Literature DB >> 21436513

Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array.

J D Simeral1, S-P Kim, M J Black, J P Donoghue, L R Hochberg.   

Abstract

The ongoing pilot clinical trial of the BrainGate neural interface system aims in part to assess the feasibility of using neural activity obtained from a small-scale, chronically implanted, intracortical microelectrode array to provide control signals for a neural prosthesis system. Critical questions include how long implanted microelectrodes will record useful neural signals, how reliably those signals can be acquired and decoded, and how effectively they can be used to control various assistive technologies such as computers and robotic assistive devices, or to enable functional electrical stimulation of paralyzed muscles. Here we examined these questions by assessing neural cursor control and BrainGate system characteristics on five consecutive days 1000 days after implant of a 4 × 4 mm array of 100 microelectrodes in the motor cortex of a human with longstanding tetraplegia subsequent to a brainstem stroke. On each of five prospectively-selected days we performed time-amplitude sorting of neuronal spiking activity, trained a population-based Kalman velocity decoding filter combined with a linear discriminant click state classifier, and then assessed closed-loop point-and-click cursor control. The participant performed both an eight-target center-out task and a random target Fitts metric task which was adapted from a human-computer interaction ISO standard used to quantify performance of computer input devices. The neural interface system was further characterized by daily measurement of electrode impedances, unit waveforms and local field potentials. Across the five days, spiking signals were obtained from 41 of 96 electrodes and were successfully decoded to provide neural cursor point-and-click control with a mean task performance of 91.3% ± 0.1% (mean ± s.d.) correct target acquisition. Results across five consecutive days demonstrate that a neural interface system based on an intracortical microelectrode array can provide repeatable, accurate point-and-click control of a computer interface to an individual with tetraplegia 1000 days after implantation of this sensor.

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Mesh:

Year:  2011        PMID: 21436513      PMCID: PMC3715131          DOI: 10.1088/1741-2560/8/2/025027

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  87 in total

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Authors:  Eran Stark; Rotem Drori; Moshe Abeles
Journal:  Cortex       Date:  2008-07-10       Impact factor: 4.027

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Journal:  Exp Neurol       Date:  1999-03       Impact factor: 5.330

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Authors:  Dennis J McFarland; William A Sarnacki; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2010-05-11       Impact factor: 5.379

9.  Electrocorticographically controlled brain-computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants. Report of four cases.

Authors:  Elizabeth A Felton; J Adam Wilson; Justin C Williams; P Charles Garell
Journal:  J Neurosurg       Date:  2007-03       Impact factor: 5.115

10.  Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia.

Authors:  Sung-Phil Kim; John D Simeral; Leigh R Hochberg; John P Donoghue; Michael J Black
Journal:  J Neural Eng       Date:  2008-11-18       Impact factor: 5.379

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  155 in total

1.  Sensing with the motor cortex.

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

2.  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

Review 3.  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

4.  Compliant intracortical implants reduce strains and strain rates in brain tissue in vivo.

Authors:  Arati Sridharan; Jessica K Nguyen; Jeffrey R Capadona; Jit Muthuswamy
Journal:  J Neural Eng       Date:  2015-04-02       Impact factor: 5.379

5.  Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate.

Authors:  Alan D Degenhart; James Eles; Richard Dum; Jessica L Mischel; Ivan Smalianchuk; Bridget Endler; Robin C Ashmore; Elizabeth C Tyler-Kabara; Nicholas G Hatsopoulos; Wei Wang; Aaron P Batista; X Tracy Cui
Journal:  J Neural Eng       Date:  2016-06-28       Impact factor: 5.379

6.  Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression.

Authors:  David M Brandman; Michael C Burkhart; Jessica Kelemen; Brian Franco; Matthew T Harrison; Leigh R Hochberg
Journal:  Neural Comput       Date:  2018-09-14       Impact factor: 2.026

7.  High-performance neuroprosthetic control by an individual with tetraplegia.

Authors:  Jennifer L Collinger; 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
Journal:  Lancet       Date:  2012-12-17       Impact factor: 79.321

8.  An implantable wireless neural interface for recording cortical circuit dynamics in moving primates.

Authors:  David A Borton; Ming Yin; Juan Aceros; Arto Nurmikko
Journal:  J Neural Eng       Date:  2013-02-21       Impact factor: 5.379

9.  Intention estimation in brain-machine interfaces.

Authors:  Joline M Fan; Paul Nuyujukian; Jonathan C Kao; Cynthia A Chestek; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2014-02       Impact factor: 5.379

10.  Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

Authors:  A R Marathe; D M Taylor
Journal:  J Neural Eng       Date:  2013-04-23       Impact factor: 5.379

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