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What has functional connectivity and chemical neuroimaging in fibromyalgia taught us about the mechanisms and management of `centralized' pain?

Overview of attention for article published in Arthritis Research & Therapy, August 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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9 X users
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3 Facebook pages
wikipedia
1 Wikipedia page

Citations

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74 Dimensions

Readers on

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144 Mendeley
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Title
What has functional connectivity and chemical neuroimaging in fibromyalgia taught us about the mechanisms and management of `centralized' pain?
Published in
Arthritis Research & Therapy, August 2014
DOI 10.1186/s13075-014-0425-0
Pubmed ID
Authors

Vitaly Napadow, Richard E Harris

Abstract

Research suggests that fibromyalgia is a central, widespread pain syndrome supported by a generalized disturbance in central nervous system pain processing. Over the past decades, multiple lines of research have identified the locus for many functional, chronic pain disorders to the central nervous system, and the brain. In recent years, brain neuroimaging techniques have heralded a revolution in our understanding of chronic pain, as they have allowed researchers to non-invasively (or minimally invasively) evaluate human patients suffering from various pain disorders. While many neuroimaging techniques have been developed, growing interest in two specific imaging modalities has led to significant contributions to chronic pain research. For instance, resting functional connectivity magnetic resonance imaging (fcMRI) is a recent adaptation of fMRI that examines intrinsic brain connectivity - defined as synchronous oscillations of the fMRI signal that occurs in the resting basal state. Proton magnetic resonance spectroscopy ((1)H-MRS) is a non-invasive magnetic resonance imaging technique that can quantify the concentration of multiple metabolites within the human brain. This review will outline recent applications of the complementary imaging techniques - fcMRI and (1)H-MRS - to improve our understanding of fibromyalgia pathophysiology and how pharmacological and non-pharmacological therapies contribute to analgesia in these patients. A better understanding of the brain in chronic pain, with specific linkage as to which neural processes relate to spontaneous pain perception and hyperalgesia, will greatly improve our ability to develop novel therapeutics. Neuroimaging will play a growing role in the translational research approaches needed to make this a reality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
United States 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Student > Master 20 14%
Researcher 18 13%
Student > Bachelor 11 8%
Other 10 7%
Other 33 23%
Unknown 28 19%
Readers by discipline Count As %
Medicine and Dentistry 41 28%
Neuroscience 23 16%
Psychology 15 10%
Nursing and Health Professions 10 7%
Engineering 4 3%
Other 15 10%
Unknown 36 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 January 2017.
All research outputs
#3,094,366
of 22,761,738 outputs
Outputs from Arthritis Research & Therapy
#705
of 2,973 outputs
Outputs of similar age
#33,465
of 236,621 outputs
Outputs of similar age from Arthritis Research & Therapy
#5
of 32 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,973 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 76% 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 236,621 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 85% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.