Cited by 171Advanced MRI Techniques and ApplicationsEEG and Brain-Computer InterfacesFunctional Brain Connectivity Studies

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Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG

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He, Bin, Liu, Zhongming·2008·IEEE Reviews in Biomedical Engineering

DOI 10.1109/rbme.2008.2008233PMC PMC2903760

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Abstract

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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liu, 2008, Multimodal Functional Neuroimaging Integrating Functional Magnetic Resonance Imaging and Electroencephalography
2004, Modeling and Imaing of Bioelectrical Activity Principles and Applications

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He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297
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Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300
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Negative covariation between task-related responses in alpha/beta-band activity and BOLD in human sensorimotor cortex: An EEG and fMRI study of motor imagery and movements
Yuan, H., Liu, T., Szarkowski, R., Rios, C., Ashe, J., & He, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.028 · Cited by 274
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Authors: He, B., & Liu, Z.
Affiliations: University of Minnesota (US)
Corresponding author: He, Bin
ORCID: He, Bin
Liu, Zhongming
Venue: IEEE Reviews in Biomedical Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2008
Volume: 1
Pages: 23-40
ISSN: 1937-3333 (ISSN-L)
1941-1189
DOI: 10.1109/rbme.2008.2008233
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: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
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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Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG

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