Sad Music Modulates Pain Perception: An EEG Study.

Abstract

BACKGROUND:

Music has shown positive effects on pain management in previous studies. However, the relationship between musical emotional types and therapeutic effects remains unclear. To investigate this issue, this study tested three typical emotional types of music and discussed their neural mechanisms in relation to pain modulation.

SUBJECTS AND METHODS:

In this experiment, 40 participants were exposed to cold pain under four conditions: listening to happy music, listening to neutral music, listening to sad music and no sound. EEG and pain thresholds were recorded. The participants were divided into the remission group and the nonremission group for analysis. Differences among conditions were quantified by the duration of exposure to the pain-inducing stimulus in the remission group. EEG data were obtained using a fast Fourier transform (FFT) and then correlated with the behavioral data.

RESULTS:

We found that sad music had a significantly better effect on alleviating pain, as a result of brain oscillations in a higher beta band and the gamma band at the O2 and P4 electrodes. The comparison between the remission group and the nonremission group suggested that personality may affect music-induced analgesia, and dominance, liveliness and introvert and extrovert personality traits were associated with pain modulation by sad music. Additionally, in the network analysis, we compared brain networks under the three conditions and discussed the possible mechanisms underlying the better analgesic effect of sad music.

CONCLUSION:

Sad music may have a better effect on alleviating pain, and its neural mechanisms are also discussed. This work may help understand the effects of music on pain modulation, which also has potential value for clinical use.

• Authors: Sijia Guo, Jing Lu, Yufang Wang, Yuqin Li, Binxin Huang, Yuxin Zhang, Wenhui Gong, Dezhong Yao, Yin Yuan, Yang Xia
• Journal: Journal of pain research (J Pain Res) Vol. 13 Pg. 2003-2012 ( 2020) ISSN: 1178-7090 [Print] New Zealand
• PMID: 32848448 (Publication Type: Journal Article)
• Copyright: © 2020 Guo et al.