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Neurochemical changes underpinning the development of adjunct therapies in recovery after stroke: A role for GABA?

Overview of attention for article published in Journal of Cerebral Blood Flow & Metabolism, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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13 X users
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1 Facebook page

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100 Mendeley
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Article details
Title
Neurochemical changes underpinning the development of adjunct therapies in recovery after stroke: A role for GABA?
Published in
Journal of Cerebral Blood Flow & Metabolism, September 2017
DOI 10.1177/0271678x17727670
Pubmed ID
Authors
Abstract

Stroke is a leading cause of long-term disability, with around three-quarters of stroke survivors experiencing motor problems. Intensive physiotherapy is currently the most effective treatment for post-stroke motor deficits, but much recent research has been targeted at increasing the effects of the intervention by pairing it with a wide variety of adjunct therapies, all of which aim to increase cortical plasticity, and thereby hope to maximize functional outcome. Here, we review the literature describing neurochemical changes underlying plasticity induction following stroke. We discuss methods of assessing neurochemicals in humans, and how these measurements change post-stroke. Motor learning in healthy individuals has been suggested as a model for stroke plasticity, and we discuss the support for this model, and what evidence it provides for neurochemical changes. One converging hypothesis from animal, healthy and stroke studies is the importance of the regulation of the inhibitory neurotransmitter GABA for the induction of cortical plasticity. We discuss the evidence supporting this hypothesis, before finally summarizing the literature surrounding the use of adjunct therapies such as non-invasive brain stimulation and SSRIs in post-stroke motor recovery, both of which have been show to influence the GABAergic system.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Researcher 16 16%
Student > Bachelor 14 14%
Student > Master 12 12%
Student > Doctoral Student 8 8%
Other 14 14%
Unknown 20 20%
Readers by discipline
Readers by discipline Count As %
Neuroscience 28 28%
Medicine and Dentistry 15 15%
Nursing and Health Professions 5 5%
Psychology 5 5%
Agricultural and Biological Sciences 4 4%
Other 13 13%
Unknown 30 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 August 2019.
All research outputs
#3,984,681
of 26,868,950 outputs
Outputs from Journal of Cerebral Blood Flow & Metabolism
#554
of 3,464 outputs
Outputs of similar age
#64,776
of 329,918 outputs
Outputs of similar age from Journal of Cerebral Blood Flow & Metabolism
#10
of 64 outputs
Altmetric has tracked 26,868,950 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,464 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 84% 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 329,918 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 80% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.