Pain‐free default mode network connectivity contributes to tonic experimental pain intensity beyond the role of negative mood and other pain‐related factors

Author:

Alhajri Najah1,Boudreau Shellie Ann1,Mouraux André2,Graven‐Nielsen Thomas1ORCID

Affiliation:

1. Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Faculty of Medicine Aalborg University Aalborg Denmark

2. Institute of Neuroscience (IONS) Université catholique de Louvain Brussels Belgium

Abstract

AbstractBackgroundAlterations in the default mode network (DMN) connectivity across pain stages suggest a possible DMN involvement in the transition to persistent pain.AimThis study examined whether pain‐free DMN connectivity at lower alpha oscillations (8‐10 Hz) accounts for a unique variation in experimental peak pain intensity beyond the contribution of factors known to influence pain intensity.MethodsPain‐free DMN connectivity was measured with electroencephalography prior to 1 h of capsaicin‐evoked pain using a topical capsaicin patch on the right forearm. Pain intensity was assessed on a (0–10) numerical rating scale and the association between peak pain intensity and baseline measurements was examined using hierarchical multiple regression in 52 healthy volunteers (26 women). The baseline measurements consisted of catastrophizing (helplessness, rumination, magnification), vigilance, depression, negative and positive affect, sex, age, sleep, fatigue, thermal and mechanical pain thresholds and DMN connectivity (medial prefrontal cortex [mPFC]‐posterior cingulate cortex [PCC], mPFC‐right angular gyrus [rAG], mPFC‐left Angular gyrus [lAG], rAG‐mPFC and rAG‐PCC).ResultsPain‐free DMN connectivity increased the explained variance in peak pain intensity beyond the contribution of other factors (ΔR2 = 0.10, p = 0.003), with the final model explaining 66% of the variation (R2 = 0.66, ANOVA: p < 0.001). In this model, negative affect (β = 0.51, p < 0.001), helplessness (β = 0.49, p = 0.007), pain‐free mPFC‐lAG connectivity (β = 0.36, p = 0.003) and depression (β = −0.39, p = 0.009) correlated significantly with peak pain intensity. Interestingly, negative affect and depression, albeit both being negative mood indices, showed opposing relationships with peak pain intensity.ConclusionsThis work suggests that pain‐free mPFC‐lAG connectivity (at lower alpha) may contribute to individual variations in pain‐related vulnerability.SignificanceThese findings could potentially lead the way for investigations in which DMN connectivity is used in identifying individuals more likely to develop chronic pain.

Publisher

Wiley

Subject

Anesthesiology and Pain Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3