A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging - Simulations and Experimental Tests

Robin Rohlen, Erik Stalberg, Karen Helene Stoverud, Jun Yu, Christer Gronlund

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

The central nervous system coordinates movement through forces generated by motor units (MUs) in skeletal muscles. To analyze MUs function is essential in sports, rehabilitation medicine applications, and neuromuscular diagnostics. The MUs and their function are studied using electromyography. Typically, these methods study only a small muscle volume (1 mm3) or only a superficial (<1 cm) volume of the muscle. Here we introduce a method to identify so-called mechanical units, i.e., the mechanical response of electrically active MUs, in the whole muscle ( $4\times 4$ cm, cross-sectional) under voluntary contractions by ultrafast ultrasound imaging and spatiotemporal decomposition. We evaluate the performance of the method by simulation of active MUs' mechanical response under weak contractions. We further test the experimental feasibility on eight healthy subjects. We show the existence of mechanical units that contribute to the tissue dynamics in the biceps brachii at low force levels and that these units are similar to MUs described by electromyography with respect to the number of units, territory sizes, and firing rates. This study introduces a new potential neuromuscular functional imaging method, which could be used to study a variety of questions on muscle physiology that previously were difficult or not possible to address.

Originalspråkengelska
Artikelnummer9032320
Sidor (från-till)50299-50311
Antal sidor13
TidskriftIEEE Access
Volym8
DOI
StatusPublished - 2020
Externt publiceradJa

Bibliografisk information

Funding Information:
This work was supported in part by the Swedish Research Council under Grant dnr 2015-04461, and in part by the Kempe foundations under Grant dnr JCK-1115.

Publisher Copyright:
© 2013 IEEE.

Ämnesklassifikation (UKÄ)

  • Fysiologi och anatomi

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