北京生物醫(yī)學工程

音調(diào)對音樂情緒反應影響的腦電功能連接研究

Investigation of the effect of pitch on emotional responses to music using EEG functional connectivity

作者：華汪純連海鵬李穎潔

單位：上海大學通信與信息工程學院（上海 200444）  上海大學生命科學學院（上海 200444） 上海大學國際教育學院（上海 200444）<br />通信作者：李穎潔。 E-mail: [email protected]

分類號：R318.04

出版年·卷·期（頁碼）：2023·42·1（9-15）

摘要：

目的探究在傾聽不同情緒屬性的音樂時，音調(diào)的變化對大腦功能連通性的影響，以期揭示音調(diào)對音樂情緒反應影響的神經(jīng)機制。方法選取能分別誘發(fā)出積極情緒和消極情緒的音樂并制作其升調(diào)和降調(diào)版本，采集10名健康大學生（男、女各5名）聽不同版本音樂時的32通道的頭皮腦電數(shù)據(jù)，最后分成delta、theta、alpha和beta四個頻段計算衡量不同電極間功能連接強弱的指標加權(quán)相位滯后指數(shù)（weighted phase lag index，wPLI），分析不同條件下腦功能連通性的差異。結(jié)果聽消極音樂時，降調(diào)版本與原版相比在delta頻段下的功能連接顯著增強。聽積極音樂時，在alpha和beta頻段下，與原版相比升高音調(diào)顯著增強了功能連接，而降低音調(diào)顯著減弱了功能連接。結(jié)論降低消極音樂的音調(diào)使得大腦低頻功能連接增加，產(chǎn)生了更放松的音樂體驗，表現(xiàn)為效價評分升高；音調(diào)的改變會導致聽情緒音樂時的大腦功能連通性主要在alpha和beta頻段發(fā)生變化，表明受試者的音樂感知受到影響，從而導致行為學評分改變。

Objective To explore the effect of pitch changes on brain functional connectivity within different emotional music,and to reveal the neural mechanism of the impact of pitch on music emotional response. Methods Firstly, we selected the music that can induce positive emotion and negative emotion respectively and made their rising pitch and falling pitch versions. Then we collected the 32 channels scalp EEG data of 10 healthy college students (5 males and 5 females) listening to different versions of music. Finally, the clean data were divided into four frequency bands of delta, theta, alpha, beta to calculate weighted phase lag index (wPLI) to measure the strength of functional connectivity between different electrodes and we analyzed the difference of functional connectivity between different conditions. Results When listening to negative music, the functional connectivity of the falling pitch version was significantly enhanced in the delta band compared with the original version. When listening to positive music, rising the pitch significantly enhanced the functional connectivity in alpha and beta bands compared with the original version, while reducing the pitch significantly weakened the functional connectivity. Conclusion Reducing the pitch of negative music can increase the low-frequency functional connectivity of the brain and lead to a more relaxed music experience, which shows as the increase of valence score. Moreover, the pitch changes can alter the brain functional connectivity mainly in alpha and beta bands when listening to emotional music. It indicates that the brain music perception is affected and led to the change of behavioral score.

