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Electroencephalographic motor imagery brain connectivity analysis for BCI: a review

Hamedi, Mahyar and Salleh, Sh. Hussain and Mohd. Noor, Alias (2016) Electroencephalographic motor imagery brain connectivity analysis for BCI: a review. Neural Computation, 28 (6). pp. 999-1041. ISSN 0899-7667

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Official URL: http://dx.doi.org/10.1162/NECO_a_00838


Recent research has reached a consensus on the feasibility of motor imagery brain-computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most MI-BCI systems rely on temporal, spectral, and spatial features of single channels to distinguish differentMI patterns. However, no successful communication has been established for a completely locked-in subject. To provide more useful and informative features, it has been recommended to take into account the relationships among electroencephalographic (EEG) sensor/source signals in the form of brain connectivity as an efficient tool of neuroscience. In this review,we briefly report the challenges and limitations of conventional MI-BCIs. Brain connectivity analysis, particularly functional and effective, has been described as one of the most promising approaches for improving MI-BCI performance. An extensive literature on EEG-based MI brain connectivity analysis of healthy subjects is reviewed. We subsequently discuss the brain connectomes during left and right hand, feet, and tongueMImovements. Moreover, key components involved in brain connectivity analysis that considerably affect the results are explained. Finally, possible technical shortcomings that may have influenced the results in previous research are addressed and suggestions are provided.

Item Type:Article
Uncontrolled Keywords:brain computer interface
Subjects:R Medicine > R Medicine (General)
Divisions:Biosciences and Medical Engineering
ID Code:69355
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:22 Nov 2017 00:45
Last Modified:22 Nov 2017 00:45

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