Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
Open accessAbstract
Noninvasive functional neuroimaging, as an important tool for basic neuroscience research and clinical diagnosis, continues to face the need of improving the spatial and temporal resolution. While existing neuroimaging modalities might approach their limits in imaging capability mostly due to fundamental as well as technical reasons, it becomes increasingly attractive to integrate multiple complementary modalities in an attempt to significantly enhance the spatiotemporal resolution that cannot be achieved by any modality individually. Electrophysiological and hemodynamic/metabolic signals reflect distinct but closely coupled aspects of the underlying neural activity. Combining fMRI and EEG/MEG data allows us to study brain function from different perspectives. In this review, we start with an overview of the physiological origins of EEG/MEG and fMRI, as well as their fundamental biophysics and imaging principles, we proceed with a review of the major advances in the understanding and modeling of neurovascular coupling and in the methodologies for the fMRI-EEG/MEG simultaneous recording. Finally, we summarize important remaining issues and perspectives concerning multimodal functional neuroimaging, including brain connectivity imaging.
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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 [115]
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 [115]
Modeling how fMRI relates to EEG/MEG is possible when stimuli are relatively simple and repeat as discrete events or alternating blocks.
“It is feasible to model the relationship between fMRI and EEG/MEG given relatively simple stimuli that repeat as discrete events and/or in alternating blocks (115).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [115]
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RETRACTED ARTICLE: Analysis of brain signal processing and real-time EEG signal enhancement
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- Authors
- He, B., & Liu, Z.
- Affiliations
- University of Minnesota (US)
- Corresponding author
- He, Bin
- Venue
- IEEE Reviews in Biomedical Engineering
- Published
- 2008
- Volume
- 1
- Pages
- 23-40
- ISSN
- 1937-3333 (ISSN-L)
- 1941-1189
- PMC
- PMC2903760
- OpenAlex
- W2128390591
- Cited by
- 171
- References
- 217
- Citations by year
- 2026: 9 · 2025: 19 · 2024: 15 · 2023: 7 · 2022: 12 · 2021: 5 · 2020: 6 · 2019: 10 · 2018: 15 · 2017: 4 · 2016: 7 · 2015: 13 · 2014: 19 · 2013: 6 · 2012: 5
- FWCI
- 0.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- IEEE Reviews in Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Biomedical Imaging and Bioengineering (R01-EB-00178, R01EB000178, R01EB007920)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- simultaneous recording, spatiotemporal resolution, neurovascular coupling, hemodynamic response, electrophysiological signals
- MeSH terms
- Animals, Brain, Brain Mapping, Electroencephalography, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging
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