Literature DB >> 18786603

A scanning protocol for a sensorimotor rhythm-based brain-computer interface.

Elisabeth V C Friedrich1, Dennis J McFarland, Christa Neuper, Theresa M Vaughan, Peter Brunner, Jonathan R Wolpaw.   

Abstract

The scanning protocol is a novel brain-computer interface (BCI) implementation that can be controlled with sensorimotor rhythms (SMRs) of the electroencephalogram (EEG). The user views a screen that shows four choices in a linear array with one marked as target. The four choices are successively highlighted for 2.5s each. When a target is highlighted, the user can select it by modulating the SMR. An advantage of this method is the capacity to choose among multiple choices with just one learned SMR modulation. Each of 10 naive users trained for ten 30 min sessions over 5 weeks. User performance improved significantly (p<0.001) over the sessions and ranged from 30 to 80% mean accuracy of the last three sessions (chance accuracy=25%). The incidence of correct selections depended on the target position. These results suggest that, with further improvements, a scanning protocol can be effective. The ultimate goal is to expand it to a large matrix of selections.

Entities:  

Mesh:

Year:  2008        PMID: 18786603      PMCID: PMC2952890          DOI: 10.1016/j.biopsycho.2008.08.004

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  22 in total

1.  Mu and beta rhythm topographies during motor imagery and actual movements.

Authors:  D J McFarland; L A Miner; T M Vaughan; J R Wolpaw
Journal:  Brain Topogr       Date:  2000       Impact factor: 3.020

2.  Evidence for distinct beta resonance frequencies in human EEG related to specific sensorimotor cortical areas.

Authors:  C Neuper; G Pfurtscheller
Journal:  Clin Neurophysiol       Date:  2001-11       Impact factor: 3.708

Review 3.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

4.  Brain-computer interface (BCI) operation: optimizing information transfer rates.

Authors:  Dennis J McFarland; William A Sarnacki; Jonathan R Wolpaw
Journal:  Biol Psychol       Date:  2003-07       Impact factor: 3.251

5.  The Wadsworth Center brain-computer interface (BCI) research and development program.

Authors:  Jonathan R Wolpaw; Dennis J McFarland; Theresa M Vaughan; Gerwin Schalk
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

6.  EMG contamination of EEG: spectral and topographical characteristics.

Authors:  I I Goncharova; D J McFarland; T M Vaughan; J R Wolpaw
Journal:  Clin Neurophysiol       Date:  2003-09       Impact factor: 3.708

7.  Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairment.

Authors:  C Neuper; G R Müller; A Kübler; N Birbaumer; G Pfurtscheller
Journal:  Clin Neurophysiol       Date:  2003-03       Impact factor: 3.708

8.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Authors:  Jonathan R Wolpaw; Dennis J McFarland
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-07       Impact factor: 11.205

9.  EEG-based communication and control: speed-accuracy relationships.

Authors:  Dennis J McFarland; Jonathan R Wolpaw
Journal:  Appl Psychophysiol Biofeedback       Date:  2003-09

10.  Electroencephalographic(EEG)-based communication: EEG control versus system performance in humans.

Authors:  Hesham Sheikh; Dennis J McFarland; William A Sarnacki; Jonathan R Wolpaw
Journal:  Neurosci Lett       Date:  2003-07-17       Impact factor: 3.046

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  13 in total

1.  A sensorimotor rhythm based goal selection brain-computer interface.

Authors:  Audrey S Royer; Andrew McCullough; Bin He
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

2.  Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Adrienne R Pitt
Journal:  Assist Technol Outcomes Benefits       Date:  2019

3.  A comparison of regression techniques for a two-dimensional sensorimotor rhythm-based brain-computer interface.

Authors:  Joan Fruitet; Dennis J McFarland; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2010-01-14       Impact factor: 5.379

4.  Goal selection versus process control in a brain-computer interface based on sensorimotor rhythms.

Authors:  Audrey S Royer; Bin He
Journal:  J Neural Eng       Date:  2009-01-20       Impact factor: 5.379

5.  Behind the Scenes of Noninvasive Brain-Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Jeremy D Burnison; Jyutika Mehta; Juhi Kidwai
Journal:  Perspect ASHA Spec Interest Groups       Date:  2019-11-09

6.  Evaluating the perspectives of those with severe physical impairments while learning BCI control of a commercial augmentative and alternative communication paradigm.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Assist Technol       Date:  2021-07-09

7.  Performance assessment in brain-computer interface-based augmentative and alternative communication.

Authors:  David E Thompson; Stefanie Blain-Moraes; Jane E Huggins
Journal:  Biomed Eng Online       Date:  2013-05-16       Impact factor: 2.819

8.  Evaluating person-centered factors associated with brain-computer interface access to a commercial augmentative and alternative communication paradigm.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Assist Technol       Date:  2021-03-05

9.  Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR).

Authors:  Eva M Hammer; Tobias Kaufmann; Sonja C Kleih; Benjamin Blankertz; Andrea Kübler
Journal:  Front Hum Neurosci       Date:  2014-08-06       Impact factor: 3.169

Review 10.  Brain-computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum.

Authors:  Elisabeth V C Friedrich; Neil Suttie; Aparajithan Sivanathan; Theodore Lim; Sandy Louchart; Jaime A Pineda
Journal:  Front Neuroeng       Date:  2014-07-03
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