Effects of Sub-threshold Transcutaneous Auricular Vagus Nerve Stimulation on Cingulate Cortex and Insula Resting-state Functional Connectivity

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Transcutaneous auricular vagus nerve stimulation (taVNS), a non-invasive alternative to vagus nerve stimulation (VNS) with implantable devices, has shown promise in treating disorders such as depression, migraine, and insomnia. Studies of these disorders with resting-state functional magnetic resonance imaging (MRI) (rsfMRI) have found sustained changes in resting-state functional connectivity (rsFC) in patients treated with low frequency (1–20 Hz) taVNS. A recent study has reported reductions in pain scores in patients with rheumatoid arthritis after a 12-week treatment of high-frequency (20 kHz) sub-threshold taVNS. However, no studies to date have examined the effects of high-frequency sub-threshold taVNS on rsFC. The objective of this study was to determine whether high-frequency sub-threshold taVNS induces changes in rsFC using seed regions from the cingulate cortex and insula, brain regions that play a key role in interoception and processing of pain. With a single-blind placebo-controlled repeated measures experimental design, rsfMRI scans were acquired before and after 15 min of either sub-threshold taVNS treatment or a sham control. Significant taVNS-related changes in functional connections to the cingulate cortex were detected between the anterior cingulate cortex and right superior temporal gyrus and between the midcingulate cortex and right inferior parietal lobule. In addition, significant changes in functional connections to the insula were detected between the posterior insula and right precuneus and between the anterior insula and right cuneus gyrus. These results suggest that high-frequency sub-threshold taVNS can lead to sustained effects on the rsFC of brain regions involved in interoception and processing of pain in a cohort of healthy subjects. This study lays the foundation for future rsfMRI studies of high-frequency sub-threshold taVNS in clinical populations.

Related collections

Most cited references 63

Record: found
Abstract: found
Article: not found

Advances in functional and structural MR image analysis and implementation as FSL.

Stephen M Smith, Mark Jenkinson, Mark Woolrich … (2005)

The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).

0 comments Cited 1833 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.

Jonathan D Power, Kelly A Barnes, Abraham Z Snyder … (2012)

Here, we demonstrate that subject motion produces substantial changes in the timecourses of resting state functional connectivity MRI (rs-fcMRI) data despite compensatory spatial registration and regression of motion estimates from the data. These changes cause systematic but spurious correlation structures throughout the brain. Specifically, many long-distance correlations are decreased by subject motion, whereas many short-distance correlations are increased. These changes in rs-fcMRI correlations do not arise from, nor are they adequately countered by, some common functional connectivity processing steps. Two indices of data quality are proposed, and a simple method to reduce motion-related effects in rs-fcMRI analyses is demonstrated that should be flexibly implementable across a variety of software platforms. We demonstrate how application of this technique impacts our own data, modifying previous conclusions about brain development. These results suggest the need for greater care in dealing with subject motion, and the need to critically revisit previous rs-fcMRI work that may not have adequately controlled for effects of transient subject movements. Copyright © 2011 Elsevier Inc. All rights reserved.

0 comments Cited 1407 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Yashar Behzadi, Khaled Restom, Joy Liau … (2007)

A component based method (CompCor) for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented. In the proposed method, significant principal components are derived from noise regions-of-interest (ROI) in which the time series data are unlikely to be modulated by neural activity. These components are then included as nuisance parameters within general linear models for BOLD and perfusion-based fMRI time series data. Two approaches for the determination of the noise ROI are considered. The first method uses high-resolution anatomical data to define a region of interest composed primarily of white matter and cerebrospinal fluid, while the second method defines a region based upon the temporal standard deviation of the time series data. With the application of CompCor, the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced as compared to either no correction or the application of a previously described retrospective image based correction scheme (RETROICOR). For both functional perfusion and BOLD data, the application of CompCor significantly increased the number of activated voxels as compared to no correction. In addition, for functional BOLD data, there were significantly more activated voxels detected with CompCor as compared to RETROICOR. In comparison to RETROICOR, CompCor has the advantage of not requiring external monitoring of physiological fluctuations.

0 comments Cited 959 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Yixiang Mao: URI : http://loop.frontiersin.org/people/1506095/overview

Thomas T. Liu: URI : http://loop.frontiersin.org/people/12539/overview

Journal

Journal ID (nlm-ta): Front Hum Neurosci

Journal ID (iso-abbrev): Front Hum Neurosci

Journal ID (publisher-id): Front. Hum. Neurosci.

Title: Frontiers in Human Neuroscience

Publisher: Frontiers Media S.A.

ISSN (Electronic): 1662-5161

Publication date (Electronic): 14 April 2022

Publication date Collection: 2022

Volume: 16

Electronic Location Identifier: 862443

Affiliations

[1] ¹Center for Functional MRI, University of California San Diego , La Jolla, CA, United States

[2] ²Department of Psychology, Stanford University , Stanford, CA, United States

[3] ³Nēsos Corporation , Redwood City, CA, United States

[4] ⁴Department of Neurosurgery, Hue University of Medicine and Pharmacy , Hue, Vietnam

[5] ⁵Departments of Radiology, Psychiatry, and Bioengineering, University of California San Diego , La Jolla, CA, United States

Author notes

Edited by: Peijing Rong, China Academy of Chinese Medical Sciences, China

Reviewed by: Chunhong Liu, Capital Medical University, China; Shengyuan Yu, Chinese PLA General Hospital, China

*Correspondence: Yixiang Mao y1mao@ 123456eng.ucsd.edu

Thomas T. Liu ttliu@ 123456ucsd.edu

This article was submitted to Brain Imaging and Stimulation, a section of the journal Frontiers in Human Neuroscience

Article

DOI: 10.3389/fnhum.2022.862443

PMC ID: 9048677

PubMed ID: 35496068

SO-VID: 5d38fc30-6e77-4194-89c7-5268cfb3f52e

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

History

Date received : 25 January 2022

Date accepted : 23 March 2022

Page count

Figures: 4, Tables: 1, Equations: 0, References: 63, Pages: 11, Words: 7824

Funding

Funded by: University of California, San Diego, doi 10.13039/100007911;

Award ID: 191909-00001

Comments

Comment on this article

scite_

Cited by 3

See all cited by

Most referenced authors 1,182

See all reference authors

Effects of Sub-threshold Transcutaneous Auricular Vagus Nerve Stimulation on Cingulate Cortex and Insula Resting-state Functional Connectivity

Read this article at

Abstract

Related collections

Functional role of amyloid

Most cited references 63

Advances in functional and structural MR image analysis and implementation as FSL.

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.

A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Author and article information

Contributors

Journal

Affiliations

Author notes

Article

History

Page count

Funding

Categories

Comments

Comment on this article

Similar content 212

Cited by 3

Most referenced authors 1,182