Fibromyalgia (FM) is a chronic pain disorder, with no specific treatment, characterized by increased sensitivity in skin and musculoskeletal system, associated to symptoms such as (1) sleep disorders, (2) stiffness, (3) fatigue, (4) anxiety, and (5) depression. Even though the prevalence of this syndrome during infancy is similar between both sexes, in adulthood affects women predominantly, of unknown etiology, associated to symptoms such as sleep disorders, stiffness, fatigue, anxiety, and depression. Music-induced analgesia (MIA) reduces pain, possibly due to cognitive and emotional mechanisms. We aim to study clinical, behavioral and brain functional connectivity (FC) differences of the so-called experimental pain neural network (e-PNN) between FM patients and healthy controls (HC), using resting-state functional magnetic resonance imaging (rs-fMRI).
40 women participated, answering pain, anxiety, and depression questionnaires. Pain intensity (PI) and pain unpleasantness (PU) were measured before and after each experimental condition, which consisted of two auditory backgrounds: music and pink noise (control condition). Music was familiar, pleasurable, and slow. A seed-based correlation analysis (SCA) was performed on the FC of the e-PNN.FM showed more pain catastrophizing, and more anxiety and depression symptoms. FM showed a disrupted FC when compared to HC. FM show a decrease of FC of the e-PNN after listening to music, which correlated with pain scores.
Listening to familiar, pleasurable and relaxing music reduces pain in FM. MIA in FM was correlated with a decrease of FC of the e-PNN. The characteristics of music are key elements for producing a significant analgesic effect, as consequence of top-down modulation of pain, originated by distraction, relaxation, memory-evoked emotions, or a combination of these mechanisms.
Keywords: fibromyalgia, functional connectivity, rs-fMRI, music-induced analgesia, seed-based correlation analysis.