Literature DB >> 19569889

National Institute of Neurological Disorders and Stroke support for brain-machine interface technology.

Joseph J Pancrazio1.   

Abstract

Brain-machine interfaces (BMIs) offer the promise of restoring communication, enabling control of assistive devices, and allowing volitional control of extremities in paralyzed individuals. Working in multidisciplinary teams, neurosurgeons can play an invaluable role in the design, development, and demonstration of novel BMI technology. At the National Institutes of Health, the National Institute of Neurological Disorders and Stroke has a long history of supporting neural engineering and prosthetics efforts including BMI, and these research opportunities continue today. The author provides a brief overview of the opportunities and programs currently available to support BMI projects.

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Year:  2009        PMID: 19569889      PMCID: PMC2742776          DOI: 10.3171/2009.3.FOCUS0989

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  7 in total

1.  [Auditory prosthesis by means of a distant electrical stimulation of the sensory nerve with the use of an indwelt coiling].

Authors:  A DJOURNO; C EYRIES
Journal:  Presse Med       Date:  1957-08-31       Impact factor: 1.228

Review 2.  Brain-machine interfaces: past, present and future.

Authors:  Mikhail A Lebedev; Miguel A L Nicolelis
Journal:  Trends Neurosci       Date:  2006-07-21       Impact factor: 13.837

3.  The sensations produced by electrical stimulation of the visual cortex.

Authors:  G S Brindley; W S Lewin
Journal:  J Physiol       Date:  1968-05       Impact factor: 5.182

4.  Neural prostheses.

Authors:  K Frank; F T Hambrecht
Journal:  Brain Behav Evol       Date:  1977-02       Impact factor: 1.808

Review 5.  Brain-computer interfaces: communication and restoration of movement in paralysis.

Authors:  Niels Birbaumer; Leonardo G Cohen
Journal:  J Physiol       Date:  2007-01-18       Impact factor: 5.182

Review 6.  Biomimetic brain machine interfaces for the control of movement.

Authors:  Andrew H Fagg; Nicholas G Hatsopoulos; Victor de Lafuente; Karen A Moxon; Shamim Nemati; James M Rebesco; Ranulfo Romo; Sara A Solla; Jake Reimer; Dennis Tkach; Eric A Pohlmeyer; Lee E Miller
Journal:  J Neurosci       Date:  2007-10-31       Impact factor: 6.167

7.  Two-dimensional movement control using electrocorticographic signals in humans.

Authors:  G Schalk; K J Miller; N R Anderson; J A Wilson; M D Smyth; J G Ojemann; D W Moran; J R Wolpaw; E C Leuthardt
Journal:  J Neural Eng       Date:  2008-02-01       Impact factor: 5.379

  7 in total
  1 in total

Review 1.  The emergence of single neurons in clinical neurology.

Authors:  Sydney S Cash; Leigh R Hochberg
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

  1 in total

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