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Injuries of neural tracts in a patient with CADASIL: a diffusion tensor imaging study

Overview of attention for article published in BMC Neurology, September 2015
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Title
Injuries of neural tracts in a patient with CADASIL: a diffusion tensor imaging study
Published in
BMC Neurology, September 2015
DOI 10.1186/s12883-015-0434-x
Pubmed ID
Authors

Sung Ho Jang, You Sung Seo

Abstract

We report a patient with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), who showed injuries of the neural tracts, which was demonstrated by diffusion tensor tractography (DTT). A 64-year-old male patient and seven age-matched control volunteers were recruited. Since approximately 1.5 years ago, he had felt mild weakness of the right arm and was diagnosed as CADASIL by the finding of the exon 11 mutation of the NOTCH3 gene approximately 10 months ago. T2-weighted and FLAIR brain MRI images obtained at admission showed high signal intensity lesions in the subcortical gray matter and periventricular white matter. He showed mild quadriparesis, mild dysarthria, mild cognitive impairment, and emotional problems. Diffusion tensor imaging was performed and nine neural tracts (corticospinal tract, corticobulbar tract, corticofugal tract from the supplementary motor area, corticofugal tract from the premotor cortex, thalmoprefrontal tract [TPT] to the dorsolateral prefrontal cortex, TPT to the ventrolateral prefrontal cortex, TPT to the orbitoprefrontal cortex, fornix, and cingulum) were reconstructed. Fractional anisotropy (FA), mean diffusivity (MD), and tract volume of each neural tract were measured. All neural tracts except for the left fornix showed at least one more abnormality in terms of DTT parameters (decrement of FA, increment of MD, or decrement of tract volume). We demonstrated injuries of the neural tracts in a patient with CADASIL. It appears that clinical manifestations in this patient were related to injuries of the neural tracts.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Researcher 5 13%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Other 3 8%
Other 4 10%
Unknown 13 33%
Readers by discipline Count As %
Neuroscience 5 13%
Nursing and Health Professions 5 13%
Psychology 4 10%
Medicine and Dentistry 4 10%
Engineering 2 5%
Other 5 13%
Unknown 15 38%
Attention Score in Context

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 26 May 2016.
All research outputs
#15,347,611
of 22,829,083 outputs
Outputs from BMC Neurology
#1,481
of 2,435 outputs
Outputs of similar age
#160,613
of 274,283 outputs
Outputs of similar age from BMC Neurology
#43
of 71 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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