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Elderly Use Proprioception Rather than Visual and Vestibular Cues for Postural Motor Control

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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Citations

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218 Mendeley
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Title
Elderly Use Proprioception Rather than Visual and Vestibular Cues for Postural Motor Control
Published in
Frontiers in Aging Neuroscience, June 2015
DOI 10.3389/fnagi.2015.00097
Pubmed ID
Authors

Isabella Katharina Wiesmeier, Daniela Dalin, Christoph Maurer

Abstract

Multiple factors have been proposed to contribute to the deficits of postural control in the elderly. They were summarized as sensory, motor, and higher-level adaptation deficits. Using a model-based approach, we aimed to identify which of these deficits mainly determine age-related changes in postural control. We analyzed postural control of 20 healthy elderly people with a mean age of 74 years. The findings were compared to data from 19 healthy young volunteers (mean age 28 years) and 16 healthy middle-aged volunteers (mean age 48 years). Postural control was characterized by spontaneous sway measures and measures of perturbed stance. Perturbations were induced by pseudorandom anterior-posterior tilts of the body support surface. We found that spontaneous sway amplitude and velocity were significantly larger, and sway frequencies were higher in elderly compared to young people. Body excursions as a function of tilt stimuli were clearly different in elderly compared to young people. Based on simple feedback model simulations, we found that elderly favor proprioceptive over visual and vestibular cues, other than younger subjects do. Moreover, we identified an increase in overall time delay challenging the feedback systems stability, and a decline in the amplitude of the motor feedback, probably representing weakness of the motor system. In general, these parameter differences between young and old may result from both deficits and compensation strategies in the elderly. Our model-based findings correlate well with deficits measured with clinical balance scores, which are widely used in clinical practice.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 215 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 22%
Student > Master 30 14%
Researcher 25 11%
Student > Doctoral Student 21 10%
Student > Bachelor 16 7%
Other 44 20%
Unknown 35 16%
Readers by discipline Count As %
Neuroscience 31 14%
Sports and Recreations 26 12%
Medicine and Dentistry 25 11%
Engineering 20 9%
Nursing and Health Professions 18 8%
Other 45 21%
Unknown 53 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2022.
All research outputs
#2,017,986
of 23,299,593 outputs
Outputs from Frontiers in Aging Neuroscience
#581
of 4,937 outputs
Outputs of similar age
#26,781
of 264,996 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#10
of 62 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,996 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.