The Neural Correlates of Food Preference among Music Kinds

Author:

Jing Yuanluo1,Xu Ziyuan2,Pang Yazhi1,Liu Xiaolin3,Zhao Jia14,Liu Yong14

Affiliation:

1. Faculty of Psychology, Southwest University, Chongqing 400715, China

2. Division of Psychology and Language Sciences, University College London, London WC1H 0AP, UK

3. School of Music, Southwest University, Chongqing 400715, China

4. Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China

Abstract

The calorie and taste choices of food have been shown to be related to the external environment, including music. Previous studies have mostly focused on manipulating basic auditory parameters, with few scholars exploring the impact of complex musical parameters on food selection. This study explored the effects of different kinds of music (classical, rock, jazz, and hip-hop) on food liking based on the calories (high and low) and taste (sweet and salty) using event-related potentials (ERPs). Twenty-four participants (8 males, 16 females) were recruited from Southwest University, China to participate in the food liking task using a Likert seven-point rating and simultaneously recording EEG signals (N2, P2, N3, and LPC). This study used repeated-measures analyses of covariances and found that the score of the high-calorie foods was greater than that of the low-calorie foods. Additionally, results revealed that the score in classical music was greatest for sweet foods, while there was no difference among music kinds in the salty foods. The ERP results showed that P2 amplitudes were greater for sweet foods than those for the salty foods. N2 amplitudes for the salty foods were greater than those for the sweet foods during rock music; in addition, N2 amplitudes during hip-hop music were greatest for sweet foods. However, N2 amplitudes during rock music were the greatest for salty foods. The results also revealed that N2 amplitudes during hip-hop music were greater than those during jazz music. This study provides unique operational insights for businesses.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

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