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Home / An fMRI-based neurologic signature of physical pain.

An fMRI-based neurologic signature of physical pain.

TitleAn fMRI-based neurologic signature of physical pain.
Publication TypeJournal Article
Year of Publication2013
AuthorsWager TD, Atlas LY, Lindquist MA, Roy M, Woo C-W, Kross E
JournalN Engl J Med
Volume368
Issue15
Pagination1388-97
Date Published2013 Apr 11
ISSN1533-4406
KeywordsAdult, Analgesics, Opioid, Artificial Intelligence, Brain, brain mapping, Female, Hot Temperature, Humans, Magnetic Resonance Imaging, Male, Pain, Pain Measurement, Piperidines, ROC Curve, Sensitivity and Specificity, Young Adult
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.).

DOI10.1056/NEJMoa1204471
Alternate JournalN. Engl. J. Med.
PubMed ID23574118
PubMed Central IDPMC3691100
Grant List1RC1DA028608 / DA / NIDA NIH HHS / United States
R01 DA027794 / DA / NIDA NIH HHS / United States
R01 DA035484 / DA / NIDA NIH HHS / United States
R01 MH076136 / MH / NIMH NIH HHS / United States
R01DA027794 / DA / NIDA NIH HHS / United States
R01MH076136 / MH / NIMH NIH HHS / United States
RC1 DA028608 / DA / NIDA NIH HHS / United States
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