A review of fMRI as a tool for enhancing EEG-based brain-machine interfaces

Luis J. Barrios*, Maria D. Del Castillo, José I. Serrano, Jose L Pons

*Corresponding author for this work

Research output: Contribution to journalReview article

3 Scopus citations

Abstract

Human-robot interaction has been going stronger and stronger, up to find a notorious level on brain-machines interfaces. This assistive technology offers a great hope for patients suffering severe neuromuscular disorders. Starting from the current limitations hindering its extensive application outside the research laboratories, this paper reviews findings and prospects on functional magnetic resonance imaging showing how fMRI can help to overcome those limitations, while playing a key role on improving the development of brain-machine interfaces based on electroencephalography. The different types of derived benefits for this interfaces, as well as the different kinds of impact on their components, are presented under a field classification that reveals the distinctive roles that fMRI can play on the present context. The review concludes that fMRI provides complementary knowledge of immediate application, and that a greater profit could be obtained from the own EEG signal by integrating both neuroimaging modalities.

Original languageEnglish (US)
Pages (from-to)125-133
Number of pages9
JournalApplied Bionics and Biomechanics
Volume9
Issue number2
DOIs
StatePublished - Jan 1 2012

Keywords

  • BCI
  • BMI
  • Brain-machine interface
  • EEG
  • fMRI
  • human-robot interaction
  • multimodal neuroimaging

ASJC Scopus subject areas

  • Biotechnology
  • Medicine (miscellaneous)
  • Bioengineering
  • Biomedical Engineering

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