Trial reportPloS one2021
What makes music memorable? Relationships between acoustic musical features and music-evoked emotions and memories in older adults.
Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 49 citations in OpenAlex.
- The new Flemings now sing: a methodological evaluation of gamification and citizen science strategies to raise awareness on antimicrobial resistance.Immunology and cell biology · 2026Article
- Article
- Exploring the nature of music-evoked autobiographical memories in healthy aging: A mixed-methods study.Musicae scientiae : the journal of the European Society for the Cognitive Sciences of Music · 2025Article
- Feasibility Trial Protocol for a Remote Intentional Music Listening Intervention to Support Mental Health in Individuals with Chronic Stroke.medRxiv : the preprint server for health sciences · 2025Article
- Music-evoked reactivation during continuous perception is associated with enhanced subsequent recall of naturalistic events.bioRxiv : the preprint server for biology · 2025Article
- Qualities of music-evoked autobiographical memories are associated with auditory features of the memory-evoking music.PloS one · 2025Article
- Emotional and musical factors combined with song-specific age predict the subjective autobiographical saliency of music in older adults.Psychology of music · 2024Article
- The Impacts of Background Music on the Effects of Loving-Kindness Meditation on Positive Emotions.Behavioral sciences (Basel, Switzerland) · 2024Article
- Multifaceted Music Therapy for Depression in Dementia: A Network Meta-Analysis of Randomized Controlled Trials.European journal of investigation in health, psychology and education · 2024Article
- A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications.Frontiers in neuroscience · 2024Review
- Soundscapes of morality: Linking music preferences and moral values through lyrics and audio.PloS one · 2023Article
- Investigating the role of involuntary retrieval in music-evoked autobiographical memories.Consciousness and cognition · 2022Article
- 'Playlist for Life' at the end of life: a mixed-methods feasibility study of a personalised music listening intervention in the hospice setting.Pilot and feasibility studies · 2022Article
- 2024 IEEE 5th International Symposium on the Internet of Sounds. International Symposium on the Internet of Sounds (5th : 2024 : Erlangen, Germany)Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesMusic 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.
methodsHealthy 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.
resultsAll 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.
conclusionsThe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.