Abstract
Music can effectively improve people's emotions, and has now become an effective auxiliary treatment method in modern medicine. With the rapid development of neuroimaging, the relationship between music and brain function has attracted much attention. In this study, we proposed an integrated framework of multi-modal electroencephalogram (EEG) and functional near infrared spectroscopy (fNIRS) from data collection to data analysis to explore the effects of music (especially personal preferred music) on brain activity. During the experiment, each subject was listening to two different kinds of music, namely personal preferred music and neutral music. In analyzing the synchronization signals of EEG and fNIRS, we found that music promotes the activity of the brain (especially the prefrontal lobe), and the activation induced by preferred music is stronger than that of neutral music. For the multi-modal features of EEG and fNIRS, we proposed an improved Normalized-ReliefF method to fuse and optimize them and found that it can effectively improve the accuracy of distinguishing between the brain activity evoked by preferred music and neutral music (up to 98.38%). Our work provides an objective reference based on neuroimaging for the research and application of personalized music therapy.
Highlights
Music is the reproduction of the sound of nature that combines science and art
We found that compared with the resting state, personal preferred music and neutral music significantly enhanced brain activity
To better understand the effect of personal preferred music on brain activity, in this study, we combined EEG and functional near-infrared spectroscopy (fNIRS) technology to simultaneously measure the brain activity of healthy subjects when listening to neutral music and their preferred music, and used the Normalized-ReliefF method to identify the characteristics of the brain activity evoked by the two types of music
Summary
Music is the reproduction of the sound of nature that combines science and art It can be used as a form of entertainment to improve people’s quality of life (Murrock and Higgins, 2010; Niet et al, 2010; Witte et al, 2020; Chen et al, 2021), and as a treatment to cure some neurological diseases, such as Alzheimer’s disease (Reschke-Hernández et al, 2020), stoke (Sarkamo et al, 2008), disorders of consciousness (DOC) (Carrière et al, 2020), Parkinson’s disease (Alfredo, 2015), depression (Chen et al, 2021) and autism (James et al, 2015). Music therapy with personality characteristics helps to make people feel relaxed and improve the mood, behavior and prognosis of patients (Zheng et al, 2020). Jagiello et al (2019) used electroencephalogram (EEG) to measure the brain responses to familiar vs. unfamiliar music and found that fragments of familiar and unfamiliar music can be quickly distinguished in the brain
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