Literature DB >> 25703940

P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls.

Lynn M McCane1, Susan M Heckman2, Dennis J McFarland2, George Townsend2, Joseph N Mak2, Eric W Sellers2, Debra Zeitlin2, Laura M Tenteromano2, Jonathan R Wolpaw2, Theresa M Vaughan2.   

Abstract

OBJECTIVE: Brain-computer interfaces (BCIs) aimed at restoring communication to people with severe neuromuscular disabilities often use event-related potentials (ERPs) in scalp-recorded EEG activity. Up to the present, most research and development in this area has been done in the laboratory with young healthy control subjects. In order to facilitate the development of BCI most useful to people with disabilities, the present study set out to: (1) determine whether people with amyotrophic lateral sclerosis (ALS) and healthy, age-matched volunteers (HVs) differ in the speed and accuracy of their ERP-based BCI use; (2) compare the ERP characteristics of these two groups; and (3) identify ERP-related factors that might enable improvement in BCI performance for people with disabilities.
METHODS: Sixteen EEG channels were recorded while people with ALS or healthy age-matched volunteers (HVs) used a P300-based BCI. The subjects with ALS had little or no remaining useful motor control (mean ALS Functional Rating Scale-Revised 9.4 (±9.5SD) (range 0-25)). Each subject attended to a target item as the items in a 6×6 visual matrix flashed. The BCI used a stepwise linear discriminant function (SWLDA) to determine the item the user wished to select (i.e., the target item). Offline analyses assessed the latencies, amplitudes, and locations of ERPs to the target and non-target items for people with ALS and age-matched control subjects.
RESULTS: BCI accuracy and communication rate did not differ significantly between ALS users and HVs. Although ERP morphology was similar for the two groups, their target ERPs differed significantly in the location and amplitude of the late positivity (P300), the amplitude of the early negativity (N200), and the latency of the late negativity (LN).
CONCLUSIONS: The differences in target ERP components between people with ALS and age-matched HVs are consistent with the growing recognition that ALS may affect cortical function. The development of BCIs for use by this population may begin with studies in HVs but also needs to include studies in people with ALS. Their differences in ERP components may affect the selection of electrode montages, and might also affect the selection of presentation parameters (e.g., matrix design, stimulation rate). SIGNIFICANCE: P300-based BCI performance in people severely disabled by ALS is similar to that of age-matched control subjects. At the same time, their ERP components differ to some degree from those of controls. Attention to these differences could contribute to the development of BCIs useful to those with ALS and possibly to others with severe neuromuscular disabilities.
Copyright © 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Alternative and augmentative communication (AAC); Amyotrophic lateral sclerosis (ALS); Brain-computer interface (BCI); Brain-machine interface (BMI); Electroencephalography (EEG); Event-related potentials (ERP)

Mesh:

Year:  2015        PMID: 25703940      PMCID: PMC4529383          DOI: 10.1016/j.clinph.2015.01.013

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


  48 in total

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Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
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2.  Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

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Journal:  Clin Neurophysiol       Date:  2008-09-27       Impact factor: 3.708

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4.  Comparison of a row-column speller vs. a novel lateral single-character speller: assessment of BCI for severe motor disabled patients.

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Journal:  Clin Neurophysiol       Date:  2012-01-13       Impact factor: 3.708

5.  Letter: Decreased lacrimation in amyotrophic lateral sclerosis.

Authors:  R Copperman
Journal:  JAMA       Date:  1974-10-28       Impact factor: 56.272

6.  The effects of electrode impedance on data quality and statistical significance in ERP recordings.

Authors:  Emily S Kappenman; Steven J Luck
Journal:  Psychophysiology       Date:  2010-03-29       Impact factor: 4.016

7.  The P300-based brain-computer interface (BCI): effects of stimulus rate.

Authors:  Dennis J McFarland; William A Sarnacki; George Townsend; Theresa Vaughan; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2010-11-09       Impact factor: 3.708

8.  Prediction of auditory and visual p300 brain-computer interface aptitude.

Authors:  Sebastian Halder; Eva Maria Hammer; Sonja Claudia Kleih; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer; Andrea Kübler
Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

9.  Comparison of classification methods for P300 brain-computer interface on disabled subjects.

Authors:  Nikolay V Manyakov; Nikolay Chumerin; Adrien Combaz; Marc M Van Hulle
Journal:  Comput Intell Neurosci       Date:  2011-09-18

10.  Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state.

