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Utility of susceptibility-weighted imaging in Parkinson’s disease and atypical Parkinsonian disorders

Overview of attention for article published in Translational Neurodegeneration, October 2016
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Title
Utility of susceptibility-weighted imaging in Parkinson’s disease and atypical Parkinsonian disorders
Published in
Translational Neurodegeneration, October 2016
DOI 10.1186/s40035-016-0064-2
Pubmed ID
Authors

Zhibin Wang, Xiao-Guang Luo, Chao Gao

Abstract

In the clinic, the diagnosis of Parkinson's disease (PD) largely depends on clinicians' experience. When the diagnosis is made, approximately 80% of dopaminergic cells in the substantia nigra (SN) have been lost. Additionally, it is rather challenging to differentiate PD from atypical parkinsonian disorders (APD). Clinially-available 3T conventional MRI contributes little to solve these problems. The pathologic alterations of parkinsonism show abnormal brain iron deposition, and therefore susceptibility-weighted imaging (SWI), which is sensitive to iron concentration, has been applied to find iron-related lesions for the diagnosis and differentiation of PD in recent decades. Until now, the majority of research has revealed that in SWI the signal intensity changes in deep brain nuclei, such as the SN, the putamen (PUT), the globus pallidus (GP), the thalamus (TH), the red nucleus (RN) and the caudate nucleus (CN), thereby raising the possibility of early diagnosis and differentiation. Furthermore, the signal changes in SN, PUT and TH sub-regions may settle the issues with higher accuracy. In this article, we review the brain iron deposition of PD, MSA-P and PSP in SWI in the hope of exhibiting a profile of SWI features in PD, MSA and PSP and its clinical values.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 9 13%
Researcher 8 11%
Student > Bachelor 6 8%
Other 4 6%
Other 13 18%
Unknown 19 26%
Readers by discipline Count As %
Medicine and Dentistry 25 35%
Neuroscience 9 13%
Engineering 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 2 3%
Other 7 10%
Unknown 21 29%
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 24 March 2017.
All research outputs
#19,918,696
of 25,374,917 outputs
Outputs from Translational Neurodegeneration
#347
of 384 outputs
Outputs of similar age
#239,571
of 327,754 outputs
Outputs of similar age from Translational Neurodegeneration
#4
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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