ReviewFrontiers in human neuroscience2018
EEG-Informed fMRI: A Review of Data Analysis Methods.
Review in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
68 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Research hotspots and trends in the application of electroencephalography for assessment of disorders of consciousness: a bibliometric analysis.Frontiers in neurology · 2024Pooled it
- Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage.Frontiers in neurology · 2021Pooled it
- Functional Brain Connectivity of Language Functions in Children Revealed by EEG and MEG: A Systematic Review.Frontiers in human neuroscience · 2020Pooled it
- Multimodal EEG-MRI Neuroimaging in Schizophrenia-A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Improving career guidance accuracy through EEG-based vocational interest assessment and self-reported RIASEC profiles.Frontiers in neuroscience · 2026Article
- Electroencephalographic correlates of pain catastrophizing in chronic musculoskeletal pain: a scoping review.Pain management · 2025Article
- Using ECG-derived respiration for explaining BOLD-fMRI fluctuations during rest and respiratory modulations.Scientific reports · 2025Article
- Systematic Review of Advanced Algorithms for Brain Mapping in Stereotactic Neurosurgery: Integration of fMRI and EEG Data.Brain sciences · 2025Review
- Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysis.NeuroImage · 2025Article
- Safety of Simultaneous Scalp and Intracranial EEG and fMRI: Evaluation of RF-Induced Heating.Bioengineering (Basel, Switzerland) · 2025Article
- Altered brain dynamics of facial emotion processing in schizophrenia: a combined EEG/fMRI study.Schizophrenia (Heidelberg, Germany) · 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
- Review
- Trimodal brain imaging: A novel approach for simultaneous investigation of human brain function.Biological psychology · 2025Review
- Neural networks and foundation models: two strategies for EEG-to-fMRI prediction.Frontiers in systems biology · 2025Article
- An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Multimodal neuroimaging of fatigability development.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Consistency of resting-state correlations between fMRI networks and EEG band power.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Spatial (mis)match between EEG and fMRI signal patterns revealed by spatio-spectral source-space EEG decomposition.Frontiers in neuroscience · 2025Article
- Auditory sensory processing induces cortical and thalamic event-related desynchronization in the mouse.PloS one · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic resonance imaging (fMRI) is a very promising non-invasive technique for the study of human brain function. Despite continuous improvements, it remains a challenging technique, and a standard methodology for data analysis is yet to be established. Here we review the methodologies that are currently available to address the challenges at each step of the data analysis pipeline. We start by surveying methods for pre-processing both EEG and fMRI data. On the EEG side, we focus on the correction for several MR-induced artifacts, particularly the gradient and pulse artifacts, as well as other sources of EEG artifacts. On the fMRI side, we consider image artifacts induced by the presence of EEG hardware inside the MR scanner, and the contamination of the fMRI signal by physiological noise of non-neuronal origin, including a review of several approaches to model and remove it. We then provide an overview of the approaches specifically employed for the integration of EEG and fMRI when using EEG to predict the blood oxygenation level dependent (BOLD) fMRI signal, the so-called EEG-informed fMRI integration strategy, the most commonly used strategy in EEG-fMRI research. Finally, we systematically review methods used for the extraction of EEG features reflecting neuronal phenomena of interest.
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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.