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Quantifying cerebral contributions to pain beyond nociception

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  • 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
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    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. Rotem Botvinik-Nezer & Bogdan Petre & Marta Ceko & Martin A. Lindquist & Naomi P. Friedman & Tor D. Wager, 2024. "Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. 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.

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