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Diffusion tensor imaging in the characterization of multiple system atrophy

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2016
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2 tweeters

Citations

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24 Mendeley
Title
Diffusion tensor imaging in the characterization of multiple system atrophy
Published in
Neuropsychiatric Disease and Treatment, August 2016
DOI 10.2147/ndt.s109094
Pubmed ID
Authors

Aaron Rulseh, Jiri Keller, Jan Rusz, Michael Syka, Hana Brozova, Robert Rusina, Petra Havrankova, Katerina Zarubova, Hana Malikova, Robert Jech, Josef Vymazal

Abstract

Multiple system atrophy (MSA) is a rare neurodegenerative disease that remains poorly understood, and the diagnosis of MSA continues to be challenging. We endeavored to improve the diagnostic process and understanding of in vivo characteristics of MSA by diffusion tensor imaging (DTI). Twenty MSA subjects, ten parkinsonian dominant (MSA-P), ten cerebellar dominant (MSA-C), and 20 healthy volunteer subjects were recruited. Fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps were processed using tract-based spatial statistics. Diffusion data were additionally evaluated in the basal ganglia. A support vector machine was used to assess diagnostic utility, leave-one-out cross-validation in the evaluation of classification schemes, and receiver operating characteristic analyses to determine cutoff values. We detected widespread changes in the brain white matter of MSA subjects; however, no group-wise differences were found between MSA-C and MSA-P subgroups. Altered DTI metrics in the putamen and middle cerebellar peduncles were associated with a positive parkinsonian and cerebellar phenotype, respectively. Concerning clinical applicability, we achieved high classification performance on mean diffusivity data in the combined bilateral putamen and middle cerebellar peduncle (accuracy 90.3%±9%, sensitivity 86.5%±11%, and specificity 99.3%±4%). DTI in the middle cerebellar peduncle and putamen may be used in the diagnosis of MSA with a high degree of accuracy.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Student > Doctoral Student 4 17%
Student > Master 2 8%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Other 5 21%
Unknown 4 17%
Readers by discipline Count As %
Neuroscience 8 33%
Psychology 4 17%
Medicine and Dentistry 3 13%
Engineering 2 8%
Computer Science 1 4%
Other 2 8%
Unknown 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 August 2016.
All research outputs
#9,126,997
of 14,537,474 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,533
of 2,487 outputs
Outputs of similar age
#146,378
of 263,003 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#81
of 104 outputs
Altmetric has tracked 14,537,474 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,487 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 263,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.