Literature DB >> 23253623

High-performance neuroprosthetic control by an individual with tetraplegia.

Jennifer L Collinger1, Brian Wodlinger, John E Downey, Wei Wang, Elizabeth C Tyler-Kabara, Douglas J Weber, Angus J C McMorland, Meel Velliste, Michael L Boninger, Andrew B Schwartz.   

Abstract

BACKGROUND: Paralysis or amputation of an arm results in the loss of the ability to orient the hand and grasp, manipulate, and carry objects, functions that are essential for activities of daily living. Brain-machine interfaces could provide a solution to restoring many of these lost functions. We therefore tested whether an individual with tetraplegia could rapidly achieve neurological control of a high-performance prosthetic limb using this type of an interface.
METHODS: We implanted two 96-channel intracortical microelectrodes in the motor cortex of a 52-year-old individual with tetraplegia. Brain-machine-interface training was done for 13 weeks with the goal of controlling an anthropomorphic prosthetic limb with seven degrees of freedom (three-dimensional translation, three-dimensional orientation, one-dimensional grasping). The participant's ability to control the prosthetic limb was assessed with clinical measures of upper limb function. This study is registered with ClinicalTrials.gov, NCT01364480.
FINDINGS: The participant was able to move the prosthetic limb freely in the three-dimensional workspace on the second day of training. After 13 weeks, robust seven-dimensional movements were performed routinely. Mean success rate on target-based reaching tasks was 91·6% (SD 4·4) versus median chance level 6·2% (95% CI 2·0-15·3). Improvements were seen in completion time (decreased from a mean of 148 s [SD 60] to 112 s [6]) and path efficiency (increased from 0·30 [0·04] to 0·38 [0·02]). The participant was also able to use the prosthetic limb to do skilful and coordinated reach and grasp movements that resulted in clinically significant gains in tests of upper limb function. No adverse events were reported.
INTERPRETATION: With continued development of neuroprosthetic limbs, individuals with long-term paralysis could recover the natural and intuitive command signals for hand placement, orientation, and reaching, allowing them to perform activities of daily living. FUNDING: Defense Advanced Research Projects Agency, National Institutes of Health, Department of Veterans Affairs, and UPMC Rehabilitation Institute.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23253623      PMCID: PMC3641862          DOI: 10.1016/S0140-6736(12)61816-9

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  26 in total

1.  Direct neural sensory feedback and control of a prosthetic arm.

Authors:  Gurpreet Singh Dhillon; Kenneth W Horch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-12       Impact factor: 3.802

2.  Motor cortical representation of position and velocity during reaching.

Authors:  Wei Wang; Sherwin S Chan; Dustin A Heldman; Daniel W Moran
Journal:  J Neurophysiol       Date:  2007-03-28       Impact factor: 2.714

3.  A standardized approach to performing the action research arm test.

Authors:  Nuray Yozbatiran; Lucy Der-Yeghiaian; Steven C Cramer
Journal:  Neurorehabil Neural Repair       Date:  2007-08-17       Impact factor: 3.919

4.  Functional network reorganization during learning in a brain-computer interface paradigm.

Authors:  Beata Jarosiewicz; Steven M Chase; George W Fraser; Meel Velliste; Robert E Kass; Andrew B Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-01       Impact factor: 11.205

5.  Cortical control of a prosthetic arm for self-feeding.

Authors:  Meel Velliste; Sagi Perel; M Chance Spalding; Andrew S Whitford; Andrew B Schwartz
Journal:  Nature       Date:  2008-05-28       Impact factor: 49.962

6.  Postural hand synergies for tool use.

Authors:  M Santello; M Flanders; J F Soechting
Journal:  J Neurosci       Date:  1998-12-01       Impact factor: 6.167

7.  Neuronal population coding of movement direction.

Authors:  A P Georgopoulos; A B Schwartz; R E Kettner
Journal:  Science       Date:  1986-09-26       Impact factor: 47.728

8.  Psychophysical determination of coordinate representation of human arm orientation.

Authors:  J F Soechting; B Ross
Journal:  Neuroscience       Date:  1984-10       Impact factor: 3.590

9.  Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.

Authors:  Todd A Kuiken; Guanglin Li; Blair A Lock; Robert D Lipschutz; Laura A Miller; Kathy A Stubblefield; Kevin B Englehart
Journal:  JAMA       Date:  2009-02-11       Impact factor: 56.272

10.  Direct control of paralysed muscles by cortical neurons.

Authors:  Chet T Moritz; Steve I Perlmutter; Eberhard E Fetz
Journal:  Nature       Date:  2008-10-15       Impact factor: 49.962

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  446 in total

1.  Parietal neural prosthetic control of a computer cursor in a graphical-user-interface task.

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.  Single-trial decoding of intended eye movement goals from lateral prefrontal cortex neural ensembles.

Authors:  Chadwick B Boulay; Florian Pieper; Matthew Leavitt; Julio Martinez-Trujillo; Adam J Sachs
Journal:  J Neurophysiol       Date:  2015-11-11       Impact factor: 2.714

3.  Ideas in movement: The next wave of brain-computer interfaces.

Authors:  Katherine Ellen Foley
Journal:  Nat Med       Date:  2016-01       Impact factor: 53.440

Review 4.  Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementations.

Authors:  Elliot Greenwald; Matthew R Masters; Nitish V Thakor
Journal:  Med Biol Eng Comput       Date:  2016-01-11       Impact factor: 2.602

5.  Transparent intracortical microprobe array for simultaneous spatiotemporal optical stimulation and multichannel electrical recording.

Authors:  Joonhee Lee; Ilker Ozden; Yoon-Kyu Song; Arto V Nurmikko
Journal:  Nat Methods       Date:  2015-10-12       Impact factor: 28.547

6.  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

7.  Modeling task-specific neuronal ensembles improves decoding of grasp.

Authors:  Ryan J Smith; Alcimar B Soares; Adam G Rouse; Marc H Schieber; Nitish V Thakor
Journal:  J Neural Eng       Date:  2018-02-02       Impact factor: 5.379

8.  Cuprizone-induced oligodendrocyte loss and demyelination impairs recording performance of chronically implanted neural interfaces.

Authors:  Steven M Wellman; Kelly Guzman; Kevin C Stieger; Lauren E Brink; Sadhana Sridhar; Mitchell T Dubaniewicz; Lehong Li; Franca Cambi; Takashi D Y Kozai
Journal:  Biomaterials       Date:  2020-02-06       Impact factor: 12.479

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

Review 10.  Clinical neuroprosthetics: Today and tomorrow.

Authors:  Morgan B Lee; Daniel R Kramer; Terrance Peng; Michael F Barbaro; Charles Y Liu; Spencer Kellis; Brian Lee
Journal:  J Clin Neurosci       Date:  2019-07-30       Impact factor: 1.961

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