Literature DB >> 23098729

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

Jose M Carmena1, Leonardo G Cohen.   

Abstract

Since its origins, the primary goal of transforming thought into action and sensation into perception has been to improve the quality of life for the physically impaired. Brain-machine interfaces (BMI) aim to improve the quality of life for large numbers of neurological patients. In particular, this novel technology is meant to play a major role in the near future as a serious contribution to spinal cord rehabilitation. During the last decade we have witnessed a dramatic increase in BMI research with impressive demonstrations of rodents, nonhuman primates, and humans controlling robots, wheelchairs, and graphical cursors in real time through signals collected from the brain. In this chapter we first review the different techniques used in the field of BMI, including electroencephalography (EEG), electrocorticography (ECoG), magnetoencephalography (MEG), and chronic multielectrode recordings. In addition we review the use of transcranial magnetic stimulation (TMS) for noninvasive modulation of excitability in relatively focal cortical areas. The chapter concludes with a discussion on the future implications of BMIs for directing functional movement and improving function after spinal injury in humans.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23098729      PMCID: PMC4880033          DOI: 10.1016/B978-0-444-52137-8.00027-9

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  69 in total

1.  Sensing without touching: psychophysical performance based on cortical microstimulation.

Authors:  R Romo; A Hernández; A Zainos; C D Brody; L Lemus
Journal:  Neuron       Date:  2000-04       Impact factor: 17.173

2.  Effects of low-frequency transcranial magnetic stimulation on motor excitability and basic motor behavior.

Authors:  W Muellbacher; U Ziemann; B Boroojerdi; M Hallett
Journal:  Clin Neurophysiol       Date:  2000-06       Impact factor: 3.708

3.  Complex movements evoked by microstimulation of precentral cortex.

Authors:  Michael S A Graziano; Charlotte S R Taylor; Tirin Moore
Journal:  Neuron       Date:  2002-05-30       Impact factor: 17.173

4.  Repetitive TMS of the motor cortex improves ipsilateral sequential simple finger movements.

Authors:  M Kobayashi; S Hutchinson; H Théoret; G Schlaug; A Pascual-Leone
Journal:  Neurology       Date:  2004-01-13       Impact factor: 9.910

5.  Facilitation of implicit motor learning by weak transcranial direct current stimulation of the primary motor cortex in the human.

Authors:  Michael A Nitsche; Astrid Schauenburg; Nicolas Lang; David Liebetanz; Cornelia Exner; Walter Paulus; Frithjof Tergau
Journal:  J Cogn Neurosci       Date:  2003-05-15       Impact factor: 3.225

6.  Chronic, multisite, multielectrode recordings in macaque monkeys.

Authors:  Miguel A L Nicolelis; Dragan Dimitrov; Jose M Carmena; Roy Crist; Gary Lehew; Jerald D Kralik; Steven P Wise
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-05       Impact factor: 11.205

7.  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

8.  Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface.

Authors:  Ranganatha Sitaram; Haihong Zhang; Cuntai Guan; Manoj Thulasidas; Yoko Hoshi; Akihiro Ishikawa; Koji Shimizu; Niels Birbaumer
Journal:  Neuroimage       Date:  2006-12-28       Impact factor: 6.556

Review 9.  Volitional control of neural activity: implications for brain-computer interfaces.

Authors:  Eberhard E Fetz
Journal:  J Physiol       Date:  2007-01-18       Impact factor: 5.182

10.  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

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  2 in total

Review 1.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

Review 2.  The Evolution of Neuroprosthetic Interfaces.

Authors:  Dayo O Adewole; Mijail D Serruya; James P Harris; Justin C Burrell; Dmitriy Petrov; H Isaac Chen; John A Wolf; D Kacy Cullen
Journal:  Crit Rev Biomed Eng       Date:  2016
  2 in total

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