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Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects

The temporal evolution of cortical activation and connectivity patterns during a fatiguing handgrip task were studied by functional near-infrared spectroscopy (fNIRS). Twenty-three young adults (18 to 35 years old) were recruited to use a handheld force sensor to perform intermittent handgrip contra...

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Autores principales: Urquhart, Elizabeth L., Wanniarachchi, Hashini I., Wang, Xinlong, Liu, Hanli, Fadel, Paul J., Alexandrakis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904890/
https://www.ncbi.nlm.nih.gov/pubmed/31853458
http://dx.doi.org/10.1117/1.NPh.6.4.045011
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author Urquhart, Elizabeth L.
Wanniarachchi, Hashini I.
Wang, Xinlong
Liu, Hanli
Fadel, Paul J.
Alexandrakis, George
author_facet Urquhart, Elizabeth L.
Wanniarachchi, Hashini I.
Wang, Xinlong
Liu, Hanli
Fadel, Paul J.
Alexandrakis, George
author_sort Urquhart, Elizabeth L.
collection PubMed
description The temporal evolution of cortical activation and connectivity patterns during a fatiguing handgrip task were studied by functional near-infrared spectroscopy (fNIRS). Twenty-three young adults (18 to 35 years old) were recruited to use a handheld force sensor to perform intermittent handgrip contractions with their dominant hand at their personal maximum voluntary contraction force level for 3.5 s followed by 6.5 s of rest for 120 blocks. Subjects were divided into self-reported physically active and inactive groups, and their hemodynamic activity over the prefrontal and sensory-motor cortices (111 channels) was mapped while they performed this task. Using this fNIRS setup, a more detailed time sequence of cortical activation and connectivity patterns was observed compared to prior studies. A temporal evolution sequence of hemodynamic activation patterns was noted, which was different between the active and the inactive groups. Physically active subjects demonstrated delayed fatigue onset and significantly longer-lasting and more spatially extended functional connectivity (FC) patterns, compared to inactive subjects. The observed differences in activation and FC suggested differences in cortical network adaptation patterns as fatigue set in, which were dependent on subjects’ physical activity. The findings of this study suggest that physical activity increases FC with regions involved in motor task control and correlates to extended fatigue onset and enhanced performance.
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spelling pubmed-69048902020-03-18 Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects Urquhart, Elizabeth L. Wanniarachchi, Hashini I. Wang, Xinlong Liu, Hanli Fadel, Paul J. Alexandrakis, George Neurophotonics Research Papers The temporal evolution of cortical activation and connectivity patterns during a fatiguing handgrip task were studied by functional near-infrared spectroscopy (fNIRS). Twenty-three young adults (18 to 35 years old) were recruited to use a handheld force sensor to perform intermittent handgrip contractions with their dominant hand at their personal maximum voluntary contraction force level for 3.5 s followed by 6.5 s of rest for 120 blocks. Subjects were divided into self-reported physically active and inactive groups, and their hemodynamic activity over the prefrontal and sensory-motor cortices (111 channels) was mapped while they performed this task. Using this fNIRS setup, a more detailed time sequence of cortical activation and connectivity patterns was observed compared to prior studies. A temporal evolution sequence of hemodynamic activation patterns was noted, which was different between the active and the inactive groups. Physically active subjects demonstrated delayed fatigue onset and significantly longer-lasting and more spatially extended functional connectivity (FC) patterns, compared to inactive subjects. The observed differences in activation and FC suggested differences in cortical network adaptation patterns as fatigue set in, which were dependent on subjects’ physical activity. The findings of this study suggest that physical activity increases FC with regions involved in motor task control and correlates to extended fatigue onset and enhanced performance. Society of Photo-Optical Instrumentation Engineers 2019-12-10 2019-10 /pmc/articles/PMC6904890/ /pubmed/31853458 http://dx.doi.org/10.1117/1.NPh.6.4.045011 Text en © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Research Papers
Urquhart, Elizabeth L.
Wanniarachchi, Hashini I.
Wang, Xinlong
Liu, Hanli
Fadel, Paul J.
Alexandrakis, George
Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
title Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
title_full Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
title_fullStr Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
title_full_unstemmed Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
title_short Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
title_sort mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904890/
https://www.ncbi.nlm.nih.gov/pubmed/31853458
http://dx.doi.org/10.1117/1.NPh.6.4.045011
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