Inferring macroscale network dynamics via EEG-fMRI fusion

Philiastides, M. , Tu, T. and Sajda, P. (2021) Inferring macroscale network dynamics via EEG-fMRI fusion. Annual Review of Neuroscience, 44, pp. 315-334. (doi: 10.1146/annurev-neuro-100220-093239) (PMID:33761268)

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Advances in the instrumentation and signal processing for simultaneously acquired electroencephalography and functional magnetic resonance imaging (EEG-fMRI) have enabled new ways to observe the spatiotemporal neural dynamics of the human brain. Central to the utility of EEG-fMRI neuroimaging systems are the methods for fusing the two data streams, with machine learning playing a key role. These methods can be dichotomized into those that are symmetric and asymmetric in terms of how the two modalities inform the fusion. Studies using these methods have shown that fusion yields new insights into brain function that are not possible when each modality is acquired separately. As technology improves and methods for fusion become more sophisticated, the future of EEG-fMRI for noninvasive measurement of brain dynamics includes mesoscale mapping at ultrahigh magnetic resonance fields, targeted perturbation-based neuroimaging, and using deep learning to uncover nonlinear representations that link the electrophysiological and hemodynamic measurements.

Item Type:Articles
Additional Information:M.G.P. was supported by grants from the European Research Council (865003), the Biotechnology and Biological Sciences Research Council (BB/J015393/1-2), and the Economic and Social Research Council (ES/L012995/1). P.S. was supported by grants from the National Institutes of Health (MH106775), the Army Research Laboratory Cooperative Agreement W911NF-10-2- 0022, and a Vannevar Bush Faculty Fellowship from the US Department of Defense (N00014- 20-1-2027).
Glasgow Author(s) Enlighten ID:Sajda, Professor Paul and Philiastides, Professor Marios
Authors: Philiastides, M., Tu, T., and Sajda, P.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Annual Review of Neuroscience
Publisher:Annual Reviews
ISSN (Online):1545-4126
Published Online:24 March 2021
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
169193Spatiotemporal characterization of value judgments and reward processing in the human brainMarios PhiliastidesBiotechnology and Biological Sciences Research Council (BBSRC)BB/J015393/2NP - Centre for Cognitive Neuroimaging (CCNi)
170631Neural correlates of learning and confidence during decision making and their utility in developing "intelligent technologies".Marios PhiliastidesEconomic and Social Research Council (ESRC)ES/L012995/1NP - Centre for Cognitive Neuroimaging (CCNi)