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Identification of traits and functional connectivity-based neurotraits of chronic pain

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  • Etienne Vachon-Presseau
  • Sara E Berger
  • Taha B Abdullah
  • James W Griffith
  • Thomas J Schnitzer
  • A Vania Apkarian

Abstract

Psychological and personality factors, socioeconomic status, and brain properties all contribute to chronic pain but have essentially been studied independently. Here, we administered a broad battery of questionnaires to patients with chronic back pain (CBP) and collected repeated sessions of resting-state functional magnetic resonance imaging (fMRI) brain scans. Clustering and network analyses applied on the questionnaire data revealed four orthogonal dimensions accounting for 56% of the variance and defining chronic pain traits. Two of these traits—Pain-trait and Emote-trait—were associated with back pain characteristics and could be related to distinct distributed functional networks in a cross-validation procedure, identifying neurotraits. These neurotraits showed good reliability across four fMRI sessions acquired over five weeks. Further, traits and neurotraits all related to the income, emphasizing the importance of socioeconomic status within the personality space of chronic pain. Our approach is a first step in providing metrics aimed at unifying the psychology and the neurophysiology of chronic pain applicable across diverse clinical conditions.A neuroimaging study shows that psychological contributors of chronic pain are represented in patterns of resting state functional connectivity; clustering analysis of these patterns suggests the existence of subtypes of chronic pain patients with specific clinical characteristics.

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  • Etienne Vachon-Presseau & Sara E Berger & Taha B Abdullah & James W Griffith & Thomas J Schnitzer & A Vania Apkarian, 2019. "Identification of traits and functional connectivity-based neurotraits of chronic pain," PLOS Biology, Public Library of Science, vol. 17(8), pages 1-24, August.
    • Handle: RePEc:plo:pbio00:3000349
    DOI: 10.1371/journal.pbio.3000349
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    References listed on IDEAS

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    1. Choong-Wan Woo & Mathieu Roy & Jason T Buhle & Tor D Wager, 2015. "Distinct Brain Systems Mediate the Effects of Nociceptive Input and Self-Regulation on Pain," PLOS Biology, Public Library of Science, vol. 13(1), pages 1-14, January.
    2. Etienne Vachon-Presseau & Sara E. Berger & Taha B. Abdullah & Lejian Huang & Guillermo A. Cecchi & James W. Griffith & Thomas J. Schnitzer & A. Vania Apkarian, 2018. "Brain and psychological determinants of placebo pill response in chronic pain patients," Nature Communications, Nature, vol. 9(1), pages 1-15, December.
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    Cited by:

    1. Suhwan Gim & Dong Hee Lee & Sungwoo Lee & Choong-Wan Woo, 2024. "Interindividual differences in pain can be explained by fMRI, sociodemographic, and psychological factors," Nature Communications, Nature, vol. 15(1), pages 1-6, December.

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