PMID- 37255228
OWN - NLM
STAT- MEDLINE
DCOM- 20230821
LR  - 20230828
IS  - 1532-2149 (Electronic)
IS  - 1090-3801 (Linking)
VI  - 27
IP  - 8
DP  - 2023 Sep
TI  - Pain-free default mode network connectivity contributes to tonic experimental 
      pain intensity beyond the role of negative mood and other pain-related factors.
PG  - 995-1005
LID - 10.1002/ejp.2141 [doi]
AB  - BACKGROUND: Alterations in the default mode network (DMN) connectivity across 
      pain stages suggest a possible DMN involvement in the transition to persistent 
      pain. AIM: This 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. 
      METHODS: Pain-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). RESULTS: Pain-free DMN connectivity increased the explained variance in 
      peak pain intensity beyond the contribution of other factors (DeltaR(2)  = 0.10, 
      p = 0.003), with the final model explaining 66% of the variation (R(2)  = 0.66, 
      ANOVA: p < 0.001). In this model, negative affect (beta = 0.51, p < 0.001), 
      helplessness (beta = 0.49, p = 0.007), pain-free mPFC-lAG connectivity (beta = 0.36, 
      p = 0.003) and depression (beta = -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. CONCLUSIONS: This work suggests that pain-free mPFC-lAG connectivity 
      (at lower alpha) may contribute to individual variations in pain-related 
      vulnerability. SIGNIFICANCE: These findings could potentially lead the way for 
      investigations in which DMN connectivity is used in identifying individuals more 
      likely to develop chronic pain.
CI  - (c) 2023 The Authors. European Journal of Pain published by John Wiley & Sons Ltd 
      on behalf of European Pain Federation - EFIC (R).
FAU - Alhajri, Najah
AU  - Alhajri N
AD  - Center for Neuroplasticity and Pain (CNAP), Department of Health Science and 
      Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark.
FAU - Boudreau, Shellie Ann
AU  - Boudreau SA
AD  - Center for Neuroplasticity and Pain (CNAP), Department of Health Science and 
      Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark.
FAU - Mouraux, Andre
AU  - Mouraux A
AD  - Institute of Neuroscience (IONS), Universite catholique de Louvain, Brussels, 
      Belgium.
FAU - Graven-Nielsen, Thomas
AU  - Graven-Nielsen T
AUID- ORCID: 0000-0002-7787-4860
AD  - Center for Neuroplasticity and Pain (CNAP), Department of Health Science and 
      Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230531
PL  - England
TA  - Eur J Pain
JT  - European journal of pain (London, England)
JID - 9801774
RN  - S07O44R1ZM (Capsaicin)
SB  - IM
MH  - Humans
MH  - Female
MH  - *Brain/diagnostic imaging
MH  - *Brain Mapping
MH  - Pain Measurement
MH  - Capsaicin
MH  - Default Mode Network
MH  - Magnetic Resonance Imaging
MH  - Gyrus Cinguli
MH  - Affect
MH  - Neural Pathways/diagnostic imaging
EDAT- 2023/05/31 13:11
MHDA- 2023/08/21 06:42
CRDT- 2023/05/31 08:13
PHST- 2023/05/08 00:00 [revised]
PHST- 2023/02/16 00:00 [received]
PHST- 2023/05/13 00:00 [accepted]
PHST- 2023/08/21 06:42 [medline]
PHST- 2023/05/31 13:11 [pubmed]
PHST- 2023/05/31 08:13 [entrez]
AID - 10.1002/ejp.2141 [doi]
PST - ppublish
SO  - Eur J Pain. 2023 Sep;27(8):995-1005. doi: 10.1002/ejp.2141. Epub 2023 May 31.