ReviewFrontiers in systems neuroscience2022
Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function.
Review in Frontiers in systems neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Recent advances in MR neuroimaging: toward quantitative and AI-driven brain and spinal cord imaging.Japanese journal of radiology · 2026Review
- Electroencephalography-functional magnetic resonance imaging using a familial temporal lobe epilepsy model in cats: an exploratory methodological pilot study.Journal of veterinary internal medicine · 2026Article
- Multimodal EEG-MRI Neuroimaging in Schizophrenia-A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- A Low-Cost Modular Multi-Region Electrode for Distributed Network Recording and Brain State Decoding.Brain sciences · 2026Article
- Review
- Active Rehabilitation Technologies for Post-Stroke Patients.Biosensors · 2025Review
- Advancements and Applications of EEG in Gustatory Perception.Brain sciences · 2025Review
- Spatial development of brain networks during the first six postnatal months.Communications biology · 2025Article
- Structural determinants of signal speed: Estimated axonal latency and its multimodal validation during face processing in autism.bioRxiv : the preprint server for biology · 2025Article
- Review
- Neural Correlates of Alexithymia Based on Electroencephalogram (EEG)-A Mechanistic Review.Journal of clinical medicine · 2025Review
- Impact of visual distractors in virtual reality environments on sustained attention behavioral performance and EEG characteristics.Frontiers in human neuroscience · 2025Article
- Spatio-temporal independent component classification for localization of seizure onset zone.Frontiers in neurology · 2025Article
- Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data.Frontiers in systems neuroscience · 2025Article
- Advances in magnetic field approaches for non-invasive targeting neuromodulation.Frontiers in human neuroscience · 2025Review
- EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.Frontiers in human neuroscience · 2025Article
- Whole-Head Noninvasive Brain Signal Measurement System with High Temporal and Spatial Resolution Using Static Magnetic Field Bias to the Brain.Bioengineering (Basel, Switzerland) · 2024Article
- EEG Techniques with Brain Activity Localization, Specifically LORETA, and Its Applicability in Monitoring Schizophrenia.Journal of clinical medicine · 2024Review
- The Use of Transcranial Magnetic Stimulation in Attention Optimization Research: A Review from Basic Theory to Findings in Attention-Deficit/Hyperactivity Disorder and Depression.Life (Basel, Switzerland) · 2024Review
- Exploring Brain Dynamics via EEG and Steady-State Activation Map Networks in Music Composition.Brain sciences · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) have long been used as tools to examine brain activity. Since both methods are very sensitive to changes of synaptic activity, simultaneous recording of EEG and fMRI can provide both high temporal and spatial resolution. Therefore, the two modalities are now integrated into a hybrid tool, EEG-fMRI, which encapsulates the useful properties of the two. Among other benefits, EEG-fMRI can contribute to a better understanding of brain connectivity and networks. This review lays its focus on the methodologies applied in performing EEG-fMRI studies, namely techniques used for the recording of EEG inside the scanner, artifact removal, and statistical analysis of the fMRI signal. We will investigate simultaneous resting-state and task-based EEG-fMRI studies and discuss their clinical and technological perspectives. Moreover, it is established that the brain regions affected by a task-based neural activity might not be limited to the regions in which they have been initiated. Advanced methods can help reveal the regions responsible for or affected by a developed neural network. Therefore, we have also looked into studies related to characterization of structure and dynamics of brain networks. The reviewed literature suggests that EEG-fMRI can provide valuable complementary information about brain neural networks and functions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.