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Common muscle synergies for balance and walking

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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2 news outlets
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11 X users
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8 Facebook pages

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461 Mendeley
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Title
Common muscle synergies for balance and walking
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00048
Pubmed ID
Authors

Stacie A. Chvatal, Lena H. Ting

Abstract

Little is known about the integration of neural mechanisms for balance and locomotion. Muscle synergies have been studied independently in standing balance and walking, but not compared. Here, we hypothesized that reactive balance and walking are mediated by a common set of lower-limb muscle synergies. In humans, we examined muscle activity during multidirectional support-surface perturbations during standing and walking, as well as unperturbed walking at two speeds. We show that most muscle synergies used in perturbations responses during standing were also used in perturbation responses during walking, suggesting common neural mechanisms for reactive balance across different contexts. We also show that most muscle synergies using in reactive balance were also used during unperturbed walking, suggesting that neural circuits mediating locomotion and reactive balance recruit a common set of muscle synergies to achieve task-level goals. Differences in muscle synergies across conditions reflected differences in the biomechanical demands of the tasks. For example, muscle synergies specific to walking perturbations may reflect biomechanical challenges associated with single limb stance, and muscle synergies used during sagittal balance recovery in standing but not walking were consistent with maintaining the different desired center of mass motions in standing vs. walking. Thus, muscle synergies specifying spatial organization of muscle activation patterns may define a repertoire of biomechanical subtasks available to different neural circuits governing walking and reactive balance and may be recruited based on task-level goals. Muscle synergy analysis may aid in dissociating deficits in spatial vs. temporal organization of muscle activity in motor deficits. Muscle synergy analysis may also provide a more generalizable assessment of motor function by identifying whether common modular mechanisms are impaired across the performance of multiple motor tasks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 461 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Germany 3 <1%
Spain 2 <1%
Brazil 2 <1%
Japan 2 <1%
Austria 1 <1%
Sweden 1 <1%
Denmark 1 <1%
Portugal 1 <1%
Other 2 <1%
Unknown 442 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 95 21%
Student > Master 69 15%
Researcher 67 15%
Student > Bachelor 42 9%
Student > Doctoral Student 29 6%
Other 75 16%
Unknown 84 18%
Readers by discipline Count As %
Engineering 121 26%
Neuroscience 66 14%
Medicine and Dentistry 56 12%
Sports and Recreations 36 8%
Agricultural and Biological Sciences 29 6%
Other 42 9%
Unknown 111 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 20 June 2013.
All research outputs
#1,448,792
of 24,542,484 outputs
Outputs from Frontiers in Computational Neuroscience
#56
of 1,421 outputs
Outputs of similar age
#13,012
of 290,392 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 134 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,421 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 96% 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 290,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.