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Active brain changes after initiating fingolimod therapy in multiple sclerosis patients using individual voxel-based analyses for diffusion tensor imaging

Overview of attention for article published in Nagoya journal of medical science, December 2016
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Title
Active brain changes after initiating fingolimod therapy in multiple sclerosis patients using individual voxel-based analyses for diffusion tensor imaging
Published in
Nagoya journal of medical science, December 2016
DOI 10.18999/nagjms.78.4.455
Pubmed ID
Authors

Joe Senda, Hirohisa Watanabe, Kuniyuki Endo, Keizo Yasui, Yasuhiro Hawsegawa, Noritaka Yoneyama, Takashi Tsuboi, Kazuhiro Hara, Mizuki Ito, Naoki Atsuta, Bagarinao Epifanio, Masahisa Katsuno, Shinji Naganawa, Gen Sobue

Abstract

Voxel-based analysis (VBA) of diffusion tensor images (DTI) and voxel-based morphometry (VBM) in patients with multiple sclerosis (MS) can sensitively detect occult tissue damage that underlies pathological changes in the brain. In the present study, both at the start of fingolimod and post-four months clinical remission, we assessed four patients with MS who were evaluated with VBA of DTI, VBM, and fluid-attenuated inversion recovery (FLAIR). DTI images for all four patients showed widespread areas of increased mean diffusivity (MD) and decreased fractional anisotropy (FA) that were beyond the high-intensity signal areas across images. After four months of continuous fingolimod therapy, DTI abnormalities progressed; in particular, MD was significantly increased, while brain volume and high-intensity signals were unchanged. These findings suggest that VBA of DTI (e.g., MD) may help assess MS demyelination as neuroinflammatory conditions, even though clinical manifestations of MS appear to be in complete remission during fingolimod.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 27%
Student > Master 3 20%
Researcher 2 13%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 6 40%
Nursing and Health Professions 2 13%
Business, Management and Accounting 1 7%
Neuroscience 1 7%
Engineering 1 7%
Other 0 0%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2016.
All research outputs
#16,784,715
of 25,461,852 outputs
Outputs from Nagoya journal of medical science
#65
of 191 outputs
Outputs of similar age
#250,435
of 416,990 outputs
Outputs of similar age from Nagoya journal of medical science
#3
of 5 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 63% 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 416,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.