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dc.contributor.authorSalakka, Ilja
dc.contributor.authorPitkäniemi, Anni
dc.contributor.authorPentikäinen, Emmi
dc.contributor.authorMikkonen, Kari
dc.contributor.authorSaari, Pasi
dc.contributor.authorToiviainen, Petri
dc.contributor.authorSärkämö, Teppo
dc.date.accessioned2021-05-18T04:40:24Z
dc.date.available2021-05-18T04:40:24Z
dc.date.issued2021
dc.identifier.citationSalakka, I., Pitkäniemi, A., Pentikäinen, E., Mikkonen, K., Saari, P., Toiviainen, P., & Särkämö, T. (2021). What makes music memorable? : Relationships between acoustic musical features and music-evoked emotions and memories in older adults. <i>PLoS ONE</i>, <i>16</i>(5), Article e0251692. <a href="https://doi.org/10.1371/journal.pone.0251692" target="_blank">https://doi.org/10.1371/journal.pone.0251692</a>
dc.identifier.otherCONVID_73075107
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/75697
dc.description.abstractBackground and objectives Music has a unique capacity to evoke both strong emotions and vivid autobiographical memories. Previous music information retrieval (MIR) studies have shown that the emotional experience of music is influenced by a combination of musical features, including tonal, rhythmic, and loudness features. Here, our aim was to explore the relationship between music-evoked emotions and music-evoked memories and how musical features (derived with MIR) can predict them both. Methods Healthy older adults (N = 113, age ≥ 60 years) participated in a listening task in which they rated a total of 140 song excerpts comprising folk songs and popular songs from 1950s to 1980s on five domains measuring the emotional (valence, arousal, emotional intensity) and memory (familiarity, autobiographical salience) experience of the songs. A set of 24 musical features were extracted from the songs using computational MIR methods. Principal component analyses were applied to reduce multicollinearity, resulting in six core musical components, which were then used to predict the behavioural ratings in multiple regression analyses. Results All correlations between behavioural ratings were positive and ranged from moderate to very high (r = 0.46–0.92). Emotional intensity showed the highest correlation to both autobiographical salience and familiarity. In the MIR data, three musical components measuring salience of the musical pulse (Pulse strength), relative strength of high harmonics (Brightness), and fluctuation in the frequencies between 200–800 Hz (Low-mid) predicted both music-evoked emotions and memories. Emotional intensity (and valence to a lesser extent) mediated the predictive effect of the musical components on music-evoked memories. Conclusions The results suggest that music-evoked emotions are strongly related to music-evoked memories in healthy older adults and that both music-evoked emotions and memories are predicted by the same core musical features.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.ispartofseriesPLoS ONE
dc.rightsCC BY 4.0
dc.subject.otheremotions
dc.subject.othermusic cognition
dc.subject.othermusic perception
dc.subject.othermemory
dc.subject.otherbioacoustics
dc.subject.otherelderly
dc.subject.otherentropy
dc.subject.otherregression analysis
dc.titleWhat makes music memorable? : Relationships between acoustic musical features and music-evoked emotions and memories in older adults
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202105182968
dc.contributor.laitosMusiikin, taiteen ja kulttuurin tutkimuksen laitosfi
dc.contributor.laitosDepartment of Music, Art and Culture Studiesen
dc.contributor.oppiaineMusiikkitiedefi
dc.contributor.oppiaineMusicologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.relation.issn1932-6203
dc.relation.numberinseries5
dc.relation.volume16
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 Salakka et al.
dc.rights.accesslevelopenAccessfi
dc.subject.ysotunteet
dc.subject.ysomuisti (kognitio)
dc.subject.ysomusiikkipsykologia
dc.subject.ysoikääntyneet
dc.subject.ysomuistot
dc.subject.ysomusiikki
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3485
jyx.subject.urihttp://www.yso.fi/onto/yso/p2607
jyx.subject.urihttp://www.yso.fi/onto/yso/p13805
jyx.subject.urihttp://www.yso.fi/onto/yso/p2433
jyx.subject.urihttp://www.yso.fi/onto/yso/p13859
jyx.subject.urihttp://www.yso.fi/onto/yso/p1808
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1371/journal.pone.0251692
jyx.fundinginformationFinancial support for the work was provided by the Academy of Finland (grants 299044, 305264, 306625, and 327996) and the European Research Council (ERC-StG grant 803466).


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