Literature DB >> 25447224

Brain-controlled muscle stimulation for the restoration of motor function.

Christian Ethier1, Lee E Miller2.   

Abstract

Loss of the ability to move, as a consequence of spinal cord injury or neuromuscular disorder, has devastating consequences for the paralyzed individual, and great economic consequences for society. Functional electrical stimulation (FES) offers one means to restore some mobility to these individuals, improving not only their autonomy, but potentially their general health and well-being as well. FES uses electrical stimulation to cause the paralyzed muscles to contract. Existing clinical systems require the stimulation to be preprogrammed, with the patient typically using residual voluntary movement of another body part to trigger and control the patterned stimulation. The rapid development of neural interfacing in the past decade offers the promise of dramatically improved control for these patients, potentially allowing continuous control of FES through signals recorded from motor cortex, as the patient attempts to control the paralyzed body part. While application of these 'brain-machine interfaces' (BMIs) has undergone dramatic development for control of computer cursors and even robotic limbs, their use as an interface for FES has been much more limited. In this review, we consider both FES and BMI technologies and discuss the prospect for combining the two to provide important new options for paralyzed individuals.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain–machine interface; Functional electrical stimulation; Motor cortex; Paralysis; Spinal cord injury

Mesh:

Year:  2014        PMID: 25447224      PMCID: PMC4412757          DOI: 10.1016/j.nbd.2014.10.014

Source DB:  PubMed          Journal:  Neurobiol Dis        ISSN: 0969-9961            Impact factor:   5.996


  184 in total

1.  Direct comparison of the task-dependent discharge of M1 in hand space and muscle space.

Authors:  M M Morrow; L R Jordan; L E Miller
Journal:  J Neurophysiol       Date:  2006-11-22       Impact factor: 2.714

2.  Mixture of trajectory models for neural decoding of goal-directed movements.

Authors:  Byron M Yu; Caleb Kemere; Gopal Santhanam; Afsheen Afshar; Stephen I Ryu; Teresa H Meng; Maneesh Sahani; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2007-02-28       Impact factor: 2.714

3.  Predicting EMG with generalized Volterra kernel model.

Authors:  Dong Song; Phillip Hendrickson; Vasilis Z Marmarelis; Jose Aguayo; Jiping He; Gerald E Loeb; Theodore W Berger
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

4.  Motor cortical prediction of EMG: evidence that a kinetic brain-machine interface may be robust across altered movement dynamics.

Authors:  A Cherian; M O Krucoff; L E Miller
Journal:  J Neurophysiol       Date:  2011-05-11       Impact factor: 2.714

5.  An externally powered, multichannel, implantable stimulator for versatile control of paralyzed muscle.

Authors:  B Smith; P H Peckham; M W Keith; D D Roscoe
Journal:  IEEE Trans Biomed Eng       Date:  1987-07       Impact factor: 4.538

6.  A high-performance brain-computer interface.

Authors:  Gopal Santhanam; Stephen I Ryu; Byron M Yu; Afsheen Afshar; Krishna V Shenoy
Journal:  Nature       Date:  2006-07-13       Impact factor: 49.962

7.  Relating motor cortex spike trains to measures of motor performance.

Authors:  D R Humphrey
Journal:  Brain Res       Date:  1972-05-12       Impact factor: 3.252

8.  Brain mapping techniques to maximize resection, safety, and seizure control in children with brain tumors.

Authors:  M S Berger; J Kincaid; G A Ojemann; E Lettich
Journal:  Neurosurgery       Date:  1989-11       Impact factor: 4.654

9.  Electroencephalographic (EEG) control of three-dimensional movement.

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

10.  Brain mapping in a patient with congenital blindness - a case for multimodal approaches.

Authors:  Jarod L Roland; Carl D Hacker; Jonathan D Breshears; Charles M Gaona; R Edward Hogan; Harold Burton; Maurizio Corbetta; Eric C Leuthardt
Journal:  Front Hum Neurosci       Date:  2013-07-31       Impact factor: 3.169

View more
  7 in total

Review 1.  Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.

Authors:  David M Brandman; Sydney S Cash; Leigh R Hochberg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-03-02       Impact factor: 3.802

2.  Prediction of specific hand movements using electroencephalographic signals.

Authors:  Cesar Marquez-Chin; Kathryn Atwell; Milos R Popovic
Journal:  J Spinal Cord Med       Date:  2017-09-07       Impact factor: 1.985

3.  Non-Invasive Activation of Cervical Spinal Networks after Severe Paralysis.

Authors:  Parag Gad; Sujin Lee; Nicholas Terrafranca; Hui Zhong; Amanda Turner; Yury Gerasimenko; V Reggie Edgerton
Journal:  J Neurotrauma       Date:  2018-09-15       Impact factor: 5.269

4.  Revealing the unique features of each individual's muscle activation signatures.

Authors:  Jeroen Aeles; Fabian Horst; Sebastian Lapuschkin; Lilian Lacourpaille; François Hug
Journal:  J R Soc Interface       Date:  2021-01-13       Impact factor: 4.118

5.  Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia.

Authors:  Samuel C Colachis; Marcie A Bockbrader; Mingming Zhang; David A Friedenberg; Nicholas V Annetta; Michael A Schwemmer; Nicholas D Skomrock; Walter J Mysiw; Ali R Rezai; Herbert S Bresler; Gaurav Sharma
Journal:  Front Neurosci       Date:  2018-04-04       Impact factor: 4.677

6.  Decoding hind limb kinematics from neuronal activity of the dorsal horn neurons using multiple level learning algorithm.

Authors:  Hamed Yeganegi; Yaser Fathi; Abbas Erfanian
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

7.  Development of an Activity-Dependent Epidural Stimulation System in Freely Moving Spinal Cord Injured Rats: A Proof of Concept Study.

Authors:  Avi Rascoe; Pawan Sharma; Prithvi K Shah
Journal:  Front Neurosci       Date:  2018-07-23       Impact factor: 4.677

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.