SSVEP signatures of binocular rivalry during simultaneous EEG and fMRI

Keith W. Jamison, Abhrajeet V. Roy, Sheng He, Stephen A Engel, Bin He

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Background: Binocular rivalry is a perceptual phenomenon that arises when two incompatible images are presented separately, one to each eye, and the observer experiences involuntary perceptual alternations between the two images. If the two images are flickering at two distinct frequencies, electroencephalography (EEG) can be used to track the frequency-tagged steady-state visually evoked potential (SSVEP) driven by each image as they compete for awareness, providing an objective measure of the subjective perceptual state. This spontaneous alternation in perceptual dominance is believed to be driven by neural processes across widespread regions in the brain, but the real-time mechanisms of these processes remain unclear. New Method: The goal of this study was to determine the feasibility of investigating binocular rivalry using a simultaneous EEG-fMRI approach in order to leverage the high temporal resolution of EEG with the high spatial resolution of fMRI. Results: We have developed novel techniques for artifact removal and signal optimization for the rivalry-related SSVEP data collected simultaneously during fMRI. Comparison with Existing Methods: Our methods address several significant technical challenges of recording SSVEP data in the noisy fMRI environment, and enabled us to successfully reconstruct SSVEP signatures of rivalry in a group of healthy human subjects. Conclusion: Further development and application of these techniques will enable more comprehensive integration of EEG and fMRI data collected simultaneously and could have significant implications for EEG-fMRI studies of brain activity in general.

Original languageEnglish (US)
Pages (from-to)53-62
Number of pages10
JournalJournal of Neuroscience Methods
Volume243
DOIs
StatePublished - Mar 1 2015

Bibliographical note

Funding Information:
This work was supported in part by NIH R01EY 023101, R01 EB006433, and T32 EB008389 .

Publisher Copyright:
© 2015 Elsevier B.V.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • Binocular rivalry
  • EEG
  • FMRI
  • Frequency tagging
  • Multimodal imaging
  • SSVEP

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