Literature DB >> 17015237

Brain-controlled interfaces: movement restoration with neural prosthetics.

Andrew B Schwartz1, X Tracy Cui, Douglas J Weber, Daniel W Moran.   

Abstract

Brain-controlled interfaces are devices that capture brain transmissions involved in a subject's intention to act, with the potential to restore communication and movement to those who are immobilized. Current devices record electrical activity from the scalp, on the surface of the brain, and within the cerebral cortex. These signals are being translated to command signals driving prosthetic limbs and computer displays. Somatosensory feedback is being added to this control as generated behaviors become more complex. New technology to engineer the tissue-electrode interface, electrode design, and extraction algorithms to transform the recorded signal to movement will help translate exciting laboratory demonstrations to patient practice in the near future.

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Year:  2006        PMID: 17015237     DOI: 10.1016/j.neuron.2006.09.019

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  178 in total

1.  Determination of electrode to nerve fiber distance and nerve conduction velocity through spectral analysis of the extracellular action potentials recorded from earthworm giant fibers.

Authors:  Shaoyu Qiao; Onyekachi Odoemene; Ken Yoshida
Journal:  Med Biol Eng Comput       Date:  2012-06-20       Impact factor: 2.602

2.  Reduction of neurovascular damage resulting from microelectrode insertion into the cerebral cortex using in vivo two-photon mapping.

Authors:  T D Y Kozai; T C Marzullo; F Hooi; N B Langhals; A K Majewska; E B Brown; D R Kipke
Journal:  J Neural Eng       Date:  2010-07-19       Impact factor: 5.379

Review 3.  Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementations.

Authors:  Elliot Greenwald; Matthew R Masters; Nitish V Thakor
Journal:  Med Biol Eng Comput       Date:  2016-01-11       Impact factor: 2.602

Review 4.  Useful signals from motor cortex.

Authors:  Andrew B Schwartz
Journal:  J Physiol       Date:  2007-01-25       Impact factor: 5.182

5.  Predicting movement from multiunit activity.

Authors:  Eran Stark; Moshe Abeles
Journal:  J Neurosci       Date:  2007-08-01       Impact factor: 6.167

6.  Cuprizone-induced oligodendrocyte loss and demyelination impairs recording performance of chronically implanted neural interfaces.

Authors:  Steven M Wellman; Kelly Guzman; Kevin C Stieger; Lauren E Brink; Sadhana Sridhar; Mitchell T Dubaniewicz; Lehong Li; Franca Cambi; Takashi D Y Kozai
Journal:  Biomaterials       Date:  2020-02-06       Impact factor: 12.479

7.  Brain control of movement execution onset using local field potentials in posterior parietal cortex.

Authors:  Eun Jung Hwang; Richard A Andersen
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

Review 8.  Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity.

Authors:  Wei Wang; Jennifer L Collinger; Monica A Perez; Elizabeth C Tyler-Kabara; Leonardo G Cohen; Niels Birbaumer; Steven W Brose; Andrew B Schwartz; Michael L Boninger; Douglas J Weber
Journal:  Phys Med Rehabil Clin N Am       Date:  2010-02       Impact factor: 1.784

9.  Optimization of electrode channels in Brain Computer Interfaces.

Authors:  M Kamrunnahar; N S Dias; S J Schiff
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  In vivo testing of a low noise 32-channel wireless neural recording system.

Authors:  Ming Yin; Seung Bae Lee; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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