What makes music memorable? Relationships between acoustic musical features and music-evoked emotions and memories in older adults

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http://hdl.handle.net/10138/333476

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Salakka , I J , 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 ' , PLoS One , vol. 16 , no. 5 , 0251692 . https://doi.org/10.1371/journal.pone.0251692

Title: What makes music memorable? Relationships between acoustic musical features and music-evoked emotions and memories in older adults
Author: Salakka, Ilja Juhana; Pitkäniemi, Anni; Pentikäinen, Emmi; Mikkonen, Kari; Saari, Pasi; Toiviainen, Petri; Särkämö, Teppo
Contributor: University of Helsinki, Department of Psychology and Logopedics
University of Helsinki, Cognitive Brain Research Unit
University of Helsinki, Brain, Music and Learning
University of Helsinki, Department of Psychology and Logopedics
Date: 2021-05-14
Language: eng
Number of pages: 18
Belongs to series: PLoS One
ISSN: 1932-6203
URI: http://hdl.handle.net/10138/333476
Abstract: Background 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.
Subject: 515 Psychology
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