參考文獻：

[1] Balasubramanian G, Kanagasabai A, Mohan J, et al. Music induced emotion using wavelet packet ?decomposition—An EEG study[J]. Biomedical Signal Processing and Control, 2018, 42:115-128.?
[2] Siedliecki S L, Good M. Effect of music on power, pain, depression and disability[J]. Journal of Advanced Nursing, 2006, 54(5): 553-562.
[3] Bradt J, Dileo C, Shim M. Music interventions for preoperative anxiety[J]. Cochrane Database of Systematic Reviews, 2013 (6): CD006908.
[4] Castillo-Perez S, Gomez-Perez V, Velasco M C, et al. Effects of music therapy on depression compared with psychotherapy[J]. The Arts in Psychotherapy, 2010, 37(5): 387-390.
[5] Wedin L. A multidimensional study of perceptual‐emotional qualities in music[J]. Scandinavian Journal of Psychology, 1972, 13(1): 241-257.
[6] Schellenberg EG, Krysciak AM, Campbell RJ. Perceiving emotion in melody: Interactive effects of pitch and rhythm[J]. Music Perception, 2000, 18(2): 155-171.
[7] Friedman R S. Reexploring the effects of relative pitch cues on perceived sadness in an unconventionally tuned musical scale[J]. Psychomusicology: Music, Mind, and Brain, 2018, 28(2): 108.
[8] Soontreekulpong N, Jirakittayakorn N, Wongsawat Y. Investigation of various manipulated music tempo for reducing negative emotion using beta EEG index[C]//2018 International Electrical Engineering Congress (iEECON). Krabi，Thailand：IEEE, 2018: 1-4.
[9] Juslin PN, Laukka P. Expression, perception, and induction of musical emotions: a review and a questionnaire study of everyday listening[J]. Journal of New Music Research, 2004, 33(3):217-238.?
[10] Grieder M, Koenig T, Kinoshita T, et al. Discovering EEG resting state alterations of semantic dementia[J]. Clinical neurophysiology, 2016, 127(5): 2175-2181.
[11] Trochidis K, Bigand E. Investigation of the effect of mode and tempo on emotional responses to music using EEG power asymmetry[J]. Journal of ?Psychophysiology, 2013.
[12] 朱嘉誠, 李穎潔. 基于去趨勢波動分析的不同特征音樂刺激下腦電特性[J]. 上海大學學報(自然科學版), 2021, 27(3): 514-524.
Zhu JC, Li YJ. Electroencephalogram features based on detrended fluctuation analysis of different features of music stimulation[J].Journal of Shanghai University (Natural Science Edition),2021, 27(3): 514-524.
[13] Bhattacharya J, Petsche H, Pereda E. Interdependencies in the spontaneous EEG while listening to music[J]. International Journal of Psychophysiology, 2001, 42(3): 287-301.
[14] Bhattacharya J, Petsche H. Phase synchrony analysis of EEG during music perception reveals changes in functional connectivity due to musical expertise[J]. Signal processing, 2005, 85(11): 2161-2177.
[15] Moezzi B, Pratti L M, Hordacre B, et al. IBRO, 2019. Characterization of young and old adult brains: an EEG functional connectivity analysis[J]. Neuroscience, 2019, 422: 230–239.
[16] Sareen E, Singh L, Gupta A, et al. Functional brain connectivity analysis in intellectual developmental disorder during music perception[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(11): 2420-2430.
[17] Flores-Gutierrez EO, Diaz JL, Barrios FA, et al. Metabolic and electric brain patterns during pleasant and unpleasant emotions induced by music masterpieces[J]. International Journal of Psychophysiology, 2007, 65(1): 69-84.
[18] Stam C J, Nolte G, Daffertshofer A. Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources[J]. Human Brain Mapping, 2007, 28(11): 1178–1193.
[19] Vinck M, Oostenveld R, Van Wingerden M, et al. An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias[J]. Neuroimage, 2011, 55(4): 1548-1565.
[20] Abhang PA, Gawali B, Mehrotra SC. Introduction to EEG-and speech-based emotion recognition[M]. London ：Academic Press, 2016.
[21] Harmony T. The functional significance of delta oscillations in cognitive processing[J]. Frontiers in Integrative Neuroscience, 2013, 7: 83.
[22] Gruzelier J. A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration[J]. Cognitive processing, 2009, 10(1): 101-109.
[23] Ray W J, Cole H W. EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes[J]. Science, 1985, 228(4700): 750-752.
[24] Jancke L, Alahmadi N. Detection of independent functional networks during music listening using electroencephalogram and sLORETA-ICA[J]. Neuroreport, 2016, 27(6): 455-461.
[25] Wu J, Zhang J, Liu C, et al. Graph theoretical analysis of EEG functional connectivity during music perception[J]. Brain Research, 2012, 1483: 71-81.
[26] Alipour ZM, Mohammadkhani S, Khosrowabadi R. Alteration of perceived emotion and brain functional connectivity by changing the musical rhythmic pattern[J]. Experimental Brain Research, 2019, 237(10): 2607-2619.

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