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Individual differences in pain sensitivity are associated with cognitive network functional connectivity following one night of experimental sleep disruption

Authors
  • Letzen, Janelle E.1
  • Remeniuk, Bethany1
  • Smith, Michael T.1
  • Irwin, Michael R.2
  • Finan, Patrick H.1
  • Seminowicz, David A.3
  • 1 Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 2 Cousins Center for Psychoneuroimmunology, UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, California
  • 3 Department of Neural and Pain Sciences, School of Dentistry, and Center to Advance Chronic Pain Research, University of Maryland Baltimore, Baltimore, Maryland
Type
Published Article
Journal
Human Brain Mapping
Publisher
Wiley (John Wiley & Sons)
Publication Date
Oct 16, 2019
Volume
41
Issue
3
Pages
581–593
Identifiers
DOI: 10.1002/hbm.24824
PMID: 31617662
PMCID: PMC6981017
Source
PubMed Central
Keywords
License
Green

Abstract

Previous work suggests that sleep disruption can contribute to poor pain modulation. Here, we used experimental sleep disruption to examine the relationship between sleep disruption-induced pain sensitivity and functional connectivity (FC) of cognitive networks contributing to pain modulation. Nineteen healthy individuals underwent two counterbalanced experimental sleep conditions for one night each: uninterrupted sleep versus sleep disruption. Following each condition, participants completed functional MRI including a simple motor task and a noxious thermal stimulation task. Pain ratings and stimulus temperatures from the latter task were combined to calculate a pain sensitivity change score following sleep disruption. This change score was used as a predictor of simple motor task FC changes using bilateral executive control networks (RECN, LECN) and the default mode network (DMN) masks as seed regions of interest (ROIs). Increased pain sensitivity after sleep disruption was positively associated with increased RECN FC to ROIs within the DMN and LECN ( F (4,14) = 25.28, pFDR = 0.05). However, this pain sensitivity change score did not predict FC changes using LECN and DMN masks as seeds ( pFDR > 0.05). Given that only RECN FC was associated with sleep loss-induced hyperalgesia, findings suggest that cognitive networks only partially contribute to the sleep-pain dyad.

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