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Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke
Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural conn...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301091/ https://www.ncbi.nlm.nih.gov/pubmed/37420566 http://dx.doi.org/10.3390/s23125398 |
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author | Baker, Adam Schranz, Christian Seo, Na Jin |
author_facet | Baker, Adam Schranz, Christian Seo, Na Jin |
author_sort | Baker, Adam |
collection | PubMed |
description | Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural connectivity and specific aspects of sensorimotor control have seldom been explored. Understanding these relationships is important for developing personalized rehabilitation strategies to improve individual patients’ specific sensorimotor deficits and, thus, rehabilitation outcomes. Here, we investigated the hypothesis that specific aspects of sensorimotor control will be associated with distinct neural connectivity in chronic stroke survivors. Twelve chronic stroke survivors performed a paretic hand grip-and-relax task while EEG was collected. Four aspects of hand sensorimotor grip control were extracted, including reaction time, relaxation time, force magnitude control, and force direction control. EEG source connectivity in the bilateral sensorimotor regions was calculated in α and β frequency bands during grip preparation and execution. Each of the four hand grip measures was significantly associated with a distinct connectivity measure. These results support further investigations into functional neural connectivity signatures that explain various aspects of sensorimotor control, to assist the development of personalized rehabilitation that targets the specific brain networks responsible for the individuals’ distinct sensorimotor deficits. |
format | Online Article Text |
id | pubmed-10301091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103010912023-06-29 Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke Baker, Adam Schranz, Christian Seo, Na Jin Sensors (Basel) Article Hand sensorimotor deficits often result from stroke, limiting the ability to perform daily living activities. Sensorimotor deficits are heterogeneous among stroke survivors. Previous work suggests a cause of hand deficits is altered neural connectivity. However, the relationships between neural connectivity and specific aspects of sensorimotor control have seldom been explored. Understanding these relationships is important for developing personalized rehabilitation strategies to improve individual patients’ specific sensorimotor deficits and, thus, rehabilitation outcomes. Here, we investigated the hypothesis that specific aspects of sensorimotor control will be associated with distinct neural connectivity in chronic stroke survivors. Twelve chronic stroke survivors performed a paretic hand grip-and-relax task while EEG was collected. Four aspects of hand sensorimotor grip control were extracted, including reaction time, relaxation time, force magnitude control, and force direction control. EEG source connectivity in the bilateral sensorimotor regions was calculated in α and β frequency bands during grip preparation and execution. Each of the four hand grip measures was significantly associated with a distinct connectivity measure. These results support further investigations into functional neural connectivity signatures that explain various aspects of sensorimotor control, to assist the development of personalized rehabilitation that targets the specific brain networks responsible for the individuals’ distinct sensorimotor deficits. MDPI 2023-06-07 /pmc/articles/PMC10301091/ /pubmed/37420566 http://dx.doi.org/10.3390/s23125398 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Baker, Adam Schranz, Christian Seo, Na Jin Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
title | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
title_full | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
title_fullStr | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
title_full_unstemmed | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
title_short | Associating Functional Neural Connectivity and Specific Aspects of Sensorimotor Control in Chronic Stroke |
title_sort | associating functional neural connectivity and specific aspects of sensorimotor control in chronic stroke |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301091/ https://www.ncbi.nlm.nih.gov/pubmed/37420566 http://dx.doi.org/10.3390/s23125398 |
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