Corrigendum for Kishimoto et al., volume 130, 2021, p. 1352-1361.

Abstract

CorrigendumCorrigendum for Kishimoto et al., volume 130, 2021, p. 1352–1361Published Online:03 Feb 2022https://doi.org/10.1152/japplphysiol.00557.2020_COROriginal articleMoreSectionsPDF (689 KB)Download PDFDownload PDFPlus ToolsExport citationAdd to favoritesGet permissionsTrack citations ShareShare onFacebookTwitterLinkedInEmail Kishimoto KC, Héroux ME, Gandevia SC, Butler JE, Diong J. Estimation of maximal muscle electromyographic activity from the relationship between muscle activity and voluntary activation. J Appl Physiol (1985) 130: 1352–1361, 2021. First published February 18, 2021. doi.org/10.1152/japplphysiol.00557.2020.—In the original article, there was an error in the reported electromyography (EMG) amplitudes of Fig. 3, Fig. 5, Fig. 6, and Fig. 7 as published. EMG (mV) values were inadvertently reported at 30% of their true values. Additionally, there was an error in the estimates of the intercept of Table 1 as published. The revised figures with the corrected EMG amplitudes and Table 1 with the corrected model estimates appear below. Figure legends and Table 1 legend remain unchanged. In addition, the estimates of slopes (95% CI) of the models remain unchanged. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.Figure 3.Raw signals at all stages of data extraction from a single participant. A: rectified EMG over 50 ms prior to single-pulse stimulation for all trials at each % of MVC. B: evoked superimposed and resting twitches for all trials at each % of MVC. Twitches are offset vertically for clarity. C: superimposed twitch amplitude for each trial as plantarflexion torque increases. Colors in A, B, and C mark corresponding trials relative to labels in B. D: muscle activation as a function of voluntary torque. E: EMG activity in mV as a function of muscle activation. F: EMG activity in ln(mV) as a function of muscle activation. Muscle activity data (i.e. EMG) were loge-transformed prior to being analyzed with linear mixed models. EMG, electromyography; LG, lateral gastrocnemius; MG, medial gastrocnemius; SO, soleus.Download figureDownload PowerPointFigure 5.Individual participant data (gray lines, n = 25) for the relationship between EMG amplitude in mV and muscle activation for soleus (A), medial gastrocnemius (D), and lateral gastrocnemius (G), and between EMG amplitude in ln(mV) and muscle activation of the soleus (B), medial gastrocnemius (E), and lateral gastrocnemius (H) muscles. Linear mixed model estimates of loge-transformed EMG amplitude and muscle activation for soleus (C), medial gastrocnemius (F), and lateral gastrocnemius (I). Mean slopes (black lines), 95% confidence intervals about the means (dark gray shaded regions), and 95% prediction intervals about the means (mid-gray shaded regions) are shown. EMG, electromyography; LG, lateral gastrocnemius; MG, medial gastrocnemius; SO, soleus.Download figureDownload PowerPointFigure 6.Mean slope (black line), 95% confidence interval (dark gray shaded region), and 95% prediction interval about the mean slope (mid-gray shaded region) describing the relationship between soleus muscle activity and activation (n = 25). For an individual person, when muscle activity and activation can be measured (black circle), based on the mean estimate of the slope (dashed line), maximal muscle EMG can be estimated (gray dashed arrow). This method could be used to measure normalized EMG during passive movement of participants in a research laboratory. If only muscle activity can be measured (gray dotted line), based on the prediction interval, a range of plausible muscle activation values for a given amount of muscle EMG can be identified (gray dotted arrows). This approach could be used to measure muscle activation during passive movement of patients in clinical practice. EMG, electromyography; SO, soleus.Download figureDownload PowerPointFigure 7.Predicted versus observed EMG for soleus (SO; A), medial gastrocnemius (MG; B), and lateral gastrocnemius (LG; C). Data are plotted for all trials for all participants (n = 25), relative to the line of unity (black dashed). Predicted EMG activity was obtained using muscle activation and mean slopes and intercepts. EMG, electromyography.Download figureDownload PowerPointTable 1. Estimates and 95% confidence intervals (CIs) of slopes, intercepts, and intraclass correlation coefficients (ICCs) from linear mixed models relating muscle electromyographic activity and plantarflexor muscle activation for soleus, medial, and lateral gastrocnemius (n = 25)MuscleSlope (95% CI)[ln(mV)]Intercept (95% CI) [ln(mV)]ICC (95% CI)Snijders-Bosker R2Soleus0.027 (0.025 to 0.029)−4.11 (−4.28 to −3.94)0.52 (0.34 to 0.69)Level 1: 0.82 Level 2: 0.31Medial gastrocnemius0.025 (0.022 to 0.028)−4.31 (−4.47 to −4.14)0.70 (0.55 to 0.82)Level 1: 0.81 Level 2: 0.13Lateral gastrocnemius0.028 (0.026 to 0.030)−4.62 (−4.75 to −4.49)0.54 (0.36 to 0.70)Level 1: 0.87 Level 2: 0.47R2 coefficients of the amount of variability explained within-participants (level 1) and the amount of variability explained between-participants (level 2) calculated using the method proposed by Snijders and Bosker (28) are shown.This article has no references to display. Previous Back to Top Next FiguresReferencesRelatedInformationRelated articlesEstimation of maximal muscle electromyographic activity from the relationship between muscle activity and voluntary activation 02 May 2021Journal of Applied Physiology More from this issue > Volume 132Issue 2February 2022Pages 434-437 Crossmark Copyright & PermissionsCopyright © 2022 the American Physiological Society.https://doi.org/10.1152/japplphysiol.00557.2020_CORPubMed35112916History Published online 3 February 2022 Published in print 1 February 2022 PDF download Metrics Downloaded 125 times