Simultaneous EEG–fMRI
Abstract
Acquisition of electroencephalogram (EEG) during functional magnetic resonance imaging (fMRI) provides an additional monitoring tool for the analysis of brain state fluctuations. The exploration of brain responses following inputs or in the context of state changes is crucial for a better understanding of the basic principles governing large-scale neuronal dynamics. State-of-the-art techniques allow EEG activity-from DC (direct current) up to high frequencies in the gamma range-to be acquired simultaneously with fMRI data. In the interleaved mode, spiking activities can also be assessed during concurrent fMRI. The utilization of fMRI evidence to better constrain solutions of the inverse problem of source localization of EEG activity is an exciting possibility. Nonetheless, this approach should be applied cautiously since the degree of overlap between underlying neuronal activity sources is variable and, for the most part, unknown. The ultimate goal is to make joint inferences about the activity, dynamics, and functions by exploiting complementary information from multimodal data sets.
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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 [116]
EEG-informed fMRI uses EEG to separate neural components or events in time or frequency while inheriting fMRI's intrinsic spatial resolution.
“When EEG is utilized to solve the fMRI inverse problem (i.e. EEG-informed fMRI), the solution benefits from the use of EEG to separate neural components or events in time or frequency while inheriting the intrinsic spatial resolution of fMRI (116, 140).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [116]
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References 153 · Cited by 294
- Authors
- Ritter, P., & Villringer, A.
- Affiliations
- Charité – Universitätsmedizin Berlin (DE)
- Corresponding author
- Ritter, Petra
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 30
- Issue
- 6
- Pages
- 823-838
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W2030907254
- Cited by
- 294
- References
- 153
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 10 · 2023: 16 · 2022: 15 · 2021: 23 · 2020: 7 · 2019: 12 · 2018: 10 · 2017: 12 · 2016: 15 · 2015: 16 · 2014: 19 · 2013: 19 · 2012: 16
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- simultaneous EEG-fMRI, neural dynamics, EEG source localization, inverse problems, spiking activity, multimodal neuroimaging, gamma oscillations
- MeSH terms
- Animals, Brain, Brain Mapping, Electroencephalography, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Oxygen
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