Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Baker, Adam, Schranz, Christian, Seo, Na Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785064730555056128
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
work_keys_str_mv AT bakeradam associatingfunctionalneuralconnectivityandspecificaspectsofsensorimotorcontrolinchronicstroke
AT schranzchristian associatingfunctionalneuralconnectivityandspecificaspectsofsensorimotorcontrolinchronicstroke
AT seonajin associatingfunctionalneuralconnectivityandspecificaspectsofsensorimotorcontrolinchronicstroke