Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach

Regional changes in muscle activation occur at different contraction intensities. These changes can be observed with activity maps created with high-density electromyography (HDEMG). When quantifying these changes, statistical parametric mapping (SPM) is a neuroimaging technique that may be used to...

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Main Authors: Patricio A. Pincheira, Eduardo Martinez-Valdes, Carlos De la Fuente, Felipe Palma, Oscar Valencia, Gunther Redenz, Rodrigo Guzman-Venegas
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/49/1/71
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spelling doaj-2aabb475c50c476dad9291098196d5092020-11-25T02:49:48ZengMDPI AGProceedings2504-39002020-06-0149717110.3390/proceedings2020049071Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping ApproachPatricio A. Pincheira0Eduardo Martinez-Valdes1Carlos De la Fuente2Felipe Palma3Oscar Valencia4Gunther Redenz5Rodrigo Guzman-Venegas6School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane 4067, AustraliaCentre of Precision Rehabilitation for Spinal Pain, University of Birmingham, Birmingham B152TT, UKSchool of Physiotherapy, Universidad de los Andes, Santiago 7550000, ChileSchool of Physiotherapy, Universidad de los Andes, Santiago 7550000, ChileSchool of Physiotherapy, Universidad de los Andes, Santiago 7550000, ChileSchool of Physiotherapy, Universidad de los Andes, Santiago 7550000, ChileSchool of Physiotherapy, Universidad de los Andes, Santiago 7550000, ChileRegional changes in muscle activation occur at different contraction intensities. These changes can be observed with activity maps created with high-density electromyography (HDEMG). When quantifying these changes, statistical parametric mapping (SPM) is a neuroimaging technique that may be used to perform statistical analyses with high sensitivity and spatial resolution. The aim of this study was to identify regional changes in muscle activation at different contraction intensities, comparing SPM and the HDEMG barycenter (centroid). Twelve participants performed plantar flexion isometric contractions at 20%, 40%, and 60% of the maximal voluntary contraction (MVC), while HDEMG was recorded from the medial gastrocnemius. An SPM repeated measures ANOVA design revealed specific mediolateral and cephalocaudal changes in muscle activation with increasing contraction intensities, which were not clearly detected by the variation in the barycenter coordinates. Only SPM revealed statistically significant nonuniform changes in EMG amplitude between all increasing levels of muscle activation.https://www.mdpi.com/2504-3900/49/1/71statistical parametric mappinghigh-density electromyographytopographical mapping
collection DOAJ
language English
format Article
sources DOAJ
author Patricio A. Pincheira
Eduardo Martinez-Valdes
Carlos De la Fuente
Felipe Palma
Oscar Valencia
Gunther Redenz
Rodrigo Guzman-Venegas
spellingShingle Patricio A. Pincheira
Eduardo Martinez-Valdes
Carlos De la Fuente
Felipe Palma
Oscar Valencia
Gunther Redenz
Rodrigo Guzman-Venegas
Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach
Proceedings
statistical parametric mapping
high-density electromyography
topographical mapping
author_facet Patricio A. Pincheira
Eduardo Martinez-Valdes
Carlos De la Fuente
Felipe Palma
Oscar Valencia
Gunther Redenz
Rodrigo Guzman-Venegas
author_sort Patricio A. Pincheira
title Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach
title_short Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach
title_full Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach
title_fullStr Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach
title_full_unstemmed Quantifying Topographical Changes in Muscle Activation: A Statistical Parametric Mapping Approach
title_sort quantifying topographical changes in muscle activation: a statistical parametric mapping approach
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2020-06-01
description Regional changes in muscle activation occur at different contraction intensities. These changes can be observed with activity maps created with high-density electromyography (HDEMG). When quantifying these changes, statistical parametric mapping (SPM) is a neuroimaging technique that may be used to perform statistical analyses with high sensitivity and spatial resolution. The aim of this study was to identify regional changes in muscle activation at different contraction intensities, comparing SPM and the HDEMG barycenter (centroid). Twelve participants performed plantar flexion isometric contractions at 20%, 40%, and 60% of the maximal voluntary contraction (MVC), while HDEMG was recorded from the medial gastrocnemius. An SPM repeated measures ANOVA design revealed specific mediolateral and cephalocaudal changes in muscle activation with increasing contraction intensities, which were not clearly detected by the variation in the barycenter coordinates. Only SPM revealed statistically significant nonuniform changes in EMG amplitude between all increasing levels of muscle activation.
topic statistical parametric mapping
high-density electromyography
topographical mapping
url https://www.mdpi.com/2504-3900/49/1/71
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