Quantifying cerebral contributions to pain beyond nociception.

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.

journal_name

Nat Commun

journal_title

Nature communications

authors

Woo CW,Schmidt L,Krishnan A,Jepma M,Roy M,Lindquist MA,Atlas LY,Wager TD

doi

10.1038/ncomms14211

subject

Has Abstract

pub_date

2017-02-14 00:00:00

pages

14211

issn

2041-1723

pii

ncomms14211

journal_volume

8

pub_type

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