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Extreme Levels of Noise Constitute a Key Neuromuscular Deficit in the Elderly

Overview of attention for article published in PLOS ONE, November 2012
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Title
Extreme Levels of Noise Constitute a Key Neuromuscular Deficit in the Elderly
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048449
Pubmed ID
Authors

Navrag B. Singh, Niklas König, Adamantios Arampatzis, Markus O. Heller, William R. Taylor

Abstract

Fluctuations during isometric force production tasks occur due to the inability of musculature to generate purely constant submaximal forces and are considered to be an estimation of neuromuscular noise. The human sensori-motor system regulates complex interactions between multiple afferent and efferent systems, which results in variability during functional task performance. Since muscles are the only active component of the motor system, it therefore seems reasonable that neuromuscular noise plays a key role in governing variability during both standing and walking. Seventy elderly women (including 34 fallers) performed multiple repetitions of isometric force production, quiet standing and walking tasks. No relationship between neuromuscular noise and functional task performance was observed in either the faller or the non-faller cohorts. When classified into groups with either nominal (group NOM, 25(th) -75(th) percentile) or extreme (either too high or too low, group EXT) levels of neuromuscular noise, group NOM demonstrated a clear association (r(2)>0.23, p<0.05) between neuromuscular noise and variability during task performance. On the other hand, group EXT demonstrated no such relationship, but also tended to walk slower, and had lower stride lengths, as well as lower isometric strength. These results suggest that neuromuscular noise is related to the quality of both static and dynamic functional task performance, but also that extreme levels of neuromuscular noise constitute a key neuromuscular deficit in the elderly.

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The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Germany 1 1%
Norway 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 14 21%
Researcher 9 13%
Student > Bachelor 6 9%
Professor 5 7%
Other 10 15%
Unknown 8 12%
Readers by discipline Count As %
Engineering 16 24%
Sports and Recreations 11 16%
Medicine and Dentistry 9 13%
Nursing and Health Professions 7 10%
Neuroscience 3 4%
Other 10 15%
Unknown 11 16%