Evidence map›Paper›PMID 32050990›Full record

ReviewJournal of neuroinflammation2020

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

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

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of neuroinflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05439707 (Effects of Perioperative Transauricular Vagus Nerve Electrical Stimulation on Postoperative Delirium, Postoperative Cognitive Dysfunction and Chronic Postsurgical Pain in Patients Undergoing Arthroplasty.), which is not on this map. Cited by 108 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 6 pooled it
8.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05439707 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Effects of Perioperative Transauricular Vagus Nerve Electrical Stimulation on Postoperative Delirium, Postoperative Cognitive Dysfunction and Chronic Postsurgical Pain in Patients Undergoing Arthroplasty.

TypeinterventionalSponsorXuzhou Central HospitalRan2022 to 2024Enrolled600ConditionsPostoperative Cognitive Dysfunction, Postoperative Delirium, Chronic Post Operative PainArmstransaricular vagus nerve stimulation, fake transaricular vagus nerve stimulation
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 6 syntheses or guidelines pooled it, 191 citations in OpenAlex.

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48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 3 countries.

Chun-Hong LiuBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China. chunhongliu11@163.com.
Ming-Hao YangBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Guang-Zhong ZhangDermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Xiao-Xu WangDermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Bin LiAcupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Capital Medical University, Beijing, 100010, China.
Meng LiClinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.
Marie WoelferClinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.
Martin WalterClinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.
Lihong WangDepartment of Psychiatry, University of Connecticut Health Center, Farmington, CT 06030, USA. lwang@uchc.edu.
Beijing Hospital of Traditional Chinese Medicine · CNCapital Medical University · CNJena University Hospital · DENew Jersey Institute of Technology · USOtto-von-Guericke University Magdeburg · DEUConn Health · US

Funding

National Natural Science Foundation of China 81871507 and 81471389
6 · The paper itself

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.

Indexed as

Vagus Nerve StimulationBrainDepressive DisorderHumansNerve NetAnti-inflammationBrain networkDepressionTranscutaneous auricular vagus nerve stimulationVagus nerve

Identifiers

PMID32050990
PMCPMC7017619
OpenAlexW3006109198

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.