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Dose-response relationships using brain–computer interface technology impact stroke rehabilitation

Brain–computer interfaces (BCIs) are an emerging novel technology for stroke rehabilitation. Little is known about how dose-response relationships for BCI therapies affect brain and behavior changes. We report preliminary results on stroke patients (n = 16, 11 M) with persistent upper extremity moto...

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Autores principales: Young, Brittany M., Nigogosyan, Zack, Walton, Léo M., Remsik, Alexander, Song, Jie, Nair, Veena A., Tyler, Mitchell E., Edwards, Dorothy F., Caldera, Kristin, Sattin, Justin A., Williams, Justin C., Prabhakaran, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477141/
https://www.ncbi.nlm.nih.gov/pubmed/26157378
http://dx.doi.org/10.3389/fnhum.2015.00361
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author Young, Brittany M.
Nigogosyan, Zack
Walton, Léo M.
Remsik, Alexander
Song, Jie
Nair, Veena A.
Tyler, Mitchell E.
Edwards, Dorothy F.
Caldera, Kristin
Sattin, Justin A.
Williams, Justin C.
Prabhakaran, Vivek
author_facet Young, Brittany M.
Nigogosyan, Zack
Walton, Léo M.
Remsik, Alexander
Song, Jie
Nair, Veena A.
Tyler, Mitchell E.
Edwards, Dorothy F.
Caldera, Kristin
Sattin, Justin A.
Williams, Justin C.
Prabhakaran, Vivek
author_sort Young, Brittany M.
collection PubMed
description Brain–computer interfaces (BCIs) are an emerging novel technology for stroke rehabilitation. Little is known about how dose-response relationships for BCI therapies affect brain and behavior changes. We report preliminary results on stroke patients (n = 16, 11 M) with persistent upper extremity motor impairment who received therapy using a BCI system with functional electrical stimulation of the hand and tongue stimulation. We collected MRI scans and behavioral data using the Action Research Arm Test (ARAT), 9-Hole Peg Test (9-HPT), and Stroke Impact Scale (SIS) before, during, and after the therapy period. Using anatomical and functional MRI, we computed Laterality Index (LI) for brain activity in the motor network during impaired hand finger tapping. Changes from baseline LI and behavioral scores were assessed for relationships with dose, intensity, and frequency of BCI therapy. We found that gains in SIS Strength were directly responsive to BCI therapy: therapy dose and intensity correlated positively with increased SIS Strength (p ≤ 0.05), although no direct relationships were identified with ARAT or 9-HPT scores. We found behavioral measures that were not directly sensitive to differences in BCI therapy administration but were associated with concurrent brain changes correlated with BCI therapy administration parameters: therapy dose and intensity showed significant (p ≤ 0.05) or trending (0.05 < p < 0.1) negative correlations with LI changes, while therapy frequency did not affect LI. Reductions in LI were then correlated (p ≤ 0.05) with increased SIS Activities of Daily Living scores and improved 9-HPT performance. Therefore, some behavioral changes may be reflected by brain changes sensitive to differences in BCI therapy administration, while others such as SIS Strength may be directly responsive to BCI therapy administration. Data preliminarily suggest that when using BCI in stroke rehabilitation, therapy frequency may be less important than dose and intensity.
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spelling pubmed-44771412015-07-08 Dose-response relationships using brain–computer interface technology impact stroke rehabilitation Young, Brittany M. Nigogosyan, Zack Walton, Léo M. Remsik, Alexander Song, Jie Nair, Veena A. Tyler, Mitchell E. Edwards, Dorothy F. Caldera, Kristin Sattin, Justin A. Williams, Justin C. Prabhakaran, Vivek Front Hum Neurosci Neuroscience Brain–computer interfaces (BCIs) are an emerging novel technology for stroke rehabilitation. Little is known about how dose-response relationships for BCI therapies affect brain and behavior changes. We report preliminary results on stroke patients (n = 16, 11 M) with persistent upper extremity motor impairment who received therapy using a BCI system with functional electrical stimulation of the hand and tongue stimulation. We collected MRI scans and behavioral data using the Action Research Arm Test (ARAT), 9-Hole Peg Test (9-HPT), and Stroke Impact Scale (SIS) before, during, and after the therapy period. Using anatomical and functional MRI, we computed Laterality Index (LI) for brain activity in the motor network during impaired hand finger tapping. Changes from baseline LI and behavioral scores were assessed for relationships with dose, intensity, and frequency of BCI therapy. We found that gains in SIS Strength were directly responsive to BCI therapy: therapy dose and intensity correlated positively with increased SIS Strength (p ≤ 0.05), although no direct relationships were identified with ARAT or 9-HPT scores. We found behavioral measures that were not directly sensitive to differences in BCI therapy administration but were associated with concurrent brain changes correlated with BCI therapy administration parameters: therapy dose and intensity showed significant (p ≤ 0.05) or trending (0.05 < p < 0.1) negative correlations with LI changes, while therapy frequency did not affect LI. Reductions in LI were then correlated (p ≤ 0.05) with increased SIS Activities of Daily Living scores and improved 9-HPT performance. Therefore, some behavioral changes may be reflected by brain changes sensitive to differences in BCI therapy administration, while others such as SIS Strength may be directly responsive to BCI therapy administration. Data preliminarily suggest that when using BCI in stroke rehabilitation, therapy frequency may be less important than dose and intensity. Frontiers Media S.A. 2015-06-23 /pmc/articles/PMC4477141/ /pubmed/26157378 http://dx.doi.org/10.3389/fnhum.2015.00361 Text en Copyright © 2015 Young, Nigogosyan, Walton, Remsik, Song, Nair, Tyler, Edwards, Caldera, Sattin, Williams and Prabhakaran. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Young, Brittany M.
Nigogosyan, Zack
Walton, Léo M.
Remsik, Alexander
Song, Jie
Nair, Veena A.
Tyler, Mitchell E.
Edwards, Dorothy F.
Caldera, Kristin
Sattin, Justin A.
Williams, Justin C.
Prabhakaran, Vivek
Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
title Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
title_full Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
title_fullStr Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
title_full_unstemmed Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
title_short Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
title_sort dose-response relationships using brain–computer interface technology impact stroke rehabilitation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477141/
https://www.ncbi.nlm.nih.gov/pubmed/26157378
http://dx.doi.org/10.3389/fnhum.2015.00361
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