ReviewHuman brain mapping2015
Electrophysiological correlates of the BOLD signal for EEG-informed fMRI.
Review in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.
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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Who cites it
81 citing papers in PubMed, 156 citations in OpenAlex.
- Alleviation of ADHD symptoms by non-invasive right prefrontal stimulation is correlated with EEG activity.NeuroImage. Clinical · 2020Trial
- Frequency and laminar profile of feature-specific visual activity revealed by interleaved EEG-fMRI.eLife · 2026Article
- Multimodal EEG-MRI Neuroimaging in Schizophrenia-A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Binaural Beat Stimulation Enhances Cognitive Function in Alzheimer's Disease via Temporal Lobe Activation: An sLORETA Study.Biomedicines · 2026Article
- Mapping Executive Function Performance Based on Resting-State EEG in Healthy Individuals: A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Symmetric Fusion of fMRI and EEG for Spectrally Resolved Functional Neuroimaging.bioRxiv : the preprint server for biology · 2026Article
- Electroencephalogram Electrode and Amplifier Temperature Changes During Routine Anatomical and Functional Magnetic Resonance Imaging Sequences at 3 Tesla.Clinical EEG and neuroscience · 2025Article
- Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysis.NeuroImage · 2025Article
- Direct interactions between the human insula and hippocampus during memory encoding.Nature neuroscience · 2025Article
- Article
- Consistency of resting-state correlations between fMRI networks and EEG band power.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Trimodal brain imaging: A novel approach for simultaneous investigation of human brain function.Biological psychology · 2025Review
- Effective connectivity predicts distributed neural coding of perceptual decision confidence, uncertainty, and speed.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
- Working Memory Workload When Making Complex Decisions: A Behavioral and EEG Study.Sensors (Basel, Switzerland) · 2024Article
- Conscious but not thinking-Mind-blanks during visuomotor tracking: An fMRI study of endogenous attention lapses.Human brain mapping · 2024Article
- Measurement of the Mapping between Intracranial EEG and fMRI Recordings in the Human Brain.Bioengineering (Basel, Switzerland) · 2024Article
- Application status and prospects of multimodal EEG-fMRI in HIV-associated neurocognitive disorders.Frontiers in neurology · 2024Review
- Maternal psychological distress associates with alterations in resting-state low-frequency fluctuations and distal functional connectivity of the neonate medial prefrontal cortex.The European journal of neuroscience · 2023Article
- Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods.Bioengineering (Basel, Switzerland) · 2022Article
21 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
5 authors at 5 institutions in 3 countries.
Funding
Abstract
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are important tools in cognitive and clinical neuroscience. Combined EEG-fMRI has been shown to help to characterise brain networks involved in epileptic activity, as well as in different sensory, motor and cognitive functions. A good understanding of the electrophysiological correlates of the blood oxygen level-dependent (BOLD) signal is necessary to interpret fMRI maps, particularly when obtained in combination with EEG. We review the current understanding of electrophysiological-haemodynamic correlates, during different types of brain activity. We start by describing the basic mechanisms underlying EEG and BOLD signals and proceed by reviewing EEG-informed fMRI studies using fMRI to map specific EEG phenomena over the entire brain (EEG-fMRI mapping), or exploring a range of EEG-derived quantities to determine which best explain colocalised BOLD fluctuations (local EEG-fMRI coupling). While reviewing studies of different forms of brain activity (epileptic and nonepileptic spontaneous activity; cognitive, sensory and motor functions), a significant attention is given to epilepsy because the investigation of its haemodynamic correlates is the most common application of EEG-informed fMRI. Our review is focused on EEG-informed fMRI, an asymmetric approach of data integration. We give special attention to the invasiveness of electrophysiological measurements and the simultaneity of multimodal acquisitions because these methodological aspects determine the nature of the conclusions that can be drawn from EEG-informed fMRI studies. We emphasise the advantages of, and need for, simultaneous intracranial EEG-fMRI studies in humans, which recently became available and hold great potential to improve our understanding of the electrophysiological correlates of BOLD fluctuations.
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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.