Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a complementary technique that was idealized as a tool to precisely localize regions in the brain associated with scalp EEG findings. The classical method evaluates blood oxygenation changes in fMRI temporally correlated with an electrocortical event, taking advantage from high spatial resolution of fMRI and high temporal resolution of EEG.
Applications of EEG-fMRI include research in basic cognitive function and its dynamics, decision making, sleep, resting-state networks, neurofeedback, and emotion foci localization. Recent studies have illustrated the value of EEG-fMRI for the localization of neural networks, and the application of the technique as a complementary tool for the identification of different brain regions is increasing.
In addition, while mono-module techniques do not show completely consistent brain activation regions, recent studies adopt EEG-fMRI fusion technology to reveal brain neural activity related to feedback stimuli.
The goal of this Frontiers Research Topic is to expand applications of EEG-fMRI and advance the methods from preprocessing to event detection and analysis. We aim to improve the understanding of the relation between cognitive processes and resting-state networks, dynamics of cognitive processes, and applications of machine learning methodologies on the EEG or fMRI data and the relationship between findings.
Methods and applications in cognitive neuroscience using EEG-fMRI aims to highlight the latest experimental techniques and methods used to investigate fundamental questions about the mental processes involved in cognition.
Scope:
- Clinical interpretation of EEG-fMRI findings
- EEG dynamic connectivity
- fMRI dynamic connectivity
- Deep learning methods for detection of classical cognitive neuroscience and electrocortical disturbances
- Advances and Applications of EEG-fMRI in cognitive function
- Definition of cognitive neural networks using EEG-fMRI
- Assessment of sensorimotor interactions using EEG-fMRI
- Localization of cognitive functions in the brain using EEG-fMRI
- Resting-state networks and their relations with cognitive neural networks
- And other related subjects
Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a complementary technique that was idealized as a tool to precisely localize regions in the brain associated with scalp EEG findings. The classical method evaluates blood oxygenation changes in fMRI temporally correlated with an electrocortical event, taking advantage from high spatial resolution of fMRI and high temporal resolution of EEG.
Applications of EEG-fMRI include research in basic cognitive function and its dynamics, decision making, sleep, resting-state networks, neurofeedback, and emotion foci localization. Recent studies have illustrated the value of EEG-fMRI for the localization of neural networks, and the application of the technique as a complementary tool for the identification of different brain regions is increasing.
In addition, while mono-module techniques do not show completely consistent brain activation regions, recent studies adopt EEG-fMRI fusion technology to reveal brain neural activity related to feedback stimuli.
The goal of this Frontiers Research Topic is to expand applications of EEG-fMRI and advance the methods from preprocessing to event detection and analysis. We aim to improve the understanding of the relation between cognitive processes and resting-state networks, dynamics of cognitive processes, and applications of machine learning methodologies on the EEG or fMRI data and the relationship between findings.
Methods and applications in cognitive neuroscience using EEG-fMRI aims to highlight the latest experimental techniques and methods used to investigate fundamental questions about the mental processes involved in cognition.
Scope:
- Clinical interpretation of EEG-fMRI findings
- EEG dynamic connectivity
- fMRI dynamic connectivity
- Deep learning methods for detection of classical cognitive neuroscience and electrocortical disturbances
- Advances and Applications of EEG-fMRI in cognitive function
- Definition of cognitive neural networks using EEG-fMRI
- Assessment of sensorimotor interactions using EEG-fMRI
- Localization of cognitive functions in the brain using EEG-fMRI
- Resting-state networks and their relations with cognitive neural networks
- And other related subjects
