Literature DB >> 18509337

Cortical control of a prosthetic arm for self-feeding.

Meel Velliste1, Sagi Perel, M Chance Spalding, Andrew S Whitford, Andrew B Schwartz.   

Abstract

Arm movement is well represented in populations of neurons recorded from the motor cortex. Cortical activity patterns have been used in the new field of brain-machine interfaces to show how cursors on computer displays can be moved in two- and three-dimensional space. Although the ability to move a cursor can be useful in its own right, this technology could be applied to restore arm and hand function for amputees and paralysed persons. However, the use of cortical signals to control a multi-jointed prosthetic device for direct real-time interaction with the physical environment ('embodiment') has not been demonstrated. Here we describe a system that permits embodied prosthetic control; we show how monkeys (Macaca mulatta) use their motor cortical activity to control a mechanized arm replica in a self-feeding task. In addition to the three dimensions of movement, the subjects' cortical signals also proportionally controlled a gripper on the end of the arm. Owing to the physical interaction between the monkey, the robotic arm and objects in the workspace, this new task presented a higher level of difficulty than previous virtual (cursor-control) experiments. Apart from an example of simple one-dimensional control, previous experiments have lacked physical interaction even in cases where a robotic arm or hand was included in the control loop, because the subjects did not use it to interact with physical objects-an interaction that cannot be fully simulated. This demonstration of multi-degree-of-freedom embodied prosthetic control paves the way towards the development of dexterous prosthetic devices that could ultimately achieve arm and hand function at a near-natural level.

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Year:  2008        PMID: 18509337     DOI: 10.1038/nature06996

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  440 in total

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Authors:  Boris Revechkis; Tyson N S Aflalo; Spencer Kellis; Nader Pouratian; Richard A Andersen
Journal:  J Neural Eng       Date:  2014-11-14       Impact factor: 5.379

2.  Sensing with the motor cortex.

Authors:  Nicholas G Hatsopoulos; Aaron J Suminski
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

3.  Point-and-click cursor control with an intracortical neural interface system by humans with tetraplegia.

Authors:  Sung-Phil Kim; John D Simeral; Leigh R Hochberg; John P Donoghue; Gerhard M Friehs; Michael J Black
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-01-28       Impact factor: 3.802

4.  A system for recording neural activity chronically and simultaneously from multiple cortical and subcortical regions in nonhuman primates.

Authors:  Joseph Feingold; Theresa M Desrochers; Naotaka Fujii; Ray Harlan; Patrick L Tierney; Hideki Shimazu; Ken-Ichi Amemori; Ann M Graybiel
Journal:  J Neurophysiol       Date:  2011-12-14       Impact factor: 2.714

5.  Local field potentials allow accurate decoding of muscle activity.

Authors:  Robert D Flint; Christian Ethier; Emily R Oby; Lee E Miller; Marc W Slutzky
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

6.  Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex.

Authors:  Steven M Chase; Robert E Kass; Andrew B Schwartz
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

Review 7.  Brain-computer interfaces in medicine.

Authors:  Jerry J Shih; Dean J Krusienski; Jonathan R Wolpaw
Journal:  Mayo Clin Proc       Date:  2012-02-10       Impact factor: 7.616

8.  Neural control of finger movement via intracortical brain-machine interface.

Authors:  Z T Irwin; K E Schroeder; P P Vu; A J Bullard; D M Tat; C S Nu; A Vaskov; S R Nason; D E Thompson; J N Bentley; P G Patil; C A Chestek
Journal:  J Neural Eng       Date:  2017-12       Impact factor: 5.379

9.  Collaborative approach in the development of high-performance brain-computer interfaces for a neuroprosthetic arm: translation from animal models to human control.

Authors:  Jennifer L Collinger; Michael A Kryger; Richard Barbara; Timothy Betler; Kristen Bowsher; Elke H P Brown; Samuel T Clanton; Alan D Degenhart; Stephen T Foldes; Robert A Gaunt; Ferenc E Gyulai; Elizabeth A Harchick; Deborah Harrington; John B Helder; Timothy Hemmes; Matthew S Johannes; Kapil D Katyal; Geoffrey S F Ling; Angus J C McMorland; Karina Palko; Matthew P Para; Janet Scheuermann; Andrew B Schwartz; Elizabeth R Skidmore; Florian Solzbacher; Anita V Srikameswaran; Dennis P Swanson; Scott Swetz; Elizabeth C Tyler-Kabara; Meel Velliste; Wei Wang; Douglas J Weber; Brian Wodlinger; Michael L Boninger
Journal:  Clin Transl Sci       Date:  2013-08-27       Impact factor: 4.689

10.  Brain-machine interfaces and transcranial stimulation: future implications for directing functional movement and improving function after spinal injury in humans.

Authors:  Jose M Carmena; Leonardo G Cohen
Journal:  Handb Clin Neurol       Date:  2012
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