IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_ncomms14211.html
   My bibliography  Save this article

Quantifying cerebral contributions to pain beyond nociception

Author

Listed:
  • Choong-Wan Woo

    (University of Colorado, Boulder
    Institute of Cognitive Science, University of Colorado, Boulder
    Present address: Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon 16419, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea)

  • Liane Schmidt

    (INSEAD, Fontainebleau
    Cognitive Neuroscience Laboratory, INSERM U960, Ecole Normale Supérieure)

  • Anjali Krishnan

    (Brooklyn College of the City University of New York)

  • Marieke Jepma

    (Cognitive Psychology Unit, Institute of Psychology, Leiden University
    Leiden Institute for Brain and Cognition, Leiden University)

  • Mathieu Roy

    (McGill University)

  • Martin A. Lindquist

    (Johns Hopkins University)

  • Lauren Y. Atlas

    (National Center for Complementary and Integrative Health, National Institutes of Health
    National Institute on Drug Abuse, National Institutes of Health)

  • Tor D. Wager

    (University of Colorado, Boulder
    Institute of Cognitive Science, University of Colorado, Boulder)

Abstract

Cerebral processes contribute to pain beyond the level of nociceptive input and mediate psychological and behavioural influences. However, cerebral contributions beyond nociception are not yet well characterized, leading to a predominant focus on nociception when studying pain and developing interventions. Here we use functional magnetic resonance imaging combined with machine learning to develop a multivariate pattern signature—termed the stimulus intensity independent pain signature-1 (SIIPS1)—that predicts pain above and beyond nociceptive input in four training data sets (Studies 1–4, N=137). The SIIPS1 includes patterns of activity in nucleus accumbens, lateral prefrontal and parahippocampal cortices, and other regions. In cross-validated analyses of Studies 1–4 and in two independent test data sets (Studies 5–6, N=46), SIIPS1 responses explain variation in trial-by-trial pain ratings not captured by a previous fMRI-based marker for nociceptive pain. In addition, SIIPS1 responses mediate the pain-modulating effects of three psychological manipulations of expectations and perceived control. The SIIPS1 provides an extensible characterization of cerebral contributions to pain and specific brain targets for interventions.

Suggested Citation

  • Choong-Wan Woo & Liane Schmidt & Anjali Krishnan & Marieke Jepma & Mathieu Roy & Martin A. Lindquist & Lauren Y. Atlas & Tor D. Wager, 2017. "Quantifying cerebral contributions to pain beyond nociception," Nature Communications, Nature, vol. 8(1), pages 1-14, April.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14211
    DOI: 10.1038/ncomms14211
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms14211
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms14211?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14211. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.