This study will develop an automatic system for decomposing the electromyographic signal into the constituent action potentials corresponding to the firing of individual motor units activated by motorneurons. The system will be an enhancement of a current system used over the past 20 years in many studies carried out by the Neuromuscular Research Lab at Boston University. Although the current system has been a valuable research tool, it has never been useful as a clinical tool due to limitations in processing time, accuracy and portability. Proposed enhancements will be introduced by redesigning the hardware and rewriting the decomposition software using a knowledge-based artificial intelligence language (IPUS), which has recently been developed by the team. As part of this application the enhanced system will be used in two laboratory studies and two clinical studies. The laboratory studies will investigate the modifications that occur in the firing of motor units as a function of ageing and will quantify the benefits that can be restored by exercise. The system will also be used to investigate the phenomena of motor unit substitution. The clinical studies will address the use of the device in quantifying the degree of denervation in paralyzed laryngeal muscles and in studying the effect of acute ataxia on the firing characteristics of the motorneurons in cerebellar stroke. As well as testing specific hypotheses, these studies will be used to test and improve the evolving design of the new decomposition system.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Resource-Related Research Projects (R24)
Project #
5R24HD038585-03
Application #
6536089
Study Section
Special Emphasis Panel (ZRG1-SSS-M (01))
Program Officer
Quatrano, Louis A
Project Start
2000-06-10
Project End
2005-05-31
Budget Start
2002-06-01
Budget End
2003-05-31
Support Year
3
Fiscal Year
2002
Total Cost
$622,485
Indirect Cost
Name
Boston University
Department
Type
Organized Research Units
DUNS #
042250712
City
Boston
State
MA
Country
United States
Zip Code
02215
De Luca, Carlo J; Gonzalez-Cueto, Jose A; Bonato, Paolo et al. (2009) Motor unit recruitment and proprioceptive feedback decrease the common drive. J Neurophysiol 101:1620-8
Contessa, Paola; Adam, Alexander; De Luca, Carlo J (2009) Motor unit control and force fluctuation during fatigue. J Appl Physiol 107:235-43
Lee, Jin; Adam, Alexander; De Luca, Carlo J (2008) A simulation study for a surface EMG sensor that detects distinguishable motor unit action potentials. J Neurosci Methods 168:54-63
De Luca, Carlo J; Adam, Alexander; Wotiz, Robert et al. (2006) Decomposition of surface EMG signals. J Neurophysiol 96:1646-57
Nawab, S Hamid; Wotiz, Robert P; De Luca, Carlo J (2006) Multi-receiver precision decomposition of intramuscular EMG signals. Conf Proc IEEE Eng Med Biol Soc 1:1252-5
Sauvage, Chloe; Manto, Mario; Adam, Alexander et al. (2006) Ordered motor-unit firing behavior in acute cerebellar stroke. J Neurophysiol 96:2769-74
Adam, Alexander; De Luca, Carlo J (2005) Firing rates of motor units in human vastus lateralis muscle during fatiguing isometric contractions. J Appl Physiol 99:268-80
Adam, Alexander; De Luca, Carlo J (2003) Recruitment order of motor units in human vastus lateralis muscle is maintained during fatiguing contractions. J Neurophysiol 90:2919-27
Roark, Rick M; Li, James C L; Schaefer, Steven D et al. (2002) Multiple motor unit recordings of laryngeal muscles: the technique of vector laryngeal electromyography. Laryngoscope 112:2196-203
De Luca, Carlo J; Erim, Zeynep (2002) Common drive in motor units of a synergistic muscle pair. J Neurophysiol 87:2200-4