Literature DB >> 20347387

A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns.

G Townsend1, B K LaPallo, C B Boulay, D J Krusienski, G E Frye, C K Hauser, N E Schwartz, T M Vaughan, J R Wolpaw, E W Sellers.   

Abstract

OBJECTIVE: An electroencephalographic brain-computer interface (BCI) can provide a non-muscular means of communication for people with amyotrophic lateral sclerosis (ALS) or other neuromuscular disorders. We present a novel P300-based BCI stimulus presentation - the checkerboard paradigm (CBP). CBP performance is compared to that of the standard row/column paradigm (RCP) introduced by Farwell and Donchin (1988).
METHODS: Using an 8x9 matrix of alphanumeric characters and keyboard commands, 18 participants used the CBP and RCP in counter-balanced fashion. With approximately 9-12 min of calibration data, we used a stepwise linear discriminant analysis for online classification of subsequent data.
RESULTS: Mean online accuracy was significantly higher for the CBP, 92%, than for the RCP, 77%. Correcting for extra selections due to errors, mean bit rate was also significantly higher for the CBP, 23 bits/min, than for the RCP, 17 bits/min. Moreover, the two paradigms produced significantly different waveforms. Initial tests with three advanced ALS participants produced similar results. Furthermore, these individuals preferred the CBP to the RCP.
CONCLUSIONS: These results suggest that the CBP is markedly superior to the RCP in performance and user acceptability. SIGNIFICANCE: The CBP has the potential to provide a substantially more effective BCI than the RCP. This is especially important for people with severe neuromuscular disabilities. Copyright 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20347387      PMCID: PMC2879474          DOI: 10.1016/j.clinph.2010.01.030

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  38 in total

1.  Brain-computer interface research at the Wadsworth Center.

Authors:  J R Wolpaw; D J McFarland; T M Vaughan
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

2.  The Eriksen flanker effect revisited.

Authors:  A F Sanders; J M Lamers
Journal:  Acta Psychol (Amst)       Date:  2002-01

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.  ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system.

Authors:  Brendan Z Allison; Jaime A Pineda
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

6.  BCI Competition 2003--Data set IIb: support vector machines for the P300 speller paradigm.

Authors:  Matthias Kaper; Peter Meinicke; Ulf Grossekathoefer; Thomas Lingner; Helge Ritter
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

7.  BCI2000: a general-purpose brain-computer interface (BCI) system.

Authors:  Gerwin Schalk; Dennis J McFarland; Thilo Hinterberger; Niels Birbaumer; Jonathan R Wolpaw
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

8.  The utility metric: a novel method to assess the overall performance of discrete brain-computer interfaces.

Authors:  Bernardo Dal Seno; Matteo Matteucci; Luca T Mainardi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-09-22       Impact factor: 3.802

9.  The effect of stimulus sequence on the waveform of the cortical event-related potential.

Authors:  K C Squires; C Wickens; N K Squires; E Donchin
Journal:  Science       Date:  1976-09-17       Impact factor: 47.728

10.  On quantifying surprise: the variation of event-related potentials with subjective probability.

Authors:  C C Duncan-Johnson; E Donchin
Journal:  Psychophysiology       Date:  1977-09       Impact factor: 4.016

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  114 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

Review 2.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

3.  Brain-computer interface: current and emerging rehabilitation applications.

Authors:  Janis J Daly; Jane E Huggins
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

4.  Effects of text generation on P300 brain-computer interface performance.

Authors:  Jane E Huggins; Ramses E Alcaide-Aguirre; Katya Hill
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-07-04

Review 5.  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

6.  Whether generic model works for rapid ERP-based BCI calibration.

Authors:  Jing Jin; Eric W Sellers; Yu Zhang; Ian Daly; Xingyu Wang; Andrzej Cichocki
Journal:  J Neurosci Methods       Date:  2012-09-29       Impact factor: 2.390

7.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

8.  Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Authors:  D B Ryan; G Townsend; N A Gates; K Colwell; E W Sellers
Journal:  Clin Neurophysiol       Date:  2017-08-08       Impact factor: 3.708

9.  Enhancing P300-BCI performance using latency estimation.

Authors:  Md Rakibul Mowla; Jane E Huggins; David E Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2017-06-28

10.  Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis.

Authors:  Lynn M McCane; Eric W Sellers; Dennis J McFarland; Joseph N Mak; C Steve Carmack; Debra Zeitlin; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-02-20       Impact factor: 4.092

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