Cited by 166Advanced MRI Techniques and ApplicationsEEG and Brain-Computer InterfacesAdvanced Neuroimaging Techniques and Applications

Electrophysiological correlates of the BOLD signal for EEG-informed fMRI

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Murta, Teresa, Leite, Marco, Carmichael, David W., Figueiredo, Patrícia, Lemieux, Louis·2015·Human Brain Mapping

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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  • In simultaneous EEG/fMRI studies, frontal theta activity is often inversely correlated with activity in the default mode network (DMN).

    “In simultaneous EEG/fMRI studies, frontal theta activity is often inversely correlated with activity in DMN (Scheeringa et al. 2008;Murta et al. 2015), a brain network implicated in self-related thinking and mind wandering (Mason et al. 2007;Brewer et al. 2011).”

    From Brain–Heart Interactions Underlying Traditional Tibetan Buddhist Meditation (2019) · cites this paper as Murta et al. 2015

    In the References, Murta et al. list Scheeringa et al. (2008) under the title “Frontal theta EEG activity correlates negatively with the default mode network in resting state.” The Nonepileptic spontaneous activity section also discusses that study’s frontal-theta EEG measure. These passages support the reported inverse correlation, but do not establish that it occurs often across simultaneous EEG/fMRI studies. (LLM, conf=0.82)

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Research works printed but not linked: 1

  1. [238]238. Vaughn HG (1974): The analysis of scalp-recorded potentials. In: Thompson RF, Patterson MM, editors. Bioelectric Recording Tecniques, Part B. Electroencephalography and Human Brain Potentials. New York: Academic Press. pp 158-207.

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Authors
Murta, T., Leite, M., Carmichael, D. W., Figueiredo, P., & Lemieux, L.
Affiliations
  • University of Lisbon (PT)
  • University College London (GB)
  • National Hospital for Neurology and Neurosurgery (GB)
Corresponding author
Murta, Teresa
Venue
Human Brain Mapping
Publisher
Wiley
Published
2014-10-03
Volume
36
Issue
1
Pages
391-414
ISSN
1065-9471 (ISSN-L)
OpenAlex
W1591966483
Cited by
165
References
249
Citations by year
2026: 16 · 2025: 12 · 2024: 7 · 2023: 4 · 2022: 11 · 2021: 17 · 2020: 20 · 2019: 21 · 2018: 26 · 2017: 10 · 2016: 13 · 2015: 8
FWCI
1.61
Type
journal article
Language
en
Open access
Locations
  • Human Brain Mapping (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Department of Health's NIHR Biomedical Research Centres funding scheme
  • Portuguese Science Foundation (FCT) (SFRH/BD/80421/2011 and PTDC/SAU-ENB/112294/2009)
  • Action Medical Research (SP4646)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
BOLD signal, epilepsy, hemodynamic response, spontaneous brain activity
MeSH terms
Brain, Brain Mapping, Electroencephalography, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Oxygen, Brain Waves

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