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A Review of fMRI as a Tool for Enhancing Eeg-Based Brain-Machine Interfaces
Author(s) -
Luis J. Barrios,
M. Dolores del Castillo,
J. Ignacio Serrano,
José L. Pons
Publication year - 2012
Publication title -
applied bionics and biomechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.397
H-Index - 23
eISSN - 1754-2103
pISSN - 1176-2322
DOI - 10.1155/2012/545182
Subject(s) - modalities , electroencephalography , functional magnetic resonance imaging , neuroimaging , brain–computer interface , computer science , eeg fmri , context (archaeology) , brain activity and meditation , human–computer interaction , interface (matter) , modality (human–computer interaction) , neuroscience , psychology , artificial intelligence , sociology , paleontology , social science , bubble , maximum bubble pressure method , parallel computing , biology
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.

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