Spatial characterization of innervation zones under electrically elicited M-wave

The three dimensional (3D) innervation zone (IZ) imaging approach (3DIZI) has been developed in our group to localize the IZ of a particular motor unit (MU) from its motor unit action potentials decomposed from high-density surface electromyography (EMG) recordings. In this study, the developed 3DIZI approach was combined with electrical stimulation to investigate global distributions of IZs in muscles from electrically elicited M-wave recordings. Electrical stimulations were applied to the musculocutaneous nerve to activate supramaximal muscle response of the biceps brachii in one healthy subject, and high-density (128 channels) surface EMG signals of the biceps brachii muscles were recorded. The 3DIZI approach was then employed to image the IZ distribution of IZs in the 3D space of the biceps brachii. The performance of the M-wave based 3DIZI approach was evaluated with different stimulation intensities. Results show that the reconstructed IZs under supramaximal stimulation are spatially distributed in the center region of muscle belly which is consistent with previous studies. With sub-maximal stimulation intensity, the imaged IZ centers became more proximally and deeply located. The proposed M-wave based 3DIZI approach demonstrated its capability of imaging global distribution of IZs in muscles, which provide valuable information for clinical applications such as guiding botulinum toxin injection in treating muscle spasticity.

[1]  Bin He,et al.  Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings , 2008, NeuroImage.

[2]  Alberto Rainoldi,et al.  Innervation zone locations in 43 superficial muscles: Toward a standardization of electrode positioning , 2014, Muscle & nerve.

[3]  William Z Rymer,et al.  Suppression of stimulus artifact contaminating electrically evoked electromyography. , 2014, NeuroRehabilitation.

[4]  Ping Zhou,et al.  Activation deficit correlates with weakness in chronic stroke: Evidence from evoked and voluntary EMG recordings , 2014, Clinical Neurophysiology.

[5]  Yingchun Zhang,et al.  Improving the repeatability of Motor Unit Number Index (MUNIX) by introducing additional epochs at low contraction levels , 2017, Clinical Neurophysiology.

[6]  Rodrigo A Guzmán-Venegas,et al.  Differences between motor point and innervation zone locations in the biceps brachii. An exploratory consideration for the treatment of spasticity with botulinum toxin. , 2014, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[7]  E.F. LoPresti,et al.  Identifying significant frequencies in surface EMG signals for localization of neuromuscular activity , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[8]  Jeremy M. Shefner,et al.  Motor unit number estimation in human neurological diseases and animal models , 2001, Clinical Neurophysiology.

[9]  C P Panayiotopoulos,et al.  F‐ and M‐wave conduction velocity in amyotrophic lateral sclerosis , 1978, Muscle & nerve.

[10]  Axel T Brunger,et al.  New insights into clostridial neurotoxin-SNARE interactions. , 2005, Trends in molecular medicine.

[11]  P. Komi,et al.  Innervation zone shift at different levels of isometric contraction in the biceps brachii muscle. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[12]  Bart Vanrumste,et al.  Journal of Neuroengineering and Rehabilitation Open Access Review on Solving the Inverse Problem in Eeg Source Analysis , 2022 .

[13]  Yingchun Zhang,et al.  Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings , 2015, Int. J. Neural Syst..

[14]  Todd A. Kuiken,et al.  A multiple-layer finite-element model of the surface EMG signal , 2002, IEEE Transactions on Biomedical Engineering.

[15]  R. Barbano,et al.  Needle EMG guidance is useful , 2001 .

[16]  Lei Ding,et al.  A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method , 2006, NeuroImage.

[17]  David M Simpson,et al.  Anatomical Localization of Motor Endplate Bands in the Human Biceps Brachii , 2007, Journal of clinical neuromuscular disease.

[18]  D. Pai,et al.  Computed myography : three-dimensional reconstruction of motor functions from surface EMG data , 2008 .