Mandy E Parra1, Jonathan D Miller2, Adam J Sterczala3, Melani R Kelly4, Trent J Herda5. 1. School of Exercise and Sport Science, University of Mary Hardin-Baylor, Belton, TX, USA. 2. Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, Lawrence, KS, 66045, USA. 3. Neuromuscular Research Laboratory, Department of Sports Medicine and Nutrition, University of Pittsburg, Pittsburgh, PA, USA. 4. Human Performance Research Laboratory, Department of Exercise Science and Pre-Health Professions, Creighton University, Omaha, NE, USA. 5. Neuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, Lawrence, KS, 66045, USA. t.herda@ku.edu.
Abstract
PURPOSE: Changes in motor unit (MU) activity pre- to post-interventions is of high interest. However, there is minimal information regarding day-to-day changes or the reliability of measuring MU activity. This study examined the reliability of relationships calculated via the MU action potential (AP) trains derived from surface electromyography signal decomposition. A comparison between reliability statistics was made between MUAP trains verified with only the reconstruct-and-test versus verification including reconstruct-and-test with spike trigger average (STA) procedures. METHODS: Twenty-one individuals performed isometric muscle actions at 50% of maximal voluntary contraction of the first dorsal interosseous on two separate visits. MUs included for reliability analyses initially met the > 90% accuracy from the reconstruct-and-test. STA was applied as an additional exclusionary procedure. Linear regressions were applied to the firing rate and AP amplitude versus recruitment threshold relationships with and without MUs that met the STA criteria. Reliability statistics were also performed on relationships that met a strict range of recruitment thresholds. Reliability was established with intraclass correlation coefficients (ICC) along with other traditional parameters. RESULTS: The firing rate versus recruitment threshold relationships were reliable (ICC > 0.56) and improved (ICC > 0.84) when recruitment ranges were controlled. The slopes of the MUAP amplitude versus recruitment threshold relationships were reliable (ICC > 0.78) while the y-intercepts were reliable (ICC > 0.81) once corrections were made to combat negative scores. CONCLUSIONS: Electromyographic signal decomposition without the secondary STA verification procedures can be used to detect intervention-related changes in neural drive with confidence when recorded MU recruitment thresholds are similar across days.
PURPOSE: Changes in motor unit (MU) activity pre- to post-interventions is of high interest. However, there is minimal information regarding day-to-day changes or the reliability of measuring MU activity. This study examined the reliability of relationships calculated via the MU action potential (AP) trains derived from surface electromyography signal decomposition. A comparison between reliability statistics was made between MUAP trains verified with only the reconstruct-and-test versus verification including reconstruct-and-test with spike trigger average (STA) procedures. METHODS: Twenty-one individuals performed isometric muscle actions at 50% of maximal voluntary contraction of the first dorsal interosseous on two separate visits. MUs included for reliability analyses initially met the > 90% accuracy from the reconstruct-and-test. STA was applied as an additional exclusionary procedure. Linear regressions were applied to the firing rate and AP amplitude versus recruitment threshold relationships with and without MUs that met the STA criteria. Reliability statistics were also performed on relationships that met a strict range of recruitment thresholds. Reliability was established with intraclass correlation coefficients (ICC) along with other traditional parameters. RESULTS: The firing rate versus recruitment threshold relationships were reliable (ICC > 0.56) and improved (ICC > 0.84) when recruitment ranges were controlled. The slopes of the MUAP amplitude versus recruitment threshold relationships were reliable (ICC > 0.78) while the y-intercepts were reliable (ICC > 0.81) once corrections were made to combat negative scores. CONCLUSIONS: Electromyographic signal decomposition without the secondary STA verification procedures can be used to detect intervention-related changes in neural drive with confidence when recorded MU recruitment thresholds are similar across days.
Authors: Ryan J Colquhoun; Patrick M Tomko; Mitchel A Magrini; Tyler W D Muddle; Nathaniel D M Jenkins Journal: J Neurophysiol Date: 2018-10-24 Impact factor: 2.714
Authors: Hannah L Dimmick; Jonathan D Miller; Adam J Sterczala; Michael A Trevino; Trent J Herda Journal: Eur J Appl Physiol Date: 2018-06-11 Impact factor: 3.078
Authors: Jesus A Hernandez-Sarabia; Micheal J Luera; Alejandra Barrera-Curiel; Carlos A Estrada; Jason M DeFreitas Journal: Exp Brain Res Date: 2020-08-25 Impact factor: 1.972
Authors: Trent J Herda; Mandy E Parra; Jonathan D Miller; Adam J Sterczala; Melani R Kelly Journal: J Electromyogr Kinesiol Date: 2020-04-23 Impact factor: 2.368
Authors: Alex A Olmos; Trent J Herda; Stephanie A Sontag; Michael A Trevino Journal: J Musculoskelet Neuronal Interact Date: 2022-06-01 Impact factor: 1.864