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Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
Published on: March 19, 2021
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Simultaneous EEG and functional MRI data during rest and sleep from humans
Yameng Gu1, Lucas E Sainburg1, Feng Han1
1Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Data in Brief
|April 3, 2023
Summary
This study presents a new dataset of simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) during sleep and rest. Researchers can use this multimodal neuroimaging data to explore brain activity across different states.
Area of Science:
- Neuroscience
- Cognitive Science
- Sleep Research
Background:
- Understanding spontaneous brain activity during different states is crucial for neuroscience.
- Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) offer complementary insights into brain function.
- Existing datasets may not fully capture the dynamics of brain activity during both resting state and sleep.
Purpose of the Study:
- To introduce and describe a novel, publicly available dataset combining simultaneous EEG and fMRI recordings during human sleep and resting states.
- To facilitate research on brain activity patterns across distinct physiological and cognitive states.
- To provide a valuable resource for multimodal neuroimaging analysis.
Main Methods:
- Simultaneous acquisition of EEG and fMRI data from 33 healthy participants.
- Data collected during two resting-state sessions and multiple sleep sessions per participant.
- Expert sleep staging of EEG data performed by a Registered Polysomnographic Technologist.
Main Results:
- A comprehensive dataset of simultaneous EEG and fMRI signals during human sleep and rest is now publicly available on OpenNeuro.
- The dataset includes high-quality neuroimaging data and associated sleep stage information.
- This resource enables the investigation of brain activity across different states of consciousness.
Conclusions:
- The "Simultaneous EEG and fMRI signals during sleep from humans" dataset is a significant contribution to the field of neuroscience.
- It offers a unique opportunity to study brain dynamics using multimodal neuroimaging.
- This dataset will empower researchers to advance our understanding of spontaneous brain activity during sleep and wakefulness.

