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The Representation of Inflammatory Signals in the Brain – A Model for Subjective Fatigue in Multiple Sclerosis

Overview of attention for article published in Frontiers in Neurology, December 2014
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
The Representation of Inflammatory Signals in the Brain – A Model for Subjective Fatigue in Multiple Sclerosis
Published in
Frontiers in Neurology, December 2014
DOI 10.3389/fneur.2014.00264
Pubmed ID
Authors

Katrin Hanken, Paul Eling, Helmut Hildebrandt

Abstract

In multiple sclerosis (MS) patients, fatigue is rated as one of the most common and disabling symptoms. However, the pathophysiology underlying this fatigue is not yet clear. Several lines of evidence suggest that immunological factors, such as elevated levels of pro-inflammatory cytokines, may contribute to subjective fatigue in MS patients. Pro-inflammatory cytokines represent primary mediators of immune-to-brain-communication, modulating changes in the neurophysiology of the central nervous system. Recently, we proposed a model arguing that fatigue in MS patients is a subjective feeling, which is related to inflammation. Moreover, it implies that fatigue can be measured behaviorally only by applying specific cognitive tasks related to alertness and vigilance. In the present review, we focus on the subjective feeling of MS-related fatigue. We examine the hypothesis that the subjective feeling of MS-related fatigue may be a variant of inflammation-induced sickness behavior, resulting from cytokine-mediated activity changes within brain areas involved in interoception and homeostasis including the insula, the anterior cingulate, and the hypothalamus. We first present studies demonstrating a relationship between pro-inflammatory cytokines and subjective fatigue in healthy individuals, in people with inflammatory disorders, and particularly in MS patients. Subsequently, we discuss studies analyzing the impact of anti-inflammatory treatment on fatigue. In the next part of this review, we present studies on the transmission and neural representation of inflammatory signals, with a special focus on possible neural concomitants of inflammation-induced fatigue. We also present two of our studies on the relationship between local gray and white matter atrophy and fatigue in MS patients. Finally, we discuss some implications of our findings and future perspectives.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Iran, Islamic Republic of 1 <1%
Brazil 1 <1%
Unknown 118 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 15%
Researcher 18 15%
Student > Master 16 13%
Student > Bachelor 14 11%
Student > Doctoral Student 10 8%
Other 21 17%
Unknown 25 20%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Neuroscience 20 16%
Psychology 15 12%
Agricultural and Biological Sciences 9 7%
Nursing and Health Professions 6 5%
Other 20 16%
Unknown 27 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 December 2014.
All research outputs
#14,323,135
of 25,436,226 outputs
Outputs from Frontiers in Neurology
#5,368
of 14,624 outputs
Outputs of similar age
#179,945
of 368,465 outputs
Outputs of similar age from Frontiers in Neurology
#33
of 78 outputs
Altmetric has tracked 25,436,226 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,624 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 62% 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 368,465 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 50% of its contemporaries.
We're also able to compare this research output to 78 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 58% of its contemporaries.