Evidence map›Paper›PMID 40861526›Full record

ArticleMusicae scientiae : the journal of the European Society for the Cognitive Sciences of Music2025

Exploring the nature of music-evoked autobiographical memories in healthy aging: A mixed-methods study.

Mia O'Shea, Ilja Salakka, Anni Pitkäniemi, Emmi Pentikäinen, Petri Toiviainen, Teppo Särkämö

Abstract read
In one paragraph

Article in Musicae scientiae : the journal of the European Society for the Cognitive Sciences of Music, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mia O'SheaUniversity of Helsinki, Finland.
Ilja SalakkaUniversity of Helsinki, Finland.ORCID https://orcid.org/0000-0001-7489-3647
Anni PitkäniemiUniversity of Helsinki, Finland.
Emmi PentikäinenUniversity of Helsinki, Finland.
Petri ToiviainenUniversity of Jyväskylä, Finland.
Teppo SärkämöUniversity of Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autobiographical memories play a significant role in shaping a sense of self and are essential for normal functioning on a daily basis. Music-evoked autobiographical memories (MEAMs) are memories of past events that are triggered by music, often involuntarily. In this study, we had two aims: (1) to explore the qualitative characteristics of MEAMs in healthy aging and (2) to analyze possible relationships between types of MEAM and the emotions evoked by music. We played 140 excerpts from songs from the four decades between 1950 and 1990, and folk songs, to 82 healthy adults aged 60-86 years and collected their MEAMs, expressed in their own words. We applied content analysis to the data and categorized them manually. Participants rated the valence, arousal, and intensity of emotions evoked by each excerpt. We conducted a mixed-effects logistic regression analysis to identify relationships between participants' MEAMs and ratings. Participants frequently reported music-related activities such as singing, dancing, and listening, and specific people and places, in their MEAMs. The excerpts evoked more autobiographical memories from participants' youth than from any other periods in their lives. Our analysis of the relationships between types of MEAM and the emotions evoked by music suggest a variety of emotional profiles. The choice of methods emphasized ecological validity and the findings provide a new perspective on the nature of MEAMs in healthy aging.

Indexed as

autobiographical memorycontent analysislisteningmusic-evoked emotionsreminiscence bump

Identifiers

PMID40861526
PMCPMC12377674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.