodesic)

HED

v8.3.0

Size

139 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Seyed Yahya Shirazi et al. OpenNeuro ds005507
on004166
Effects of Forward and Backward Span Trainings on Working Memory: Evidence from a Randomized, Controlled Trial

EEG

This randomized controlled trial investigates the differential effects of forward and backward span training on working memory capacity. Event-related potentials (ERPs) were recorded during a distractor version of the change detection task at pre-, mid-, and post-test timepoints, while behavioral measures were collected from additional cognitive tasks. The study demonstrates that both training types enhance working memory maintenance compared to control conditions, with backward span training providing superior benefits for interference control based on ERP indices.

Participants

71

Size

77.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Yang Li (data and curation) et al. OpenNeuro ds004166
on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories

BEH iEEG

This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.

Participants

258

Size

477 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Haydn G. Herrema et al. OpenNeuro ds004809
on005305
EEG Resting-state Microstates Correlates of Executive Functions

EEG

This dataset comprises resting-state EEG recordings and cognitive task performance data from 165 recruited participants, of which 140 constitute the final analyzed sample (ages 18-35) collected across two sessions. The study investigates the relationship between intrinsic brain spatio-temporal dynamics, assessed via EEG microstates during rest, and executive function performance measured through a comprehensive battery of nine cognitive tasks. The dataset includes 64-channel EEG recordings acquired at 512 Hz and behavioral measures from standardized executive function assessments.

Participants

165

Channels

64 (biosemi)

Size

6.41 GB

Version

v1.0.0

Updated

Jul 22, 2026

by Chenot Quentin et al. OpenNeuro ds005305
on005511
Healthy Brain Network (HBN) EEG - Release 7

EEG

Imported from OpenNeuro ds005511

Participants

381

Channels

129 (egi-geodesic)

HED

v8.3.0

Size

245 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Seyed Yahya Shirazi et al. OpenNeuro ds005511
on004067
Moral conviction and metacognitive ability shape multiple stages of information processing

EEG

This dataset comprises human electroencephalography (EEG) recordings from 80 participants engaged in a moral decision-making task. Participants evaluated their attitudes toward sociopolitical issues, then viewed protest photographs with varying levels of indicated social support, followed by judgments of support for the protesters. The study investigates how moral conviction and metacognitive ability influence information processing across multiple cognitive stages.

Participants

80

Size

101 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Yoder et al. OpenNeuro ds004067
on007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification

EEG

This dataset presents a comprehensive methodology for sample enrichment in electroencephalography (EEG) biomarker studies designed to classify Alzheimer's disease risk. The study employs systematic approaches to optimize participant selection and EEG data quality for improved biomarker identification and risk stratification in neurodegenerative disease research. The dataset includes raw EEG recordings and associated metadata following BIDS standards. This resource supports research into early detection and risk classification of Alzheimer's disease through advanced EEG biomarker analysis.

Participants

44

Channels

58 (10-10)

Size

13.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Verónica Henao Isaza et al. OpenNeuro ds007427