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Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2017
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Title
Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies
Published in
Frontiers in Computational Neuroscience, April 2017
DOI 10.3389/fncom.2017.00017
Pubmed ID
Authors

Alexander Reyes, Christopher M. Laine, Jason J. Kutch, Francisco J. Valero-Cuevas

Abstract

During force production, hand muscle activity is known to be coherent with activity in primary motor cortex, specifically in the beta-band (15-30 Hz) frequency range. It is not clear, however, if this coherence reflects the control strategy selected by the nervous system for a given task, or if it instead reflects an intrinsic property of cortico-spinal communication. Here, we measured corticomuscular and intermuscular coherence between muscles of index finger and thumb while a two-finger pinch grip of identical net force was applied to objects which were either stable (allowing synergistic activation of finger muscles) or unstable (requiring individuated finger control). We found that beta-band corticomuscular coherence with the first dorsal interosseous (FDI) and abductor pollicis brevis (APB) muscles, as well as their beta-band coherence with each other, was significantly reduced when individuated control of the thumb and index finger was required. We interpret these findings to show that beta-band coherence is reflective of a synergistic control strategy in which the cortex binds task-related motor neurons into functional units.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Student > Master 12 12%
Researcher 11 11%
Student > Bachelor 10 10%
Student > Doctoral Student 6 6%
Other 12 12%
Unknown 28 28%
Readers by discipline Count As %
Neuroscience 25 25%
Engineering 16 16%
Medicine and Dentistry 9 9%
Sports and Recreations 6 6%
Agricultural and Biological Sciences 3 3%
Other 10 10%
Unknown 32 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 July 2020.
All research outputs
#14,057,029
of 22,962,258 outputs
Outputs from Frontiers in Computational Neuroscience
#627
of 1,347 outputs
Outputs of similar age
#167,415
of 308,981 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#18
of 30 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 308,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.