Literature DB >> 29318256

Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.

Jonathan S Brumberg1, Kevin M Pitt2, Alana Mantie-Kozlowski3, Jeremy D Burnison4.   

Abstract

Purpose: Brain-computer interfaces (BCIs) have the potential to improve communication for people who require but are unable to use traditional augmentative and alternative communication (AAC) devices. As BCIs move toward clinical practice, speech-language pathologists (SLPs) will need to consider their appropriateness for AAC intervention. Method: This tutorial provides a background on BCI approaches to provide AAC specialists foundational knowledge necessary for clinical application of BCI. Tutorial descriptions were generated based on a literature review of BCIs for restoring communication.
Results: The tutorial responses directly address 4 major areas of interest for SLPs who specialize in AAC: (a) the current state of BCI with emphasis on SLP scope of practice (including the subareas: the way in which individuals access AAC with BCI, the efficacy of BCI for AAC, and the effects of fatigue), (b) populations for whom BCI is best suited, (c) the future of BCI as an addition to AAC access strategies, and (d) limitations of BCI.
Conclusion: Current BCIs have been designed as access methods for AAC rather than a replacement; therefore, SLPs can use existing knowledge in AAC as a starting point for clinical application. Additional training is recommended to stay updated with rapid advances in BCI.

Entities:  

Mesh:

Year:  2018        PMID: 29318256      PMCID: PMC5968329          DOI: 10.1044/2017_AJSLP-16-0244

Source DB:  PubMed          Journal:  Am J Speech Lang Pathol        ISSN: 1058-0360            Impact factor:   2.408


  73 in total

1.  The five percent electrode system for high-resolution EEG and ERP measurements.

Authors:  R Oostenveld; P Praamstra
Journal:  Clin Neurophysiol       Date:  2001-04       Impact factor: 3.708

2.  The thought translation device (TTD) for completely paralyzed patients.

Authors:  N Birbaumer; A Kübler; N Ghanayim; T Hinterberger; J Perelmouter; J Kaiser; I Iversen; B Kotchoubey; N Neumann; H Flor
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

3.  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

4.  A practical, intuitive brain-computer interface for communicating 'yes' or 'no' by listening.

Authors:  N Jeremy Hill; Erin Ricci; Sameah Haider; Lynn M McCane; Susan Heckman; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  J Neural Eng       Date:  2014-05-19       Impact factor: 5.379

5.  Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.

Authors:  B O Mainsah; L M Collins; K A Colwell; E W Sellers; D B Ryan; K Caves; C S Throckmorton
Journal:  J Neural Eng       Date:  2015-01-14       Impact factor: 5.379

6.  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

7.  Towards a cure for BCI illiteracy.

Authors:  Carmen Vidaurre; Benjamin Blankertz
Journal:  Brain Topogr       Date:  2009-11-28       Impact factor: 3.020

8.  Toward a high-throughput auditory P300-based brain-computer interface.

Authors:  D S Klobassa; T M Vaughan; P Brunner; N E Schwartz; J R Wolpaw; C Neuper; E W Sellers
Journal:  Clin Neurophysiol       Date:  2009-07-01       Impact factor: 3.708

9.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

10.  Answering questions with an electroencephalogram-based brain-computer interface.

Authors:  L A Miner; D J McFarland; J R Wolpaw
Journal:  Arch Phys Med Rehabil       Date:  1998-09       Impact factor: 3.966

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  15 in total

Review 1.  Human visual skills for brain-computer interface use: a tutorial.

Authors:  Melanie Fried-Oken; Michelle Kinsella; Betts Peters; Brandon Eddy; Bruce Wojciechowski
Journal:  Disabil Rehabil Assist Technol       Date:  2020-06-01

2.  Motor-Induced Suppression of the N100 Event-Related Potential During Motor Imagery Control of a Speech Synthesizer Brain-Computer Interface.

Authors:  Jonathan S Brumberg; Kevin M Pitt
Journal:  J Speech Lang Hear Res       Date:  2019-07-15       Impact factor: 2.297

Review 3.  Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

4.  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

5.  Examining sensory ability, feature matching and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential.

Authors:  Jonathan S Brumberg; Anh Nguyen; Kevin M Pitt; Sean D Lorenz
Journal:  Disabil Rehabil Assist Technol       Date:  2018-01-31

6.  A Noninvasive Brain-Computer Interface for Real-Time Speech Synthesis: The Importance of Multimodal Feedback.

Authors:  Jonathan S Brumberg; Kevin M Pitt; Jeremy D Burnison
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-04       Impact factor: 3.802

7.  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

8.  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

9.  Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria.

Authors:  David A Moses; Sean L Metzger; Jessie R Liu; Gopala K Anumanchipalli; Joseph G Makin; Pengfei F Sun; Josh Chartier; Maximilian E Dougherty; Patricia M Liu; Gary M Abrams; Adelyn Tu-Chan; Karunesh Ganguly; Edward F Chang
Journal:  N Engl J Med       Date:  2021-07-15       Impact factor: 91.245

Review 10.  Mind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.

Authors:  Roberto Portillo-Lara; Bogachan Tahirbegi; Christopher A R Chapman; Josef A Goding; Rylie A Green
Journal:  APL Bioeng       Date:  2021-07-20
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