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Influence of Corticospinal Tracts from Higher Order Motor Cortices on Recruitment Curve Properties in Stroke

Overview of attention for article published in Frontiers in Neuroscience, March 2016
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Title
Influence of Corticospinal Tracts from Higher Order Motor Cortices on Recruitment Curve Properties in Stroke
Published in
Frontiers in Neuroscience, March 2016
DOI 10.3389/fnins.2016.00079
Pubmed ID
Authors

Kelsey A. Potter-Baker, Nicole M. Varnerin, David A. Cunningham, Sarah M. Roelle, Vishwanath Sankarasubramanian, Corin E. Bonnett, Andre G. Machado, Adriana B. Conforto, Ken Sakaie, Ela B. Plow

Abstract

Recruitment curves (RCs) acquired using transcranial magnetic stimulation are commonly used in stroke to study physiologic functioning of corticospinal tracts (CST) from M1. However, it is unclear whether CSTs from higher motor cortices contribute as well. To explore whether integrity of CST from higher motor areas, besides M1, relates to CST functioning captured using RCs. RCs were acquired for a paretic hand muscle in patients with chronic stroke. Metrics describing gain and overall output of CST were collected. CST integrity was defined by diffusion tensor imaging. For CST emerging from M1 and higher motor areas, integrity (fractional anisotropy) was evaluated in the region of the posterior limb of the internal capsule, the length of CST and in the region of the stroke lesion. We found that output and gain of RC was related to integrity along the length of CST emerging from higher motor cortices but not the M1. Our results suggest that RC parameters in chronic stroke infer function primarily of CST descending from the higher motor areas but not M1. RCs may thus serve as a simple, in-expensive means to assess re-mapping of alternate areas that is generally studied with resource-intensive neuroimaging in stroke.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 25%
Student > Master 11 12%
Researcher 9 10%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 17 19%
Unknown 21 23%
Readers by discipline Count As %
Neuroscience 19 21%
Medicine and Dentistry 15 16%
Psychology 7 8%
Engineering 6 7%
Agricultural and Biological Sciences 5 5%
Other 13 14%
Unknown 26 29%
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 June 2016.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#8,668
of 11,538 outputs
Outputs of similar age
#217,492
of 313,887 outputs
Outputs of similar age from Frontiers in Neuroscience
#120
of 166 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.