López-Solà M, Woo CW, Pujol J, Deus J, Harrison BJ, Monfort
J, Wager TD. Towards a neurophysiological signature for fibromyalgia.
Pain. 2017 Jan;158(1):34-47.
Abstract
Patients with fibromyalgia (FM) show characteristically
enhanced unpleasantness to painful and nonpainful sensations accompanied by
altered neural responses. The diagnostic potential of such neural alterations,
including their sensitivity and specificity to FM (vs healthy controls) is
unknown. We identify a brain signature that characterizes FM central
pathophysiology at the neural systems level. We included 37 patients with FM
and 35 matched healthy controls, and analyzed functional magnetic resonance imaging
responses to (1) painful pressure and (2) nonpainful multisensory
(visual-auditory-tactile) stimulation. We used machine-learning techniques to
identify a brain-based FM signature. When exposed to the same painful stimuli,
patients with FM showed greater neurologic pain signature (NPS; Wager et al.,
2013. An fMRI-based neurologic signature of physical pain. N Engl J Med
2013;368:1388-97) responses. In addition, a new pain-related classifier
("FM-pain") revealed augmented responses in sensory integration
(insula/operculum) and self-referential (eg, medial prefrontal) regions in FM
and reduced responses in the lateral frontal cortex. A "multisensory"
classifier trained on nonpainful sensory stimulation revealed augmented
responses in the insula/operculum, posterior cingulate, and medial prefrontal
regions and reduced responses in the primary/secondary sensory cortices, basal
ganglia, and cerebellum. Combined activity in the NPS, FM pain, and
multisensory patterns classified patients vs controls with 92% sensitivity and
94% specificity in out-of-sample individuals. Enhanced NPS responses partly
mediated mechanical hypersensitivity and correlated with depression and
disability (Puncorrected < 0.05); FM-pain and multisensory responses
correlated with clinical pain (Puncorrected < 0.05). The study provides
initial characterization of individual patients with FM based on
pathophysiological, symptom-related brain features. If replicated, these brain
features may constitute objective neural targets for therapeutic interventions.
The results establish a framework for assessing therapeutic mechanisms and
predicting treatment response at the individual level.
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