Authors:  Tobias Kaufmann; Elisa M Holz; Andrea Kübler
Journal:  Front Neurosci       Date:  2013-07-24       Impact factor: 4.677

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  31 in total

1.  Quantifying mode mixing and leakage in multivariate empirical mode decomposition and application in motor imagery-based brain-computer interface system.

Authors:  Yang Zheng; Guanghua Xu
Journal:  Med Biol Eng Comput       Date:  2019-02-09       Impact factor: 2.602

2.  High performance communication by people with paralysis using an intracortical brain-computer interface.

Authors:  Chethan Pandarinath; Paul Nuyujukian; Christine H Blabe; Brittany L Sorice; Jad Saab; Francis R Willett; Leigh R Hochberg; Krishna V Shenoy; Jaimie M Henderson
Journal:  Elife       Date:  2017-02-21       Impact factor: 8.140

3.  Experimental Set Up of P300 Based Brain Computer Interface Using a Bioamplifier and BCI2000 System for Patients with Spinal Cord Injury.

Authors:  Hyeongseok Jeon; Dong Ah Shin
Journal:  Korean J Spine       Date:  2015-09-30

4.  Analyzing text recognition from tactually evoked EEG.

Authors:  A Khasnobish; S Datta; R Bose; D N Tibarewala; A Konar
Journal:  Cogn Neurodyn       Date:  2017-09-06       Impact factor: 5.082

5.  An ERP-based BCI with peripheral stimuli: validation with ALS patients.

Authors:  Yangyang Miao; Erwei Yin; Brendan Z Allison; Yu Zhang; Yan Chen; Yi Dong; Xingyu Wang; Dewen Hu; Andrzej Chchocki; Jing Jin
Journal:  Cogn Neurodyn       Date:  2019-06-11       Impact factor: 5.082

Review 6.  Progress in Brain Computer Interface: Challenges and Opportunities.

Authors:  Simanto Saha; Khondaker A Mamun; Khawza Ahmed; Raqibul Mostafa; Ganesh R Naik; Sam Darvishi; Ahsan H Khandoker; Mathias Baumert
Journal:  Front Syst Neurosci       Date:  2021-02-25

7.  Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.

Authors:  Tomislav Milekovic; Anish A Sarma; Daniel Bacher; John D Simeral; Jad Saab; Chethan Pandarinath; Brittany L Sorice; Christine Blabe; Erin M Oakley; Kathryn R Tringale; Emad Eskandar; Sydney S Cash; Jaimie M Henderson; Krishna V Shenoy; John P Donoghue; Leigh R Hochberg
Journal:  J Neurophysiol       Date:  2018-04-25       Impact factor: 2.714

8.  An Evaluation of Training with an Auditory P300 Brain-Computer Interface for the Japanese Hiragana Syllabary.

Authors:  Sebastian Halder; Kouji Takano; Hiroki Ora; Akinari Onishi; Kota Utsumi; Kenji Kansaku
Journal:  Front Neurosci       Date:  2016-09-30       Impact factor: 4.677

9.  Brain-Computer Interface-Based Communication in the Completely Locked-In State.

Authors:  Ujwal Chaudhary; Bin Xia; Stefano Silvoni; Leonardo G Cohen; Niels Birbaumer
Journal:  PLoS Biol       Date:  2017-01-31       Impact factor: 8.029

10.  Operation of a P300-based brain-computer interface in patients with Duchenne muscular dystrophy.

Authors:  Kota Utsumi; Kouji Takano; Yoji Okahara; Tetsuo Komori; Osamu Onodera; Kenji Kansaku
Journal:  Sci Rep       Date:  2018-01-29       Impact factor: 4.379

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