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Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease

Overview of attention for article published in European Radiology, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet

Citations

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92 Mendeley
Title
Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease
Published in
European Radiology, October 2015
DOI 10.1007/s00330-015-4066-8
Pubmed ID
Authors

Koji Kamagata, Taku Hatano, Ayami Okuzumi, Yumiko Motoi, Osamu Abe, Keigo Shimoji, Kouhei Kamiya, Michimasa Suzuki, Masaaki Hori, Kanako K. Kumamaru, Nobutaka Hattori, Shigeki Aoki

Abstract

We used neurite orientation dispersion and density imaging (NODDI) to quantify changes in the substantia nigra pars compacta (SNpc) and striatum in Parkinson disease (PD). Diffusion-weighted magnetic resonance images were acquired from 58 PD patients and 36 age- and sex-matched controls. The intracellular volume fraction (Vic), orientation dispersion index (OD), and isotropic volume fraction (Viso) of the basal ganglia were compared between groups. Multivariate logistic regression analysis determined which diffusion parameters were independent predictors of PD. Receiver operating characteristic (ROC) analysis compared the diagnostic accuracies of the evaluated indices. Pearson coefficient analysis correlated each diffusional parameter with disease severity. Vic in the contralateral SNpc and putamen were significantly lower in PD patients than in healthy controls (P < 0.00058). Vic and OD in the SNpc and putamen showed significant negative correlations (P < 0.05) with disease severity. Multivariate logistic analysis revealed that Vic (P = 0.0000046) and mean diffusivity (P = 0.019) in the contralateral SNpc were the independent predictors of PD. In the ROC analysis, Vic in the contralateral SNpc showed the best diagnostic performance (mean cutoff, 0.62; sensitivity, 0.88; specificity, 0.83). NODDI is likely to be useful for diagnosing PD and assessing its progression. • Neurite orientation dispersion and density imaging (NODDI) is a new diffusion MRI technique • NODDI estimates neurite microstructure more specifically than diffusion tensor imaging • By using NODDI, nigrostriatal alterations in PD can be evaluated in vivo • NOODI is useful for diagnosing PD and assessing its disease progression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 23%
Student > Ph. D. Student 18 20%
Student > Master 9 10%
Student > Doctoral Student 8 9%
Other 5 5%
Other 11 12%
Unknown 20 22%
Readers by discipline Count As %
Neuroscience 20 22%
Medicine and Dentistry 15 16%
Agricultural and Biological Sciences 8 9%
Engineering 6 7%
Computer Science 5 5%
Other 11 12%
Unknown 27 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 November 2015.
All research outputs
#4,180,565
of 22,832,057 outputs
Outputs from European Radiology
#465
of 4,122 outputs
Outputs of similar age
#57,799
of 284,653 outputs
Outputs of similar age from European Radiology
#4
of 66 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,122 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 87% 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 284,653 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 78% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.