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Neural networks and the anti-inflammatory effect of transcutaneous auricular vagus nerve stimulation in depression

Overview of attention for article published in Journal of Neuroinflammation, February 2020
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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9 X users
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2 Facebook pages
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3 YouTube creators

Citations

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181 Mendeley
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Title
Neural networks and the anti-inflammatory effect of transcutaneous auricular vagus nerve stimulation in depression
Published in
Journal of Neuroinflammation, February 2020
DOI 10.1186/s12974-020-01732-5
Pubmed ID
Authors

Chun-Hong Liu, Ming-Hao Yang, Guang-Zhong Zhang, Xiao-Xu Wang, Bin Li, Meng Li, Marie Woelfer, Martin Walter, Lihong Wang

Abstract

Transcutaneous auricular vagus nerve stimulation (taVNS) is a relatively non-invasive alternative treatment for patients suffering from major depressive disorder (MDD). It has been postulated that acupuncture may achieve its treatment effects on MDD through suppression of vagal nerve inflammatory responses. Our previous research established that taVNS significantly increases amygdala-dorsolateral prefrontal cortex connectivity, which is associated with a reduction in depression severity. However, the relationship between taVNS and the central/peripheral functional state of the immune system, as well as changes in brain neural circuits, have not as yet been elucidated. In the present paper, we outline the anatomic foundation of taVNS and emphasize that it significantly modulates the activity and connectivity of a wide range of neural networks, including the default mode network, executive network, and networks involved in emotional and reward circuits. In addition, we present the inflammatory mechanism of MDD and describe how taVNS inhibits central and peripheral inflammation, which is possibly related to the effectiveness of taVNS in reducing depression severity. Our review suggests a link between the suppression of inflammation and changes in brain regions/circuits post taVNS.

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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 9%
Student > Master 14 8%
Student > Ph. D. Student 12 7%
Student > Doctoral Student 12 7%
Other 9 5%
Other 30 17%
Unknown 88 49%
Readers by discipline Count As %
Medicine and Dentistry 21 12%
Neuroscience 17 9%
Nursing and Health Professions 8 4%
Engineering 6 3%
Psychology 6 3%
Other 28 15%
Unknown 95 52%
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 23 January 2024.
All research outputs
#6,291,309
of 25,299,129 outputs
Outputs from Journal of Neuroinflammation
#1,133
of 2,930 outputs
Outputs of similar age
#124,803
of 471,278 outputs
Outputs of similar age from Journal of Neuroinflammation
#31
of 74 outputs
Altmetric has tracked 25,299,129 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,930 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 61% 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 471,278 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 73% of its contemporaries.
We're also able to compare this research output to 74 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 59% of its contemporaries.