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Original ArticleFree Preview

An fMRI-Based Neurologic Signature of Physical Pain

List of authors.
  • Tor D. Wager, Ph.D.,
  • Lauren Y. Atlas, Ph.D.,
  • Martin A. Lindquist, Ph.D.,
  • Mathieu Roy, Ph.D.,
  • Choong-Wan Woo, M.A.,
  • and Ethan Kross, Ph.D.

Abstract

Background

Persistent pain is measured by means of self-report, the sole reliance on which hampers diagnosis and treatment. Functional magnetic resonance imaging (fMRI) holds promise for identifying objective measures of pain, but brain measures that are sensitive and specific to physical pain have not yet been identified.

Methods

In four studies involving a total of 114 participants, we developed an fMRI-based measure that predicts pain intensity at the level of the individual person. In study 1, we used machine-learning analyses to identify a pattern of fMRI activity across brain regions — a neurologic signature — that was associated with heat-induced pain. The pattern included the thalamus, the posterior and anterior insulae, the secondary somatosensory cortex, the anterior cingulate cortex, the periaqueductal gray matter, and other regions. In study 2, we tested the sensitivity and specificity of the signature to pain versus warmth in a new sample. In study 3, we assessed specificity relative to social pain, which activates many of the same brain regions as physical pain. In study 4, we assessed the responsiveness of the measure to the analgesic agent remifentanil.

Results

In study 1, the neurologic signature showed sensitivity and specificity of 94% or more (95% confidence interval [CI], 89 to 98) in discriminating painful heat from nonpainful warmth, pain anticipation, and pain recall. In study 2, the signature discriminated between painful heat and nonpainful warmth with 93% sensitivity and specificity (95% CI, 84 to 100). In study 3, it discriminated between physical pain and social pain with 85% sensitivity (95% CI, 76 to 94) and 73% specificity (95% CI, 61 to 84) and with 95% sensitivity and specificity in a forced-choice test of which of two conditions was more painful. In study 4, the strength of the signature response was substantially reduced when remifentanil was administered.

Conclusions

It is possible to use fMRI to assess pain elicited by noxious heat in healthy persons. Future studies are needed to assess whether the signature predicts clinical pain. (Funded by the National Institute on Drug Abuse and others.)

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Funding and Disclosures

Supported by grants from the National Institute on Drug Abuse (1RC1DA028608 and R01DA027794), the National Institute of Mental Health (R01MH076136), and the National Science Foundation (0631637, to Dr. Wager).

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

We thank Drs. Ed Smith, John Jonides, Basil Margolis, Doug Noll, Robert Welsh, and Daphna Shohamy for helpful discussion and comments on an earlier version of the manuscript; Dr. Robert Whittington for participation in the drug administration and data collection in study 4; Damon Abraham and Kate Dahl for help with data collection; Dr. Tal Yarkoni for help with meta-analytic maps; Dr. Jason Buhle for assistance in planning study 2; Dr. Steven Shafer for assistance with pharmokinetic modeling; and Dr. Lew Harvey for consultation on binary classification analyses.

Author Affiliations

From the Department of Psychology and Neuroscience, University of Colorado, Boulder (T.D.W., M.R., C.-W.W.); the Department of Psychology, New York University, New York (L.Y.A.); the Department of Biostatistics, Johns Hopkins University, Baltimore (M.A.L.); and the Department of Psychology, University of Michigan, Ann Arbor (E.K.).

Address reprint requests to Dr. Wager at the Department of Psychology and Neuroscience, University of Colorado, Boulder, 345 UCB, Boulder, CO 80305, or at .