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Characterizing Microstructural Tissue Properties in Multiple Sclerosis with Diffusion MRI at 7 T and 3 T: The Impact of the Experimental Design

Overview of attention for article published in Neuroscience, April 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Characterizing Microstructural Tissue Properties in Multiple Sclerosis with Diffusion MRI at 7 T and 3 T: The Impact of the Experimental Design
Published in
Neuroscience, April 2018
DOI 10.1016/j.neuroscience.2018.03.048
Pubmed ID
Authors

Silvia De Santis, Matteo Bastiani, Amgad Droby, Pierre Kolber, Frauke Zipp, Eberhard Pracht, Tony Stoecker, Sergiu Groppa, Alard Roebroeck

Abstract

The recent introduction of advanced magnetic resonance (MR) imaging techniques to characterize focal and global degeneration in multiple sclerosis (MS), like the Composite Hindered and Restricted Model of Diffusion, or CHARMED, diffusional kurtosis imaging (DKI) and Neurite Orientation Dispersion and Density Imaging (NODDI) made available new tools to image axonal pathology non-invasively in vivo. These methods already showed greater sensitivity and specificity compared to conventional diffusion tensor-based metrics (e.g., fractional anisotropy), overcoming some of its limitations. While previous studies uncovered global and focal axonal degeneration in MS patients compared to healthy controls, here our aim is to investigate and compare different diffusion MRI acquisition protocols in their ability to highlight microstructural differences between MS and control tissue over several much used models. For comparison, we contrasted the ability of fractional anisotropy measurements to uncover differences between lesion, normal-appearing white matter, grey matter and healthy tissue under the same imaging protocols. We show that: 1) focal and diffuse differences in several microstructural parameters are observed under clinical settings; 2) advanced models (CHARMED, DKI and NODDI) have increased specificity and sensitivity to neurodegeneration when compared to fractional anisotropy measurements; and 3) both high (3T) and ultra-high field (7T) are viable options for imaging tissue change in MS lesions and normal appearing white matter, while higher b-values are less beneficial under the tested short-time (10 min acquisition) conditions.

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Researcher 22 21%
Other 7 7%
Student > Doctoral Student 6 6%
Student > Master 6 6%
Other 13 12%
Unknown 26 25%
Readers by discipline Count As %
Neuroscience 24 23%
Medicine and Dentistry 15 14%
Physics and Astronomy 5 5%
Engineering 5 5%
Nursing and Health Professions 4 4%
Other 14 13%
Unknown 38 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 May 2019.
All research outputs
#6,721,096
of 25,382,440 outputs
Outputs from Neuroscience
#2,015
of 7,821 outputs
Outputs of similar age
#110,058
of 343,332 outputs
Outputs of similar age from Neuroscience
#38
of 123 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,821 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 74% 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 343,332 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.