Many older adults are less steady when exerting low forces and lifting light loads. The greater fluctuations in force exhibited by older adults can be caused either by increased discharge rate variability or by altered amounts of correlated activity among the motor units. Based on prior experimental and computational studies, we hypothesize that the greater fluctuations experienced by older adults during voluntary contractions are due to direct and indirect effects of correlated motor unit discharge.
Aim 1 will extend our current model of the electromyogram (EMG) to simulate the reorganization of the neuromuscular system that occurs with advancing age. The simulations will assess the effect of cancellation of motor unit potentials on the amplitude of the surface EMG and will evaluate the validity of estimating common modulation of motor unit discharge from the EMG signal.
Aim 2 will evaluate the fluctuations in force and acceleration during isometric and anisometric contractions performed with the first dorsal interosseus muscle by young and old adults. The time- and frequency-domain characteristics will be compared with prior experimental measurements and modeling results for young adults.
Aim 3 will compare the contributions of the two candidate neural mechanisms (discharge rate variability and correlated discharge) to the differences between young and old adults in index finger acceleration when performing isometric and anisometric contractions with the first dorsal interosseus muscle.
Aim 4 will examine the role of coactivation at the level of the motor unit by measuring the amount and timing of correlated discharge between motor units in the agonist and antagonist muscles. These studies will provide novel information on the neural mechanisms that contribute to the reduced ability of older adults to perform steady contractions.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG009000-15
Application #
7569426
Study Section
Musculoskeletal Rehabilitation Sciences Study Section (MRS)
Program Officer
Chen, Wen G
Project Start
1990-08-01
Project End
2011-01-31
Budget Start
2009-04-01
Budget End
2011-01-31
Support Year
15
Fiscal Year
2009
Total Cost
$281,776
Indirect Cost
Name
University of Colorado at Boulder
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
007431505
City
Boulder
State
CO
Country
United States
Zip Code
80309
Pascoe, Michael A; Holmes, Matthew R; Stuart, Douglas G et al. (2014) Discharge characteristics of motor units during long-duration contractions. Exp Physiol 99:1387-98
Pascoe, Michael A; Gould, Jeffrey R; Enoka, Roger M (2013) Motor unit activity when young and old adults perform steady contractions while supporting an inertial load. J Neurophysiol 109:1055-64
Heckman, C J; Enoka, Roger M (2012) Motor unit. Compr Physiol 2:2629-82
Jesunathadas, Mark; Aidoor, Sameer S; Keenan, Kevin G et al. (2012) Influence of amplitude cancellation on the accuracy of determining the onset of muscle activity from the surface electromyogram. J Electromyogr Kinesiol 22:494-500
Marmon, Adam R; Pascoe, Michael A; Schwartz, Robert S et al. (2011) Associations among strength, steadiness, and hand function across the adult life span. Med Sci Sports Exerc 43:560-7
Duchateau, Jacques; Enoka, Roger M (2011) Human motor unit recordings: origins and insight into the integrated motor system. Brain Res 1409:42-61
Pascoe, Michael A; Holmes, Matthew R; Enoka, Roger M (2011) Discharge characteristics of biceps brachii motor units at recruitment when older adults sustained an isometric contraction. J Neurophysiol 105:571-81
Marmon, Adam R; Gould, Jeffrey R; Enoka, Roger M (2011) Practicing a functional task improves steadiness with hand muscles in older adults. Med Sci Sports Exerc 43:1531-7
Christou, Evangelos A; Enoka, Roger M (2011) Aging and movement errors when lifting and lowering light loads. Age (Dordr) 33:393-407
Farina, Dario; Holobar, Ales; Merletti, Roberto et al. (2010) Decoding the neural drive to muscles from the surface electromyogram. Clin Neurophysiol 121:1616-23

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