Future developments in brain-machine interface research

Mikhail A. Lebedev, Andrew J. Tate, Timothy L. Hanson, Zheng Li, Joseph E. O'Doherty, Jesse A. Winans, Peter J. Ifft, Katie Z. Zhuang, Nathan A. Fitzsimmons, David A. Schwarz, Andrew M. Fuller, Je Hi An, Miguel A.L. Nicolelis

    Research output: Contribution to journalReview articlepeer-review

    82 Citations (Scopus)


    Neuroprosthetic devices based on brain-machine interface technology hold promise for the restoration of body mobility in patients suffering from devastating motor deficits caused by brain injury, neurologic diseases and limb loss. During the last decade, considerable progress has been achieved in this multidisciplinary research, mainly in the brain-machine interface that enacts upper-limb functionality. However, a considerable number of problems need to be resolved before fully functional limb neuroprostheses can be built. To move towards developing neuroprosthetic devices for humans, brain-machine interface research has to address a number of issues related to improving the quality of neuronal recordings, achieving stable, long-term performance, and extending the brain-machine interface approach to a broad range of motor and sensory functions. Here, we review the future steps that are part of the strategic plan of the Duke University Center for Neuroengineering, and its partners, the Brazilian National Institute of Brain-Machine Interfaces and the Ecole Polytechnique Federale de Lausanne (EPFL) Center for Neuroprosthetics, to bring this new technology to clinical fruition.

    Original languageEnglish
    Pages (from-to)25-32
    Number of pages8
    Issue numberSUPPL.1
    Publication statusPublished - 2011


    • Bipedal locomotion
    • Brain-machine interface
    • Intracortical microstimulation
    • Neuroprosthetic
    • Primate
    • Sensory substitution


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