Literature DB >> 27216571

Brain-machine interface facilitated neurorehabilitation via spinal stimulation after spinal cord injury: Recent progress and future perspectives.

Monzurul Alam1, Willyam Rodrigues2, Bau Ngoc Pham3, Nitish V Thakor4.   

Abstract

Restoration of motor function is one of the highest priorities in individuals afflicted with spinal cord injury (SCI). The application of brain-machine interfaces (BMIs) to neuroprostheses provides an innovative approach to treat patients with sensorimotor impairments. A BMI decodes motor intent from cortical signals to control external devices such as a computer cursor or a robotic arm. Recent BMI systems can now use these motor intent signals to directly activate paretic muscles or to modulate the spinal cord in a way that reengage dormant neuromuscular systems below the level of injury. In this perspective, we review the progress made in the development of brain-machine-spinal-cord interfaces (BMSCIs) and highlight their potential for neurorehabilitation after SCI. The advancement and application of these neuroprostheses goes beyond improved motor control. The use of BMSCI may combine repetitive physical training along with intent-driven neuromodulation to promote neurorehabilitation by facilitating activity-dependent plasticity. Strong evidence suggests that proper timing of volitional neuromodulation facilitates long-term potentiation in the neuronal circuits that can promote permanent functional recovery in SCI subjects. However, the effectiveness of these implantable neuroprostheses must take into account the fact that there will be continuous changes in the interface between the signals of intent and the actual trigger to initiate the motor action.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain-machine interface; Electrical stimulation; Spinal cord injury

Mesh:

Year:  2016        PMID: 27216571     DOI: 10.1016/j.brainres.2016.05.039

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  17 in total

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Authors:  Rani Shiao; Corinne A Lee-Kubli
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2.  Electrical neuromodulation of the cervical spinal cord facilitates forelimb skilled function recovery in spinal cord injured rats.

Authors:  Monzurul Alam; Guillermo Garcia-Alias; Benita Jin; Jonathan Keyes; Hui Zhong; Roland R Roy; Yury Gerasimenko; Daniel C Lu; V Reggie Edgerton
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3.  Application of a neural interface for restoration of leg movements: Intra-spinal stimulation using the brain electrical activity in spinally injured rabbits.

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4.  Concerns in the Blurred Divisions between Medical and Consumer Neurotechnology.

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Journal:  IEEE Syst J       Date:  2020-12-18       Impact factor: 4.802

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Authors:  Thomas H Hutson; Simone Di Giovanni
Journal:  Nat Rev Neurol       Date:  2019-11-14       Impact factor: 42.937

6.  Motor neuroprosthesis for injured spinal cord: who is an ideal candidate?

Authors:  Monzurul Alam; Yong-Ping Zheng
Journal:  Neural Regen Res       Date:  2017-11       Impact factor: 5.135

Review 7.  Ethical aspects of brain computer interfaces: a scoping review.

Authors:  Sasha Burwell; Matthew Sample; Eric Racine
Journal:  BMC Med Ethics       Date:  2017-11-09       Impact factor: 2.652

8.  A Systematic Review of Investigations into Functional Brain Connectivity Following Spinal Cord Injury.

Authors:  Alkinoos Athanasiou; Manousos A Klados; Niki Pandria; Nicolas Foroglou; Kyriaki R Kavazidi; Konstantinos Polyzoidis; Panagiotis D Bamidis
Journal:  Front Hum Neurosci       Date:  2017-10-25       Impact factor: 3.169

9.  Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics.

Authors:  M Morrison; P D Maia; J N Kutz
Journal:  Comput Math Methods Med       Date:  2017-09-05       Impact factor: 2.238

10.  Volition-adaptive control for gait training using wearable exoskeleton: preliminary tests with incomplete spinal cord injury individuals.

Authors:  Vijaykumar Rajasekaran; Eduardo López-Larraz; Fernando Trincado-Alonso; Joan Aranda; Luis Montesano; Antonio J Del-Ama; Jose L Pons
Journal:  J Neuroeng Rehabil       Date:  2018-01-03       Impact factor: 4.262

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