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Disease stage-dependent relationship between diffusion tensor imaging and electrophysiology of the visual system in a murine model of multiple sclerosis

Overview of attention for article published in Neuroradiology, August 2017
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Title
Disease stage-dependent relationship between diffusion tensor imaging and electrophysiology of the visual system in a murine model of multiple sclerosis
Published in
Neuroradiology, August 2017
DOI 10.1007/s00234-017-1904-1
Pubmed ID
Authors

Christopher Nishioka, Hsiao-Fang Liang, Chen-Fang Chung, Shu-Wei Sun

Abstract

Diffusion tensor imaging (DTI) is commonly used to evaluate white matter integrity in multiple sclerosis (MS), but the relationship between DTI measures and functional changes during disease remains ambiguous. Using a mouse model of MS, we tested the hypothesis that DTI measures would correlate to the visual evoked potential (VEPs) dynamically at different disease stages. In vivo DTI, gadolinium-enhanced T1WI (Gd-T1WI) and VEPs were performed in 5 control and 25 mice after 2-12 weeks of experimental autoimmune encephalomyelitis (EAE). DTI indices, including fractional anisotropy (FA), axial and radial diffusivities (AD and RD), and Gd-T1WI enhancement, were measured in the optic nerve and tract (ON and OT), which were compared with measured VEPs. Gd-T1WI showed a 3- to 4-fold enhancement over controls beginning after 2 weeks of EAE. Across the time course, we found progressive reductions in FA and increases in RD with increases in VEP latency and reductions in amplitude. Significant correlations between DTI (FA and RD) and VEP evolved; in control/early asymptomatic EAE mice, both FA and RD were highly correlated with VEP latency (but not amplitude), while in late EAE, both DTI indices were highly correlated with VEP amplitude (but not latency). DTI measures FA and RD are associated to VEP latency in early stages of EAE but associated to VEP amplitude in later stages, suggesting that the patterns of DTI related to the functional decline may depend on the stage of disease progression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Other 3 16%
Student > Doctoral Student 3 16%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 2 11%
Other 3 16%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Neuroscience 4 21%
Energy 2 11%
Social Sciences 2 11%
Environmental Science 1 5%
Other 2 11%
Unknown 3 16%
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 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Neuroradiology
#1,080
of 1,400 outputs
Outputs of similar age
#277,058
of 317,235 outputs
Outputs of similar age from Neuroradiology
#19
of 30 outputs
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