Imperial College London

ProfessorDarioFarina

Faculty of EngineeringDepartment of Bioengineering

Chair in Neurorehabilitation Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1387d.farina Website

 
 
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Location

 

RSM 4.15Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dideriksen:2018:10.3389/fnhum.2018.00207,
author = {Dideriksen, JL and Negro, F and Falla, D and Kristensen, SR and Mrachacz-Kersting, N and Farina, D},
doi = {10.3389/fnhum.2018.00207},
journal = {Frontiers in Human Neuroscience},
title = {Coherence of the surface EMG and common synaptic input to motor neurons},
url = {http://dx.doi.org/10.3389/fnhum.2018.00207},
volume = {12},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Coherence between electromyographic (EMG) signals is often used to infer the common synaptic input to populations of motor neurons. This analysis, however, may be limited due to the filtering effect of the motor unit action potential waveforms. This study investigated the ability of surface EMG–EMG coherence to predict common synaptic input to motor neurons. Surface and intramuscular EMG were recorded from two locations of the tibialis anterior muscle during steady ankle dorsiflexions at 5 and 10% of the maximal force in 10 healthy individuals. The intramuscular EMG signals were decomposed to identify single motor unit spike trains. For each trial, the strength of the common input in different frequency bands was estimated from the coherence between two cumulative spike trains, generated from sets of single motor unit spike trains (reference measure). These coherence values were compared with those obtained from the coherence between the surface EMG signals (raw, rectified, and high-passed filtered at 250 Hz before rectification) using linear regression. Overall, the high-pass filtering of the EMG prior to rectification did not substantially change the results with respect to rectification only. For both signals, the correlation of EMG coherence with motor unit coherence was strong at 5% MVC (r2 > 0.8; p < 0.01), but only for frequencies > 5 Hz. At 10% MVC, the correlation between EMG and motor unit coherence was only significant for frequencies > 15 Hz (r2 > 0.8; p < 0.01). However, when using raw EMG for coherence analysis, the only significant relation with motor unit coherence was observed for the bandwidth 5–15 Hz (r2 > 0.68; p = 0.04). In all cases, there was no association between motor unit and EMG coherence for frequencies < 5 Hz (r2 ≤ 0.2; p ≥ 0.51). In addition, a substantial error in the best linear fit between motor unit and EMG coherence was always present. In conclusion, high-frequency (>5 Hz) common synapt
AU - Dideriksen,JL
AU - Negro,F
AU - Falla,D
AU - Kristensen,SR
AU - Mrachacz-Kersting,N
AU - Farina,D
DO - 10.3389/fnhum.2018.00207
PY - 2018///
SN - 1662-5161
TI - Coherence of the surface EMG and common synaptic input to motor neurons
T2 - Frontiers in Human Neuroscience
UR - http://dx.doi.org/10.3389/fnhum.2018.00207
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000434824500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/66866
VL - 12
ER -