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Neuroimaging Techniques to Assess Inflammation in Multiple Sclerosis

Overview of attention for article published in Neuroscience, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Neuroimaging Techniques to Assess Inflammation in Multiple Sclerosis
Published in
Neuroscience, July 2017
DOI 10.1016/j.neuroscience.2017.07.055
Pubmed ID
Authors

Silvia Tommasin, Costanza Giannì, Laura De Giglio, Patrizia Pantano

Abstract

Multiple Sclerosis (MS) is a chronic neurological disease that represents a leading cause of disability in young adults and is characterised by inflammation and degeneration of both white matter (WM) and grey matter (GM). Defining the presence or absence of inflammation on individual basis is a key point in choosing the therapy and monitoring the treatment response. Magnetic resonance imaging (MRI) represents the most sensitive non-invasive tool to monitor inflammation in the clinical practice. Indeed, in the early phase of inflammation MRI detects new lesions as extrusion of gadolinium contrast agents across the altered blood-brain-barrier (BBB). The occurrence of MRI lesions is used to confirm diagnosis and has been validated as surrogate marker of relapse to monitor response to treatments. However, focal gadolinium-enhancing lesions represent only an aspect of neuroinflammation. Recent studies have suggested the presence of a widespread inflammation of the central nervous system (CNS), which is mainly related to microglial cells activation occurring both at the edge of chronic focal lesions and throughout the normal-appearing brain tissue. New imaging techniques have been developed to study diffuse inflammation taking place outside the focal plaques. The scope of this review is to examine the various neuroimaging techniques and those biophysical quantities that can be non-invasively detected to enlighten the different aspects of neuroinflammation. Some techniques are commonly used in the clinical practice, while others are used in the research field to better understand the pathophysiological mechanisms of the disease and the role of inflammation.

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The data shown below were collected from the profiles of 5 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Master 12 14%
Student > Ph. D. Student 10 11%
Other 9 10%
Student > Bachelor 8 9%
Other 22 25%
Unknown 11 13%
Readers by discipline Count As %
Medicine and Dentistry 25 29%
Neuroscience 19 22%
Computer Science 4 5%
Agricultural and Biological Sciences 3 3%
Engineering 3 3%
Other 16 18%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 August 2017.
All research outputs
#8,188,597
of 25,382,440 outputs
Outputs from Neuroscience
#2,501
of 7,821 outputs
Outputs of similar age
#120,294
of 326,782 outputs
Outputs of similar age from Neuroscience
#48
of 165 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 67th 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 67% 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 326,782 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 62% of its contemporaries.
We're also able to compare this research output to 165 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.