Literature DB >> 15911809

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

A Kübler1, F Nijboer, J Mellinger, T M Vaughan, H Pawelzik, G Schalk, D J McFarland, N Birbaumer, J R Wolpaw.   

Abstract

People with severe motor disabilities can maintain an acceptable quality of life if they can communicate. Brain-computer interfaces (BCIs), which do not depend on muscle control, can provide communication. Four people severely disabled by ALS learned to operate a BCI with EEG rhythms recorded over sensorimotor cortex. These results suggest that a sensorimotor rhythm-based BCI could help maintain quality of life for people with ALS.

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Year:  2005        PMID： 15911809     DOI： 10.1212/01.WNL.0000158616.43002.6D

Source DB:  PubMed          Journal:  Neurology        ISSN： 0028-3878            Impact factor:   9.910


  105 in total

1.  Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

Authors:  D B Ryan; G E Frye; G Townsend; D R Berry; S Mesa-G; N A Gates; E W Sellers
Journal:  Int J Hum Comput Interact       Date:  2011-01-01       Impact factor: 3.353

2.  Error potential detection during continuous movement of an artificial arm controlled by brain-computer interface.

Authors:  Alex Kreilinger; Christa Neuper; Gernot R Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2012-01-01       Impact factor: 2.602

Review 3.  Useful signals from motor cortex.

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

4.  Electro-encephalogram based brain-computer interface: improved performance by mental practice and concentration skills.

Authors:  Babak Mahmoudi; Abbas Erfanian
Journal:  Med Biol Eng Comput       Date:  2006-10-07       Impact factor: 2.602

Review 5.  Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.

Authors:  Daryl R Kipke; William Shain; György Buzsáki; E Fetz; Jaimie M Henderson; Jamille F Hetke; Gerwin Schalk
Journal:  J Neurosci       Date:  2008-11-12       Impact factor: 6.167

6.  The performance of 9-11-year-old children using an SSVEP-based BCI for target selection.

Authors:  James J S Norton; Jessica Mullins; Birgit E Alitz; Timothy Bretl
Journal:  J Neural Eng       Date:  2018-06-28       Impact factor: 5.379

7.  Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

Authors:  A Kübler; N Birbaumer
Journal:  Clin Neurophysiol       Date:  2008-09-27       Impact factor: 3.708

8.  Microscale recording from human motor cortex: implications for minimally invasive electrocorticographic brain-computer interfaces.

Authors:  Eric C Leuthardt; Zac Freudenberg; David Bundy; Jarod Roland
Journal:  Neurosurg Focus       Date:  2009-07       Impact factor: 4.047

9.  Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance.

Authors:  Bryan S Baxter; Bradley J Edelman; Nicholas Nesbitt; Bin He
Journal:  Brain Stimul       Date:  2016-07-15       Impact factor: 8.955

10.  An MEG-based brain-computer interface (BCI).

Authors:  Jürgen Mellinger; Gerwin Schalk; Christoph Braun; Hubert Preissl; Wolfgang Rosenstiel; Niels Birbaumer; Andrea Kübler
Journal:  Neuroimage       Date:  2007-03-27       Impact factor: 6.556
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