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Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury

Overview of attention for article published in Journal of Computational Neuroscience, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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Citations

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66 Mendeley
Title
Compromised axonal functionality after neurodegeneration, concussion and/or traumatic brain injury
Published in
Journal of Computational Neuroscience, June 2014
DOI 10.1007/s10827-014-0504-x
Pubmed ID
Authors

Pedro D. Maia, J. Nathan Kutz

Abstract

Axonal swellings are almost universal in neurodegenerative diseases of the central nervous system, including Alzheimer's and Parkinson's disease. Concussions and traumatic brain injuries can also produce cognitive and behavioral deficits by compromising neuronal morphology. Using a spike metric analysis, we characterize computationally the effects of such axonal varicosities on spike train propagation by comparing Poisson spike train classes before and after propagation through a prototypical axonal enlargement, or focused axonal swelling. Misclassification of spike train classes and low-pass filtering of firing rate activity increases with more pronounced axonal injury. We show that confusion matrices and a calculation of the loss of transmitted information provide a very practical way to characterize how injured neurons compromise the signal processing and faithful conductance of spike trains. The method demonstrates that (i) neural codes encoded with low firing rates are more robust to injury than those encoded with high firing rates, (ii) classification depends upon the length of the spike train used to encode information, and (iii) axonal injuries reduce the variance of spike trains within a given stimulus class. The work introduces a novel theoretical and computational framework to quantify the interplay between electrophysiological dynamics with focused axonal swellings generated by injury or other neurodegenerative processes. It further suggests how pharmacology and plasticity may play a role in recovery of neural computation. Ultimately, the work bridges vast experimental observations of in vitro morphological pathologies with post-traumatic cognitive and behavioral dysfunction.

X Demographics

X Demographics

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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 9 14%
Student > Doctoral Student 8 12%
Student > Master 8 12%
Student > Bachelor 7 11%
Other 11 17%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 14%
Medicine and Dentistry 8 12%
Engineering 8 12%
Neuroscience 6 9%
Psychology 4 6%
Other 17 26%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 September 2014.
All research outputs
#13,176,689
of 22,757,090 outputs
Outputs from Journal of Computational Neuroscience
#132
of 307 outputs
Outputs of similar age
#108,747
of 228,693 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 2 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 55% 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 228,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% 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. This one has scored higher than all of them