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Finding an optimal rehabilitation paradigm after stroke: enhancing fiber growth and training of the brain at the right moment

Overview of attention for article published in Frontiers in Human Neuroscience, June 2014
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
video
1 YouTube creator

Citations

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91 Dimensions

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249 Mendeley
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Title
Finding an optimal rehabilitation paradigm after stroke: enhancing fiber growth and training of the brain at the right moment
Published in
Frontiers in Human Neuroscience, June 2014
DOI 10.3389/fnhum.2014.00381
Pubmed ID
Authors

Anna-Sophia Wahl, Martin E. Schwab

Abstract

After stroke the central nervous system reveals a spectrum of intrinsic capacities to react as a highly dynamic system which can change the properties of its circuits, form new contacts, erase others, and remap related cortical and spinal cord regions. This plasticity can lead to a surprising degree of spontaneous recovery. It includes the activation of neuronal molecular mechanisms of growth and of extrinsic growth promoting factors and guidance signals in the tissue. Rehabilitative training and pharmacological interventions may modify and boost these neuronal processes, but almost nothing is known on the optimal timing of the different processes and therapeutic interventions and on their detailed interactions. Finding optimal rehabilitation paradigms requires an optimal orchestration of the internal processes of re-organization and the therapeutic interventions in accordance with defined plastic time windows. In this review we summarize the mechanisms of spontaneous plasticity after stroke and experimental interventions to enhance growth and plasticity, with an emphasis on anti-Nogo-A immunotherapy. We highlight critical time windows of growth and of rehabilitative training and consider different approaches of combinatorial rehabilitative schedules. Finally, we discuss potential future strategies for designing repair and rehabilitation paradigms by introducing a "3 step model": determination of the metabolic and plastic status of the brain, pharmacological enhancement of its plastic mechanisms, and stabilization of newly formed functional connections by rehabilitative training.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 1%
United States 2 <1%
Germany 1 <1%
Brazil 1 <1%
Sweden 1 <1%
India 1 <1%
Netherlands 1 <1%
Taiwan 1 <1%
Italy 1 <1%
Other 2 <1%
Unknown 235 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 23%
Student > Master 33 13%
Researcher 32 13%
Student > Doctoral Student 23 9%
Student > Bachelor 23 9%
Other 40 16%
Unknown 40 16%
Readers by discipline Count As %
Neuroscience 63 25%
Medicine and Dentistry 54 22%
Agricultural and Biological Sciences 32 13%
Nursing and Health Professions 16 6%
Psychology 10 4%
Other 25 10%
Unknown 49 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 May 2018.
All research outputs
#2,728,385
of 23,073,835 outputs
Outputs from Frontiers in Human Neuroscience
#1,375
of 7,210 outputs
Outputs of similar age
#28,233
of 228,379 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#73
of 259 outputs
Altmetric has tracked 23,073,835 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 80% 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 228,379 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 87% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.