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Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis

OBJECTIVE: We investigated the long-term functional stability and home use of a fully implanted electrocorticography (ECoG)-based brain-computer interface (BCI) for communication by an individual with late-stage Amyotrophic Lateral Sclerosis (ALS). METHODS: Data recorded from the cortical surface of...

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Autores principales: Pels, Elmar G.M., Aarnoutse, Erik J., Leinders, Sacha, Freudenburg, Zac V., Branco, Mariana P., van der Vijgh, Benny H., Snijders, Tom J., Denison, Timothy, Vansteensel, Mariska J., Ramsey, Nick F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880281/
https://www.ncbi.nlm.nih.gov/pubmed/31401488
http://dx.doi.org/10.1016/j.clinph.2019.07.020
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author Pels, Elmar G.M.
Aarnoutse, Erik J.
Leinders, Sacha
Freudenburg, Zac V.
Branco, Mariana P.
van der Vijgh, Benny H.
Snijders, Tom J.
Denison, Timothy
Vansteensel, Mariska J.
Ramsey, Nick F.
author_facet Pels, Elmar G.M.
Aarnoutse, Erik J.
Leinders, Sacha
Freudenburg, Zac V.
Branco, Mariana P.
van der Vijgh, Benny H.
Snijders, Tom J.
Denison, Timothy
Vansteensel, Mariska J.
Ramsey, Nick F.
author_sort Pels, Elmar G.M.
collection PubMed
description OBJECTIVE: We investigated the long-term functional stability and home use of a fully implanted electrocorticography (ECoG)-based brain-computer interface (BCI) for communication by an individual with late-stage Amyotrophic Lateral Sclerosis (ALS). METHODS: Data recorded from the cortical surface of the motor and prefrontal cortex with an implanted brain-computer interface device was evaluated for 36 months after implantation of the system in an individual with late-stage ALS. In addition, electrode impedance and BCI control accuracy were assessed. Key measures included frequency of use of the system for communication, user and system performance, and electrical signal characteristics. RESULTS: User performance was high consistently over the three years. Power in the high frequency band, used for the control signal, declined slowly in the motor cortex, but control over the signal remained unaffected by time. Impedance increased until month 5, and then remained constant. Frequency of home use increased steadily, indicating adoption of the system by the user. CONCLUSIONS: The implanted brain-computer interface proves to be robust in an individual with late-stage ALS, given stable performance and control signal for over 36 months. SIGNIFICANCE: These findings are relevant for the future of implantable brain-computer interfaces along with other brain-sensing technologies, such as responsive neurostimulation.
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spelling pubmed-68802812019-11-29 Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis Pels, Elmar G.M. Aarnoutse, Erik J. Leinders, Sacha Freudenburg, Zac V. Branco, Mariana P. van der Vijgh, Benny H. Snijders, Tom J. Denison, Timothy Vansteensel, Mariska J. Ramsey, Nick F. Clin Neurophysiol Article OBJECTIVE: We investigated the long-term functional stability and home use of a fully implanted electrocorticography (ECoG)-based brain-computer interface (BCI) for communication by an individual with late-stage Amyotrophic Lateral Sclerosis (ALS). METHODS: Data recorded from the cortical surface of the motor and prefrontal cortex with an implanted brain-computer interface device was evaluated for 36 months after implantation of the system in an individual with late-stage ALS. In addition, electrode impedance and BCI control accuracy were assessed. Key measures included frequency of use of the system for communication, user and system performance, and electrical signal characteristics. RESULTS: User performance was high consistently over the three years. Power in the high frequency band, used for the control signal, declined slowly in the motor cortex, but control over the signal remained unaffected by time. Impedance increased until month 5, and then remained constant. Frequency of home use increased steadily, indicating adoption of the system by the user. CONCLUSIONS: The implanted brain-computer interface proves to be robust in an individual with late-stage ALS, given stable performance and control signal for over 36 months. SIGNIFICANCE: These findings are relevant for the future of implantable brain-computer interfaces along with other brain-sensing technologies, such as responsive neurostimulation. Elsevier 2019-10 /pmc/articles/PMC6880281/ /pubmed/31401488 http://dx.doi.org/10.1016/j.clinph.2019.07.020 Text en © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Pels, Elmar G.M.
Aarnoutse, Erik J.
Leinders, Sacha
Freudenburg, Zac V.
Branco, Mariana P.
van der Vijgh, Benny H.
Snijders, Tom J.
Denison, Timothy
Vansteensel, Mariska J.
Ramsey, Nick F.
Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
title Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
title_full Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
title_fullStr Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
title_full_unstemmed Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
title_short Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
title_sort stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880281/
https://www.ncbi.nlm.nih.gov/pubmed/31401488
http://dx.doi.org/10.1016/j.clinph.2019.07.020
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