Research Topic

Advances and Applications of the EEG-fMRI Technique on Epilepsies

About this Research Topic

Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a complementary technique that was idealized as a tool to precisely localize in the brain regions associated with scalp EEG findings. The classical method evaluates blood oxygenation changes in the fMRI that is temporally correlated to an identified electrocortical event, taking advantages from the high spatial resolution of the MRI and the high temporal resolution of the EEG.

The applications of EEG-fMRI include researches in basic cognitive function and its dynamics, sleep, resting-state networks, neuro-feedback and more, but is especially relevant for epilepsies. Recent studies have proved the value of the EEG-fMRI on the localization of the epileptogenic network and the application of the technique as a complementary tool on pre-surgical evaluation and planning is increasing.

The goal of this Frontiers research topic is to expand the interpretation of EEG-fMRI findings, advancing the methods from the preprocessing to the event detection and analysis. In this sense we aim improve the understanding of the relation between the epileptogenic and the resting state networks, the dynamic of the epileptogenic process across the brain and the application of the newest machine learning methodologies applied on the EEG or fMRI data and the resultant relationship between findings.

We welcome several types of submissions: Original Research Articles, Review Articles, Method Articles, Clinical Trials, Case Reports, Mini-Review Articles, Codes, General Commentaries and Specialist Hypotheses & Theories. The aim of the topic is to address key subjects about the methodology, application, and interpretation of EEG-fMRI data on epilepsies, including:

• Clinical interpretation of EEG-fMRI finding on epilepsies
• EEG dynamic connectivity
• fMRI dynamic connectivity
• Deep learning methods for detection of classical epileptiforme discharges or other electrocortical disturbances.
• Epileptic network definition using EEG-fMRI
• Pre-surgical planning using EEG-fMRI
• Resting-state network and its relations with the epileptogenic network.
• And other related subjects.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a complementary technique that was idealized as a tool to precisely localize in the brain regions associated with scalp EEG findings. The classical method evaluates blood oxygenation changes in the fMRI that is temporally correlated to an identified electrocortical event, taking advantages from the high spatial resolution of the MRI and the high temporal resolution of the EEG.

The applications of EEG-fMRI include researches in basic cognitive function and its dynamics, sleep, resting-state networks, neuro-feedback and more, but is especially relevant for epilepsies. Recent studies have proved the value of the EEG-fMRI on the localization of the epileptogenic network and the application of the technique as a complementary tool on pre-surgical evaluation and planning is increasing.

The goal of this Frontiers research topic is to expand the interpretation of EEG-fMRI findings, advancing the methods from the preprocessing to the event detection and analysis. In this sense we aim improve the understanding of the relation between the epileptogenic and the resting state networks, the dynamic of the epileptogenic process across the brain and the application of the newest machine learning methodologies applied on the EEG or fMRI data and the resultant relationship between findings.

We welcome several types of submissions: Original Research Articles, Review Articles, Method Articles, Clinical Trials, Case Reports, Mini-Review Articles, Codes, General Commentaries and Specialist Hypotheses & Theories. The aim of the topic is to address key subjects about the methodology, application, and interpretation of EEG-fMRI data on epilepsies, including:

• Clinical interpretation of EEG-fMRI finding on epilepsies
• EEG dynamic connectivity
• fMRI dynamic connectivity
• Deep learning methods for detection of classical epileptiforme discharges or other electrocortical disturbances.
• Epileptic network definition using EEG-fMRI
• Pre-surgical planning using EEG-fMRI
• Resting-state network and its relations with the epileptogenic network.
• And other related subjects.


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

25 September 2020 Abstract
23 December 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

25 September 2020 Abstract
23 December 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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