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Characterizing Brain Cortical Plasticity and Network Dynamics Across the Age-Span in Health and Disease with TMS-EEG and TMS-fMRI

Overview of attention for article published in Brain Topography, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 513)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

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2 X users
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2 patents
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7 Wikipedia pages
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1 Q&A thread

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615 Mendeley
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Title
Characterizing Brain Cortical Plasticity and Network Dynamics Across the Age-Span in Health and Disease with TMS-EEG and TMS-fMRI
Published in
Brain Topography, August 2011
DOI 10.1007/s10548-011-0196-8
Pubmed ID
Authors

Alvaro Pascual-Leone, Catarina Freitas, Lindsay Oberman, Jared C. Horvath, Mark Halko, Mark Eldaief, Shahid Bashir, Marine Vernet, Mouhshin Shafi, Brandon Westover, Andrew M. Vahabzadeh-Hagh, Alexander Rotenberg

Abstract

Brain plasticity can be conceptualized as nature's invention to overcome limitations of the genome and adapt to a rapidly changing environment. As such, plasticity is an intrinsic property of the brain across the lifespan. However, mechanisms of plasticity may vary with age. The combination of transcranial magnetic stimulation (TMS) with electroencephalography (EEG) or functional magnetic resonance imaging (fMRI) enables clinicians and researchers to directly study local and network cortical plasticity, in humans in vivo, and characterize their changes across the age-span. Parallel, translational studies in animals can provide mechanistic insights. Here, we argue that, for each individual, the efficiency of neuronal plasticity declines throughout the age-span and may do so more or less prominently depending on variable 'starting-points' and different 'slopes of change' defined by genetic, biological, and environmental factors. Furthermore, aberrant, excessive, insufficient, or mistimed plasticity may represent the proximal pathogenic cause of neurodevelopmental and neurodegenerative disorders such as autism spectrum disorders or Alzheimer's disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 615 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
Canada 2 <1%
Switzerland 2 <1%
Netherlands 2 <1%
Italy 2 <1%
France 1 <1%
Austria 1 <1%
Hungary 1 <1%
Sweden 1 <1%
Other 7 1%
Unknown 588 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 20%
Student > Master 89 14%
Researcher 86 14%
Student > Bachelor 58 9%
Student > Doctoral Student 36 6%
Other 115 19%
Unknown 108 18%
Readers by discipline Count As %
Neuroscience 105 17%
Psychology 102 17%
Medicine and Dentistry 93 15%
Agricultural and Biological Sciences 49 8%
Engineering 42 7%
Other 80 13%
Unknown 144 23%
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 22 November 2022.
All research outputs
#3,474,348
of 24,849,927 outputs
Outputs from Brain Topography
#40
of 513 outputs
Outputs of similar age
#16,862
of 124,837 outputs
Outputs of similar age from Brain Topography
#2
of 2 outputs
Altmetric has tracked 24,849,927 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 513 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 92% 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 124,837 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 86% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.