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Use of diffusion spectrum imaging in preliminary longitudinal evaluation of amyotrophic lateral sclerosis: development of an imaging biomarker

Overview of attention for article published in Frontiers in Human Neuroscience, April 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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1 blog
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2 X users

Citations

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26 Dimensions

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45 Mendeley
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Title
Use of diffusion spectrum imaging in preliminary longitudinal evaluation of amyotrophic lateral sclerosis: development of an imaging biomarker
Published in
Frontiers in Human Neuroscience, April 2014
DOI 10.3389/fnhum.2014.00270
Pubmed ID
Authors

Kumar Abhinav, Fang-Cheng Yeh, Ahmed El-Dokla, Lisa M. Ferrando, Yue-Fang Chang, David Lacomis, Robert M. Friedlander, Juan C. Fernandez-Miranda

Abstract

Previous diffusion tensor imaging (DTI) studies have shown white matter pathology in amyotrophic lateral sclerosis (ALS), predominantly in the motor pathways. Further these studies have shown that DTI can be used longitudinally to track pathology over time, making white matter pathology a candidate as an outcome measure in future trials. DTI has demonstrated application in group studies, however its derived indices, for example fractional anisotropy, are susceptible to partial volume effects, making its role questionable in examining individual progression. We hypothesize that changes in the white matter are present in ALS beyond the motor tracts, and that the affected pathways and associated pattern of disease progression can be tracked longitudinally using automated diffusion connectometry analysis. Connectometry analysis is based on diffusion spectrum imaging and overcomes the limitations of a conventional tractography approach and DTI. The identified affected white matter tracts can then be assessed in a targeted fashion using High definition fiber tractography (a novel white matter MR imaging technique). Changes in quantitative and qualitative markers over time could then be correlated with clinical progression. We illustrate these principles toward developing an imaging biomarker for demonstrating individual progression, by presenting results for five ALS patients, including with longitudinal data in two. Preliminary analysis demonstrated a number of changes bilaterally and asymmetrically in motoric and extramotoric white matter pathways. Further the limbic system was also affected possibly explaining the cognitive symptoms in ALS. In the two longitudinal subjects, the white matter changes were less extensive at baseline, although there was evidence of disease progression in a frontal pattern with a relatively spared postcentral gyrus, consistent with the known pathology in ALS.

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

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Korea, Republic of 1 2%
Turkey 1 2%
Hong Kong 1 2%
United States 1 2%
Unknown 39 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Researcher 7 16%
Student > Ph. D. Student 7 16%
Student > Doctoral Student 5 11%
Student > Bachelor 3 7%
Other 4 9%
Unknown 11 24%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Neuroscience 9 20%
Psychology 4 9%
Computer Science 2 4%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 October 2015.
All research outputs
#3,695,843
of 22,757,541 outputs
Outputs from Frontiers in Human Neuroscience
#1,756
of 7,138 outputs
Outputs of similar age
#37,188
of 227,505 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#90
of 230 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 75% 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 227,505 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 83% of its contemporaries.
We're also able to compare this research output to 230 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 60% of its contemporaries.