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Action Direction of Muscle Synergies in Three-Dimensional Force Space

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, November 2015
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Title
Action Direction of Muscle Synergies in Three-Dimensional Force Space
Published in
Frontiers in Bioengineering and Biotechnology, November 2015
DOI 10.3389/fbioe.2015.00187
Pubmed ID
Authors

Shota Hagio, Motoki Kouzaki

Abstract

Redundancy in the musculoskeletal system was supposed to be simplified by muscle synergies, which modularly organize muscles. To clarify the underlying mechanisms of motor control using muscle synergies, it is important to examine the spatiotemporal contribution of muscle synergies in the task space. In this study, we quantified the mechanical contribution of muscle synergies as considering spatiotemporal correlation between the activation of muscle synergies and endpoint force fluctuations. Subjects performed isometric force generation in the three-dimensional force space. The muscle-weighting vectors of muscle synergies and their activation traces across different trials were extracted from electromyogram data using decomposing technique. We then estimated mechanical contribution of muscle synergies across each trial based on cross-correlation analysis. The contributing vectors were averaged for all trials, and the averaging was defined as action direction (AD) of muscle synergies. As a result, we extracted approximately five muscle synergies. The ADs of muscle synergies mainly depended on the anatomical functions of their weighting muscles. Furthermore, the AD of each muscle indicated the synchronous activation of muscles, which composed of the same muscle synergy. These results provide the spatiotemporal characteristics of muscle synergies as neural basis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Master 8 21%
Researcher 7 18%
Student > Doctoral Student 4 10%
Student > Bachelor 3 8%
Other 4 10%
Unknown 4 10%
Readers by discipline Count As %
Engineering 8 21%
Neuroscience 6 15%
Nursing and Health Professions 5 13%
Sports and Recreations 5 13%
Medicine and Dentistry 3 8%
Other 5 13%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 November 2015.
All research outputs
#18,430,119
of 22,832,057 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,398
of 6,565 outputs
Outputs of similar age
#202,372
of 281,840 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#34
of 55 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,565 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.