Integration of EEG/MEG with MRI and fMRI
Abstract
This article discusses different approaches that have been proposed for multimodal neuroimaging, with special emphasis on the integration of electroencephalography (EEG), magnetoencephalography (MEG), and magnetic resonance imaging (MRI), and functional MRI (fMRI). Some applications will be shown to illustrate the efficacy and importance of these techniques in clinical and neuroscience studies. Finally, some remaining challenges and problems in the multimodal integration will be discussed
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The complementary strengths and limitations of EEG/MEG and fMRI have motivated researchers to integrate them towards a multimodal imaging tool more powerful than each alone.
“Their complementary strengths and limitations have motivated researchers to integrate EEG/MEG and fMRI towards a multimodal imaging tool that is more powerful than each of them alone (115–117).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [117]
fMRI-constrained EEG/MEG ESI gains spatial precision and resolution from fMRI while retaining intrinsic temporal resolution from EEG/MEG.
“When fMRI is utilized to help solve the EEG/MEG inverse problem (i.e. fMRI-constrained EEG/MEG ESI), the solution benefits from the spatial precision and resolution of fMRI while inheriting the intrinsic temporal resolution from EEG/MEG (115, 117).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [117]
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References 68 · Cited by 102
- Authors
- Liu, Z., Ding, L., & He, B.
- Affiliations
- University of Minnesota (US)
- Tokyo Institute of Technology (JP)
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 2006-07
- Volume
- 25
- Issue
- 4
- Pages
- 46-53
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2148517867
- Cited by
- 102
- References
- 68
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 2 · 2020: 3 · 2019: 8 · 2018: 6 · 2017: 6 · 2016: 6 · 2015: 6 · 2014: 9 · 2013: 4 · 2012: 3
- FWCI
- 0.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering (R01-EB-00178, R01EB000178)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- multimodal neuroimaging, EEG, MEG, magnetic resonance imaging, functional MRI, multimodal integration
- MeSH terms
- Algorithms, Brain, Brain Mapping, Diagnosis, Computer-Assisted, Electroencephalography, Humans, Magnetic Resonance Imaging, Magnetoencephalography, Systems Integration
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