SynthesisFrontiers in neurology2021
Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage.
Synthesis in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 73 citations in OpenAlex.
- Heartbeat-evoked neural response abnormalities in generalized anxiety disorder during peripheral adrenergic stimulation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Trial
- 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
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- A comprehensive EEG dataset and performance assessment for Autism Spectrum Disorder.Scientific reports · 2025Article
- Vertical Topography in EEG Microstates: Physiology or Artifact Manifestation?Human brain mapping · 2025Article
- Feasibility of Observing Glymphatic System Activity During Sleep Using Diffusion Tensor Imaging Analysis Along the Perivascular Space (DTI-ALPS) Index.Diagnostics (Basel, Switzerland) · 2025Article
- The Next Frontier in Brain Monitoring: A Comprehensive Look at In-Ear EEG Electrodes and Their Applications.Sensors (Basel, Switzerland) · 2025Review
- Safety of Simultaneous Scalp and Intracranial EEG and fMRI: Evaluation of RF-Induced Heating.Bioengineering (Basel, Switzerland) · 2025Article
- Revolutionizing Sleep Science: A Narrative Review of the Historical Origins and Current Applications of Sleep Neuroimaging.Nature and science of sleep · 2025Review
- Trimodal brain imaging: A novel approach for simultaneous investigation of human brain function.Biological psychology · 2025Review
- Integration of Neuroimaging and Molecular Biomarkers in the Diagnosis of Alzheimer's Disease and Frontotemporal Dementia: The Promise of fMRI.Current Alzheimer research · 2025Review
- Evaluating cardiac noise correction approaches for non-invasive electrophysiology of the human spinal cord.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Conscious but not thinking-Mind-blanks during visuomotor tracking: An fMRI study of endogenous attention lapses.Human brain mapping · 2024Article
- Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition.IEEE transactions on bio-medical engineering · 2024Article
- Investigating acoustic startle habituation and prepulse inhibition with silent functional MRI and electromyography in young, healthy adults.Frontiers in human neuroscience · 2024Article
- A Review of EEG-based Localization of Epileptic Seizure Foci: Common Points with Multimodal Fusion of Brain Data.Journal of medical signals and sensors · 2024Review
- Simultaneous and independent electroencephalography and magnetic resonance imaging: A multimodal neuroimaging dataset.Data in brief · 2023Article
- Enhancing precision in human neuroscience.eLife · 2023Review
- EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI.NeuroImage · 2023Article
- Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice.Nature communications · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a technique that combines temporal (largely from EEG) and spatial (largely from fMRI) indicators of brain dynamics. It is useful for understanding neuronal activity during many different event types, including spontaneous epileptic discharges, the activity of sleep stages, and activity evoked by external stimuli and decision-making tasks. However, EEG recorded during fMRI is subject to imaging, pulse, environment and motion artifact, causing noise many times greater than the neuronal signals of interest. Therefore, artifact removal methods are essential to ensure that artifacts are accurately removed, and EEG of interest is retained. This paper presents a systematic review of methods for artifact reduction in simultaneous EEG-fMRI from literature published since 1998, and an additional systematic review of EEG-fMRI studies published since 2016. The aim of the first review is to distill the literature into clear guidelines for use of simultaneous EEG-fMRI artifact reduction methods, and the aim of the second review is to determine the prevalence of artifact reduction method use in contemporary studies. We find that there are many published artifact reduction techniques available, including hardware, model based, and data-driven methods, but there are few studies published that adequately compare these methods. In contrast, recent EEG-fMRI studies show overwhelming use of just one or two artifact reduction methods based on literature published 15-20 years ago, with newer methods rarely gaining use outside the group that developed them. Surprisingly, almost 15% of EEG-fMRI studies published since 2016 fail to adequately describe the methods of artifact reduction utilized. We recommend minimum standards for reporting artifact reduction techniques in simultaneous EEG-fMRI studies and suggest that more needs to be done to make new artifact reduction techniques more accessible for the researchers and clinicians using simultaneous EEG-fMRI.
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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.