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

Despite partial success, communication has remained impossible for persons suffering from complete motor paralysis but intact cognitive and emotional processing, a state called complete locked-in state (CLIS). Based on a motor learning theoretical context and on the failure of neuroelectric brain-co...

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Main Authors: Ujwal Chaudhary, Bin Xia, Stefano Silvoni, Leonardo G Cohen, Niels Birbaumer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.1002593
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spelling doaj-716a9b7837ce405fb4556e655a4a5a6a2021-07-02T16:20:59ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852017-01-01151e100259310.1371/journal.pbio.1002593Brain-Computer Interface-Based Communication in the Completely Locked-In State.Ujwal ChaudharyBin XiaStefano SilvoniLeonardo G CohenNiels BirbaumerDespite partial success, communication has remained impossible for persons suffering from complete motor paralysis but intact cognitive and emotional processing, a state called complete locked-in state (CLIS). Based on a motor learning theoretical context and on the failure of neuroelectric brain-computer interface (BCI) communication attempts in CLIS, we here report BCI communication using functional near-infrared spectroscopy (fNIRS) and an implicit attentional processing procedure. Four patients suffering from advanced amyotrophic lateral sclerosis (ALS)-two of them in permanent CLIS and two entering the CLIS without reliable means of communication-learned to answer personal questions with known answers and open questions all requiring a "yes" or "no" thought using frontocentral oxygenation changes measured with fNIRS. Three patients completed more than 46 sessions spread over several weeks, and one patient (patient W) completed 20 sessions. Online fNIRS classification of personal questions with known answers and open questions using linear support vector machine (SVM) resulted in an above-chance-level correct response rate over 70%. Electroencephalographic oscillations and electrooculographic signals did not exceed the chance-level threshold for correct communication despite occasional differences between the physiological signals representing a "yes" or "no" response. However, electroencephalogram (EEG) changes in the theta-frequency band correlated with inferior communication performance, probably because of decreased vigilance and attention. If replicated with ALS patients in CLIS, these positive results could indicate the first step towards abolition of complete locked-in states, at least for ALS.https://doi.org/10.1371/journal.pbio.1002593
collection DOAJ
language English
format Article
sources DOAJ
author Ujwal Chaudhary
Bin Xia
Stefano Silvoni
Leonardo G Cohen
Niels Birbaumer
spellingShingle Ujwal Chaudhary
Bin Xia
Stefano Silvoni
Leonardo G Cohen
Niels Birbaumer
Brain-Computer Interface-Based Communication in the Completely Locked-In State.
PLoS Biology
author_facet Ujwal Chaudhary
Bin Xia
Stefano Silvoni
Leonardo G Cohen
Niels Birbaumer
author_sort Ujwal Chaudhary
title Brain-Computer Interface-Based Communication in the Completely Locked-In State.
title_short Brain-Computer Interface-Based Communication in the Completely Locked-In State.
title_full Brain-Computer Interface-Based Communication in the Completely Locked-In State.
title_fullStr Brain-Computer Interface-Based Communication in the Completely Locked-In State.
title_full_unstemmed Brain-Computer Interface-Based Communication in the Completely Locked-In State.
title_sort brain-computer interface-based communication in the completely locked-in state.
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2017-01-01
description Despite partial success, communication has remained impossible for persons suffering from complete motor paralysis but intact cognitive and emotional processing, a state called complete locked-in state (CLIS). Based on a motor learning theoretical context and on the failure of neuroelectric brain-computer interface (BCI) communication attempts in CLIS, we here report BCI communication using functional near-infrared spectroscopy (fNIRS) and an implicit attentional processing procedure. Four patients suffering from advanced amyotrophic lateral sclerosis (ALS)-two of them in permanent CLIS and two entering the CLIS without reliable means of communication-learned to answer personal questions with known answers and open questions all requiring a "yes" or "no" thought using frontocentral oxygenation changes measured with fNIRS. Three patients completed more than 46 sessions spread over several weeks, and one patient (patient W) completed 20 sessions. Online fNIRS classification of personal questions with known answers and open questions using linear support vector machine (SVM) resulted in an above-chance-level correct response rate over 70%. Electroencephalographic oscillations and electrooculographic signals did not exceed the chance-level threshold for correct communication despite occasional differences between the physiological signals representing a "yes" or "no" response. However, electroencephalogram (EEG) changes in the theta-frequency band correlated with inferior communication performance, probably because of decreased vigilance and attention. If replicated with ALS patients in CLIS, these positive results could indicate the first step towards abolition of complete locked-in states, at least for ALS.
url https://doi.org/10.1371/journal.pbio.1002593
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