Difference between EEG and fMRI Psychology

The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T

Jonathan Wirsich et al. Neuroimage. 2021.

Free article

Abstract

Both electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are non-invasive methods that show complementary aspects of human brain activity. Despite measuring different proxies of brain activity, both the measured blood-oxygenation (fMRI) and neurophysiological recordings (EEG) are indirectly coupled. The electrophysiological and BOLD signal can map the underlying functional connectivity structure at the whole brain scale at different timescales. Previous work demonstrated a moderate but significant correlation between resting-state functional connectivity of both modalities, however there is a wide range of technical setups to measure simultaneous EEG-fMRI and the reliability of those measures between different setups remains unknown. This is true notably with respect to different magnetic field strengths (low and high field) and different spatial sampling of EEG (medium to high-density electrode coverage). Here, we investigated the reproducibility of the bimodal EEG-fMRI functional connectome in the most comprehensive resting-state simultaneous EEG-fMRI dataset compiled to date including a total of 72 subjects from four different imaging centers. Data was acquired from 1.5T, 3T and 7T scanners with simultaneously recorded EEG using 64 or 256 electrodes. We demonstrate that the whole-brain monomodal connectivity reproducibly correlates across different datasets and that a moderate crossmodal correlation between EEG and fMRI connectivity of r ≈ 0.3 can be reproducibly extracted in low- and high-field scanners. The crossmodal correlation was strongest in the EEG-β frequency band but exists across all frequency bands. Both homotopic and within intrinsic connectivity network (ICN) connections contributed the most to the crossmodal relationship. This study confirms, using a considerably diverse range of recording setups, that simultaneous EEG-fMRI offers a consistent estimate of multimodal functional connectomes in healthy subjects that are dominantly linked through a functional core of ICNs across spanning across the different timescales measured by EEG and fMRI. This opens new avenues for estimating the dynamics of brain function and provides a better understanding of interactions between EEG and fMRI measures. This observed level of reproducibility also defines a baseline for the study of alterations of this coupling in pathological conditions and their role as potential clinical markers.

Copyright © 2021. Published by Elsevier Inc.

Similar articles

  • Concurrent EEG- and fMRI-derived functional connectomes exhibit linked dynamics.

    Wirsich J, Giraud AL, Sadaghiani S. Wirsich J, et al. Neuroimage. 2020 Oct 1;219:116998. doi: 10.1016/j.neuroimage.2020.116998. Epub 2020 May 29. Neuroimage. 2020. PMID: 32480035

  • Complementary contributions of concurrent EEG and fMRI connectivity for predicting structural connectivity.

    Wirsich J, Ridley B, Besson P, Jirsa V, Bénar C, Ranjeva JP, Guye M. Wirsich J, et al. Neuroimage. 2017 Nov 1;161:251-260. doi: 10.1016/j.neuroimage.2017.08.055. Epub 2017 Aug 24. Neuroimage. 2017. PMID: 28842386

  • Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations.

    Sareen E, Zahar S, Ville DV, Gupta A, Griffa A, Amico E. Sareen E, et al. Neuroimage. 2021 Oct 15;240:118331. doi: 10.1016/j.neuroimage.2021.118331. Epub 2021 Jul 5. Neuroimage. 2021. PMID: 34237444

  • Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands.

    Deligianni F, Centeno M, Carmichael DW, Clayden JD. Deligianni F, et al. Front Neurosci. 2014 Aug 28;8:258. doi: 10.3389/fnins.2014.00258. eCollection 2014. Front Neurosci. 2014. PMID: 25221467 Free PMC article.

  • Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition.

    Wirsich J, Amico E, Giraud AL, Goñi J, Sadaghiani S. Wirsich J, et al. Netw Neurosci. 2020 Jul 1;4(3):658-677. doi: 10.1162/netn_a_00135. eCollection 2020. Netw Neurosci. 2020. PMID: 32885120 Free PMC article.

Cited by

  • Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.

    Shafiei G, Baillet S, Misic B. Shafiei G, et al. PLoS Biol. 2022 Aug 1;20(8):e3001735. doi: 10.1371/journal.pbio.3001735. eCollection 2022 Aug. PLoS Biol. 2022. PMID: 35914002 Free PMC article.

  • Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?

    Warbrick T. Warbrick T. Sensors (Basel). 2022 Mar 15;22(6):2262. doi: 10.3390/s22062262. Sensors (Basel). 2022. PMID: 35336434 Free PMC article. Review.

  • Homotopic functional connectivity disruptions in glioma patients are associated with tumor malignancy and overall survival.

    Daniel AGS, Hacker CD, Lee JJ, Dierker D, Humphries JB, Shimony JS, Leuthardt EC. Daniel AGS, et al. Neurooncol Adv. 2021 Nov 30;3(1):vdab176. doi: 10.1093/noajnl/vdab176. eCollection 2021 Jan-Dec. Neurooncol Adv. 2021. PMID: 34988455 Free PMC article.

  • Connectomics of human electrophysiology.

    Sadaghiani S, Brookes MJ, Baillet S. Sadaghiani S, et al. Neuroimage. 2022 Feb 15;247:118788. doi: 10.1016/j.neuroimage.2021.118788. Epub 2021 Dec 12. Neuroimage. 2022. PMID: 34906715 Free PMC article.

  • Brain Structural and Functional Connectivity: A Review of Combined Works of Diffusion Magnetic Resonance Imaging and Electro-Encephalography.

    Babaeeghazvini P, Rueda-Delgado LM, Gooijers J, Swinnen SP, Daffertshofer A. Babaeeghazvini P, et al. Front Hum Neurosci. 2021 Oct 7;15:721206. doi: 10.3389/fnhum.2021.721206. eCollection 2021. Front Hum Neurosci. 2021. PMID: 34690718 Free PMC article. Review.

Publication types

MeSH terms

LinkOut - more resources

  • Full Text Sources

    • Elsevier Science
    • Ovid Technologies, Inc.
  • Other Literature Sources

    • scite Smart Citations
  • Medical

    • MedlinePlus Health Information

What is the difference between brain MRI and EEG?

MRI has a higher spatial resolution than electroencephalography (EEG). MRI with hyperintense lesions on FLAIR and DWI provides information related to brain activity over a longer period of time than a standard EEG where only controversial patterns like lateralized periodic discharges (LPDs) may be recorded.

What do an EEG and an fMRI have in common?

Both methods are very sensitive to changes of synaptic activity, suggesting that with simultaneous EEG and fMRI the same neural events can be characterized with both high temporal and spatial resolution.

What can EEG do better than fMRI?

If you are more concerned with structural and functional detail, then MRI or fMRI could well be your choice if you are able to make the considerable investment required. For quicker, affordable, and accessible insights about brain function, with a tight temporal resolution, EEG is the method of choice.

What is an fMRI used for in psychology?

By using the blood's magnetic properties, fMRI can detect changes in blood flow related to brain activity, allowing scientists and physicians to tell which regions of the brain are more active than others. Currently, researchers use fMRI to study various aspects of brain activity in health and disease.