Future developments in brain-machine interface research

Authors

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

DOI:

https://doi.org/10.1590/S1807-59322011001300004

Keywords:

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

Abstract

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 École Polytechnique Fédérale de Lausanne (EPFL) Center for Neuroprosthetics, to bring this new technology to clinical fruition.

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Published

2011-01-01

Issue

Section

nd1170047336

How to Cite

Future developments in brain-machine interface research . (2011). Clinics, 66(supl.1), 25-32. https://doi.org/10.1590/S1807-59322011001300004