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Cerebral blood flow and heart rate variability predict fatigue severity in patients with chronic fatigue syndrome

Overview of attention for article published in Brain Imaging and Behavior, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
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38 X users
facebook
9 Facebook pages

Citations

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33 Dimensions

Readers on

mendeley
105 Mendeley
Title
Cerebral blood flow and heart rate variability predict fatigue severity in patients with chronic fatigue syndrome
Published in
Brain Imaging and Behavior, May 2018
DOI 10.1007/s11682-018-9897-x
Pubmed ID
Authors

Jeff Boissoneault, Janelle Letzen, Michael Robinson, Roland Staud

Abstract

Prolonged, disabling fatigue is the hallmark of chronic fatigue syndrome (CFS). Previous neuroimaging studies have provided evidence for nervous system involvement in CFS etiology, including perturbations in brain structure/function. In this arterial spin labeling (ASL) MRI study, we examined variability in cerebral blood flow (CBFV) and heart rate (HRV) in 28 women: 14 with CFS and 14 healthy controls. We hypothesized that CBFV would be reduced in individuals with CFS compared to healthy controls, and that increased CBFV and HRV would be associated with lower levels of fatigue in affected individuals. Our results provided support for these hypotheses. Although no group differences in CBFV or HRV were detected, greater CBFV and more HRV power were both associated with lower fatigue symptom severity in individuals with CFS. Exploratory statistical analyses suggested that protective effects of high CBFV were greatest in individuals with low HRV. We also found novel evidence of bidirectional association between the very high frequency (VHF) band of HRV and CBFV. Taken together, the results of this study suggest that CBFV and HRV are potentially important measures of adaptive capacity in chronic illnesses like CFS. Future studies should address these measures as potential therapeutic targets to improve outcomes and reduce symptom severity in individuals with CFS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 18 17%
Researcher 17 16%
Student > Master 11 10%
Student > Doctoral Student 7 7%
Student > Bachelor 7 7%
Other 13 12%
Unknown 32 30%
Readers by discipline Count As %
Medicine and Dentistry 18 17%
Neuroscience 9 9%
Engineering 8 8%
Sports and Recreations 6 6%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 19 18%
Unknown 39 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 June 2018.
All research outputs
#1,334,035
of 25,839,971 outputs
Outputs from Brain Imaging and Behavior
#62
of 1,189 outputs
Outputs of similar age
#27,995
of 345,405 outputs
Outputs of similar age from Brain Imaging and Behavior
#3
of 47 outputs
Altmetric has tracked 25,839,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,189 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 94% 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 345,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.