IDEAS home Printed from https://ideas.repec.org/a/plo/pbio00/3000349.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000349
    Download Restriction: no
    File URL: https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3000349&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pbio.3000349?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Feng Zhou & Weihua Zhao & Ziyu Qi & Yayuan Geng & Shuxia Yao & Keith M. Kendrick & Tor D. Wager & Benjamin Becker, 2021. "A distributed fMRI-based signature for the subjective experience of fear," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    2. M. E. Hoeppli & H. Nahman-Averbuch & W. A. Hinkle & E. Leon & J. Peugh & M. Lopez-Sola & C. D. King & K. R. Goldschneider & R. C. Coghill, 2022. "Dissociation between individual differences in self-reported pain intensity and underlying fMRI brain activation," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Jaron T Colas & Wolfgang M Pauli & Tobias Larsen & J Michael Tyszka & John P O’Doherty, 2017. "Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-32, October.
    4. Xiqin Liu & Guojuan Jiao & Feng Zhou & Keith M. Kendrick & Dezhong Yao & Qiyong Gong & Shitong Xiang & Tianye Jia & Xiao-Yong Zhang & Jie Zhang & Jianfeng Feng & Benjamin Becker, 2024. "A neural signature for the subjective experience of threat anticipation under uncertainty," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:3000349. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.