IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i13p7063-d587050.html
   My bibliography  Save this article

Regulation of Mindfulness-Based Music Listening on Negative Emotions Related to COVID-19: An ERP Study

Author

Listed:
  • Xiaolin Liu

    (Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
    School of Psychology, Southwest University, Chongqing 400715, China
    Institute of Chinese Music Aesthetic Psychology and Basic Theory of Music Performance, Chongqing Institute of Foreign Studies, Chongqing 401120, China
    Xiaolin Liu and Yong Liu contributed equally to this work.)

  • Yong Liu

    (Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
    School of Psychology, Southwest University, Chongqing 400715, China
    Xiaolin Liu and Yong Liu contributed equally to this work.)

  • Huijuan Shi

    (Institute of Chinese Music Aesthetic Psychology and Basic Theory of Music Performance, Chongqing Institute of Foreign Studies, Chongqing 401120, China)

  • Ling Li

    (Institute of Chinese Music Aesthetic Psychology and Basic Theory of Music Performance, Chongqing Institute of Foreign Studies, Chongqing 401120, China)

  • Maoping Zheng

    (Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
    School of Music, Southwest University, Beibei, Chongqing 400715, China)

Abstract

The current study aimed to explore the behavioral and neural correlates of mindfulness-based music listening regulation of induced negative emotions related to COVID-19 using the face–word Stroop task. Eighty-five young adults visited the laboratory and were randomly assigned to three groups: a calm music group (CMG: n = 28), a happy music group (HMG: n = 30), and a sad music group (SMG: n = 27). Negative emotions were induced in all participants using a COVID-19 video, followed by the music intervention condition. Participants underwent the face–word Stroop tasks during which event-related potentials (ERPs) were recorded. The N2, N3, P3, and late positive component (LPC) were investigated. The results showed that calm music and happy music effectively regulate young adults’ induced negative emotions, while young adults experienced more negative emotions when listening to sad music; the negative mood states at the post-induction phase inhibited the reaction of conflict control in face–word Stroop tasks, which manifested as lower accuracy (ACC) and slower reaction times (RTs). ERP results showed negative mood states elicited greater N2, N3, and LPC amplitudes and smaller P3 amplitudes. Further studies are needed to develop intervention strategies to enhance emotion regulation related to COVID-19 for other groups.

Suggested Citation

  • Xiaolin Liu & Yong Liu & Huijuan Shi & Ling Li & Maoping Zheng, 2021. "Regulation of Mindfulness-Based Music Listening on Negative Emotions Related to COVID-19: An ERP Study," IJERPH, MDPI, vol. 18(13), pages 1-19, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:7063-:d:587050
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/13/7063/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/13/7063/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jenny M Groarke & Michael J Hogan, 2019. "Listening to self-chosen music regulates induced negative affect for both younger and older adults," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-19, June.
    2. Michael McAleer, 2020. "Prevention Is Better Than the Cure: Risk Management of COVID-19," JRFM, MDPI, vol. 13(3), pages 1-5, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2020. "Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis," IJERPH, MDPI, vol. 17(18), pages 1-35, September.
    2. Ramalingam Shanmugam & Lawrence Fulton & Jose Betancourt & Gerardo J. Pacheco, 2022. "Indexing Inefficacy of Efforts to Stop Escalation of COVID Mortality," Mathematics, MDPI, vol. 10(24), pages 1-11, December.
    3. Gabriele Cervino & Luca Fiorillo & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Rosa De Stefano & Riccardo Laudicella & Sergio Baldari & Michele Gaeta & Marco Cicciù, 2020. "SARS-CoV-2 Persistence: Data Summary up to Q2 2020," Data, MDPI, vol. 5(3), pages 1-16, September.
    4. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    5. Larissa Batrancea, 2021. "The Nexus between Financial Performance and Equilibrium: Empirical Evidence on Publicly Traded Companies from the Global Financial Crisis Up to the COVID-19 Pandemic," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    6. Huang, Chiou-Jye & Shen, Yamin & Kuo, Ping-Huan & Chen, Yung-Hsiang, 2022. "Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    7. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "The Future of Tourism in the COVID-19 Era," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 218-230, September.
    8. John Hamilton, 2020. "The Strategic Change Matrix and Business Sustainability across COVID-19," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    9. Imdad, Kashif & Sahana, Mehebub & Rana, Md Juel & Haque, Ismail & Patel, Priyank Pravin & Pramanik, Malay, 2020. "The COVID-19 pandemic's footprint in India: An assessment on the district-level susceptibility and vulnerability," MPRA Paper 100727, University Library of Munich, Germany.
    10. Luca Fiorillo & Gabriele Cervino & Marco Matarese & Cesare D’Amico & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Antonio Moschella & Alessia La Bruna & Giovanni Luca Romano & Riccardo , 2020. "COVID-19 Surface Persistence: A Recent Data Summary and Its Importance for Medical and Dental Settings," IJERPH, MDPI, vol. 17(9), pages 1-10, April.
    11. Alessandro Capocchi & Paola Orlandini & Stefano Amelio, 2021. "Hospital risk management at the time of Covid-19: An analysis of the Lombardy Region," MECOSAN, FrancoAngeli Editore, vol. 0(118), pages 97-116.
    12. Urszula Tymoszuk & Neta Spiro & Rosie Perkins & Adele Mason-Bertrand & Kate Gee & Aaron Williamon, 2021. "Arts engagement trends in the United Kingdom and their mental and social wellbeing implications: HEartS Survey," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-35, March.
    13. Michael McAleer, 2020. "Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 70-84, March.
    14. Lauren K. Fink & Lindsay A. Warrenburg & Claire Howlin & William M. Randall & Niels Chr. Hansen & Melanie Wald-Fuhrmann, 2021. "Viral tunes: changes in musical behaviours and interest in coronamusic predict socio-emotional coping during COVID-19 lockdown," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    15. Natalia Maslii & Maryna Demianchuk & Igor Britchenko & Maksym Bezpartochnyi, 2022. "Modeling Migration Changes According To Alternative Scenarios in the Context of the Global COVID-19 Pandemic: The Example of Ukraine," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 58-71.
    16. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2020. "Risk and Financial Management of COVID-19 in Business, Economics and Finance," JRFM, MDPI, vol. 13(5), pages 1-7, May.
    17. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    18. Wunong Zhang & Yuxin Wang & Lili Yang & Chuanyi Wang, 2020. "Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak," JRFM, MDPI, vol. 13(3), pages 1-6, March.
    19. Jozef Lukáč & Cecília Olexová & Zuzana Kudlová, 2022. "Factors predicting companies’ crisis in the engineering industry from the point of view of financial analysis," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-21, February.
    20. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "A Charter for Sustainable Tourism after COVID-19," Sustainability, MDPI, vol. 12(9), pages 1-4, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:7063-:d:587050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.