Quantifying cerebral contributions to pain beyond nociception

Choong-Wan Woo, Liane Schmidt, Anjali Krishnan, Marieke Jepma, Mathieu Roy, Martin A. Lindquist, Lauren Y. Atlas and Tor D. Wager ()
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Choong-Wan Woo: University of Colorado, Boulder
Liane Schmidt: INSEAD, Fontainebleau
Anjali Krishnan: Brooklyn College of the City University of New York
Marieke Jepma: Cognitive Psychology Unit, Institute of Psychology, 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
Tor D. Wager: University of Colorado, Boulder

Nature Communications, 2017, vol. 8, issue 1, 1-14

Abstract: 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.

Date: 2017
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DOI: 10.1038/ncomms14211

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