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100 results for "neural dynamics" · page 5 of 10 · ranked by relevance

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on003708
Basis profile curve identification to understand electrical stimulation effects in human brain networks

iEEG

This dataset comprises intracranial EEG recordings from a single patient undergoing single-pulse electrical stimulation, collected at Mayo Clinic as part of an NIH-funded initiative to develop a comprehensive database of stimulation responses. The study aims to advance understanding of human brain connectivity and network responses to electrical stimulation across the lifespan through systematic analysis of evoked potentials and network effects.

Participants

1

Citations

3

Size

620 MB

Version

v1.0.0

Updated

Jul 10, 2026

by Dora Hermes et al. OpenNeuro ds003708
on004551
iEEG on children during slow wave sleep

iEEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004551-blue…

Participants

114

Size

68.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Kazuki Sakakura et al. OpenNeuro ds004551
on006720
Alpha power indexes working memory load for durations

ANAT MEG

…a dedicated interest in the neural dynamics of working memory, but also…

Participants

24

Citations

1

Size

136 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Sophie K. Herbst [1] et al. OpenNeuro ds006720
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
on003703
Frequency Tagging of Syntactic Structure or Lexical Properties

MEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…

Participants

34

Citations

1

Size

195 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Evgenii Kalenkovich et al. OpenNeuro ds003703
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)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026

by Kun Chen et al. OpenNeuro ds003766
on004278
Sustained Neural Representations of Personally Familiar People and Places During Cued Recall

MEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004278-blue…

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Alexis Kidder(*) et al. OpenNeuro ds004278
on004561
Illusion of Agency over Electrically-Actuated Movements

EEG

This dataset contains electroencephalography (EEG) recordings from a study investigating the illusion of agency over electrically-actuated bodily movements. The research examines how individuals perceive control over movements induced via electrical muscle stimulation, contributing to the understanding of the sense of agency in human-computer interaction and body perception. Data were collected from human participants and organized according to the Brain Imaging Data Structure (BIDS) standard.

Participants

23

Channels

62 (10-10)

Size

98.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

by John Veillette et al. OpenNeuro ds004561
on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors

EEG

This dataset contains cue-locked EEG recordings and behavioral event annotations from 43 healthy adults performing a random-dot kinematogram (RDK) task designed to dissociate low-level and high-level hierarchical priors during perceptual decision-making. The study examines how such priors bias behavior via signal detection theory and generalized drift-diffusion modeling, and how they modulate occipital oscillatory and aperiodic EEG activity. Participants also completed questionnaires assessing psychosis proneness and psychological flexibility traits.

Participants

43

Channels

31 (10-10)

Size

8.76 GB

Version

v1.0.0

Updated

Aug 18, 2026

by Jonathan Buchholz et al. OpenNeuro ds008083
on003506
EEG: Reinforcement Learning in Parkinson's

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003506-blue…

Participants

56

Channels

67 (10-10)

Citations

2

Size

16.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

by James F Cavanagh et al. OpenNeuro ds003506