Executive Functionning Study for Assessing the Effect of Neurofeedback
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 50
- Size
- 26.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "functional brain networks" · page 8 of 10 · ranked by relevance
[, and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.
This dataset contains EEG recordings examining proactive selective attention across different competition contexts. It was collected to investigate how attentional preparation mechanisms adapt to varying levels of stimulus or response competition, contributing to research on cognitive control and attentional selection processes.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006460-blue…
ChineseEEG is a high-density EEG and simultaneous eye-tracking dataset collected from 10 participants silently reading two Chinese novels over approximately 11 hours. The dataset includes raw and multiple stages of pre-processed EEG data, along with BERT-base-chinese text embeddings of the reading materials, designed to support research on semantic alignment between NLP model representations and neural activity. It provides a resource for studying naturalistic language processing and neural decoding using Chinese linguistic stimuli.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007420-blue…
This dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006459-blue…