EEG–fMRI Information Fusion: Biophysics and Data Analysis

Trujillo-Barreto, Nelson J.; Daunizeau, Jean; Laufs, Helmut; Friston, Karl J.

doi:10.1007/978-3-031-07121-8_28

Nelson J. Trujillo-Barreto³,
Jean Daunizeau⁴,
Helmut Laufs⁵ &
…
Karl J. Friston⁶

1318 Accesses

Abstract

The simultaneous recording and analysis of electroencephalography (EEG) and functional Magnetic Resonance Imaging data (fMRI) data have received substantial attention. The noninvasive and complementary nature of these modalities have motivated an increasing number of laboratories using simultaneous EEG–fMRI aiming to achieve both high temporal and spatial resolution of human brain function in vivo. However, despite continuous improvements, it remains a challenging technique. Recent developments in technical and algorithmic instrumentation have shifted the main rate-limiting factor in joint EEG–fMRI studies from data acquisition, to analytic and methodological aspects. A clear understanding of the neurophysiological factors linking these two types of observations remains elusive and a standard methodology for EEG–fMRI data integration is yet to be stablished. In this chapter, we provide an overview of the common approaches specifically employed for the integration of EEG and fMRI and highlight some of the most important outstanding challenges in this area.

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Acknowledgments

An EPSRC Fellowship (EP/N006771/1) to Dr. Trujillo-Barreto funded this work.

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Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
Nelson J. Trujillo-Barreto
Motivation, Brain and Behavior Group Brain and Spine Institute, Paris, France
Jean Daunizeau
Department of Neurology, Christian-Albrechts-University Kiel, Kiel, Germany
Helmut Laufs
Wellcome Centre for Human Neuroimaging, Institute of Neurology, UCL, London, UK
Karl J. Friston

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Nelson J. Trujillo-Barreto
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Jean Daunizeau
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Centre of Psychiatry, Justus Liebig University, Giessen, Germany
Christoph Mulert
UCL Queen Square Institute of Neurology, UCL, London, UK
Louis Lemieux

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Trujillo-Barreto, N.J., Daunizeau, J., Laufs, H., Friston, K.J. (2022). EEG–fMRI Information Fusion: Biophysics and Data Analysis. In: Mulert, C., Lemieux, L. (eds) EEG - fMRI. Springer, Cham. https://doi.org/10.1007/978-3-031-07121-8_28

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