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Tian QQ, Cheng C, Liu PH, Yin ZX, Zhang MK, Cui YP, Zhao R, Deng H, Lu LM, Tang CZ, Xu NG, Yang XJ, Sun JB, Qin W. Combined effect of transcutaneous auricular vagus nerve stimulation and 0.1 Hz slow-paced breathing on working memory. Front Neurosci 2023; 17:1133964. [PMID: 36968483 PMCID: PMC10034029 DOI: 10.3389/fnins.2023.1133964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
BackgroundPrevious 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 via changes in autonomic afferent activity. In the present study, we investigated the synergistic effects of taVNS and SPB on WM performance.MethodsA 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.ResultsFor the spatial 3-back task, a significant interaction between time and intervention was found for the accuracy rate of matching trials (mACC, p = 0.03). Post hoc analysis suggested that both taVNS and taVNS + SPB improved WM performance, however, no significant difference was found in the SPB or sham groups.ConclusionThis 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.
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Affiliation(s)
- Qian-Qian Tian
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Chen Cheng
- Engineering 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 Liu
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Zi-Xin Yin
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Meng-Kai Zhang
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Ya-Peng Cui
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Rui Zhao
- School of Electronics and Information, Xi’an Polytechnic University, Xi’an, Shaanxi, China
| | - Hui Deng
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
- Guangzhou Institute of Technology, Xidian University, Xi’an, Shaanxi, China
| | - Li-Ming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chun-Zhi Tang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Neng-Gui Xu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xue-Juan Yang
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
- Guangzhou Institute of Technology, Xidian University, Xi’an, Shaanxi, China
- Xue-Juan Yang,
| | - Jin-Bo Sun
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
- Guangzhou Institute of Technology, Xidian University, Xi’an, Shaanxi, China
- *Correspondence: Jin-Bo Sun,
| | - Wei Qin
- Intelligent Non-Invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi’an, Shaanxi, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
- Guangzhou Institute of Technology, Xidian University, Xi’an, Shaanxi, China
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Xu J, Jo H, Noorbhai L, Patel A, Li A. Virtual mindfulness interventions to promote well-being in adults: A mixed-methods systematic review. J Affect Disord 2022; 300:571-585. [PMID: 34990635 PMCID: PMC8765070 DOI: 10.1016/j.jad.2022.01.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 11/08/2021] [Accepted: 01/02/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND With the onset of the COVID-19 pandemic, many have experienced drastic changes in their academic and social lives with ensuing consequences towards their physical and mental well-being. The purpose of this systematic review is to identify virtual mindfulness-based interventions for the well-being of adults aged 19 to 40 years in developed countries and examine the efficacy of these techniques/exercises. METHODS This mixed-methods systematic review follows the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines with a registered PROSPERO protocol. With a convergent integrated synthesis approach, IEEE Xplore, PsychInfo, Web of Science and OVID were searched with a predetermined criteria and search strategy employing booleans and filters for peer-reviewed and gray literature. Data screening and extraction were independently performed by two authors, with a third author settling disagreements after reconciliation. Study quality of selected articles was assessed with two independent authors using the Mixed Methods Appraisal Tool (MMAT). Studies were analyzed qualitatively (precluding meta and statistical analysis) due to the heterogeneous study results from diverse study designs in present literature. RESULTS Common mindfulness-based interventions used in the appraised studies included practicing basic mindfulness, Mindfulness-Based Stress Reduction (MBSR) programs, Mindfulness-Based Cognitive Therapy programs (MBCT) and the Learning 2 BREATHE (L2B) program. CONCLUSION Studies implementing mindfulness interventions demonstrated an overall improvement in well-being. Modified versions of these interventions can be implemented in a virtual context, so adults can improve their well-being through an accessible format.
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Affiliation(s)
- Joy Xu
- McMaster University, Hamilton, ON, Canada.
| | - Helen Jo
- University of Toronto, Toronto, ON, Canada
| | | | - Ami Patel
- McMaster University, Hamilton, ON, Canada
| | - Amy Li
- University of Western, London, ON, Canada
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