Evidence map›Paper›PMID 36968483›Full record

ArticleFrontiers in neuroscience2023

Combined effect of transcutaneous auricular vagus nerve stimulation and 0.1 Hz slow-paced breathing on working memory.

Qian-Qian Tian, Chen Cheng, Peng-Hui Liu, Zi-Xin Yin, Meng-Kai Zhang, Ya-Peng Cui, Rui Zhao, Hui Deng, Li-Ming Lu, Chun-Zhi Tang and 4 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
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

14 authors at 3 institutions in 1 country.

Qian-Qian TianIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Chen ChengEngineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Peng-Hui LiuIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Zi-Xin YinIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Meng-Kai ZhangIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Ya-Peng CuiIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Rui ZhaoSchool of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi, China.
Hui DengIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Li-Ming LuSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Chun-Zhi TangSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Neng-Gui XuSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xue-Juan YangIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Jin-Bo SunIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Wei QinIntelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi, China.
Xidian University · CNGuangzhou University of Chinese Medicine · CNXi'an Polytechnic University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous research has found that transcutaneous auricular vagus nerve stimulation (taVNS) can improve working memory (WM) performance. It has also been shown that 0.1 Hz slow-paced breathing (SPB, i.e., breathing at a rate of approximately 6 breaths/min) can significantly influence physical state and cognitive function Methods: A total of 96 healthy people participated in this within-subjects experiment involving four conditions, namely taVNS, SPB, combined taVNS with SPB (taVNS + SPB), and sham. Each participant underwent each intervention for 30 min and WM was compared pre- and post-intervention using the spatial and digit n-back tasks in a random order four times. Permutation-based analysis of variance was used to assess the interaction between time and intervention. Results: For the spatial 3-back task, a significant interaction between time and intervention was found for the accuracy rate of matching trials (mACC, Conclusion: This study has replicated the effects of taVNS on WM performance reported in previous studies. However, the synergistic effects of combined taVNS and SPB warrant further research.

Indexed as

slow-paced breathspatial n-backsynergistic effectstaVNSworking memory

Identifiers

PMID36968483
PMCPMC10034029
OpenAlexW4323666574

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Textfull text, public
LicenceCC BY
reference markers read1
measurements read13
Read underepoch 390

Registered trials

None linked

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.