Relationships between everyday music listening habits and involuntary musical imagery: Does music listening condition musical imagery?

2017 ◽  
Vol 27 (4) ◽  
pp. 312-326 ◽  
Author(s):  
Ioanna Filippidi ◽  
Renee Timmers
2021 ◽  
Vol 12 ◽  
Author(s):  
Emily Rose Hurwitz ◽  
Carol Lynne Krumhansl

The term “listening niche” refers to the contexts in which people listen to music including what music they are listening to, with whom, when, where, and with what media. The first experiment investigates undergraduate students’ music listening niches in the initial COVID-19 lockdown period, 4 weeks immediately after the campus shut down abruptly. The second experiment explores how returning to a hybrid semester, the “new normal,” further affected these listening habits. In both experiments, the participants provided a list of their most frequently listened-to songs during the respective period of time. From these, they identified one song that seemed most associated with this period, their “signature song,” and stated why this song seemed relevant. These reasons were coded on nine underlying themes. Three clusters were found to underlie the themes: (1) emotional responses (2) memory associations, and (3) discovery of new music. We identified songs and reasons for selecting them that represented the three clusters and related these to the lyrical content. Compared to before the pandemic, participants in both experiments report listening more in general and on Spotify, but there were no differences in listening between lockdown and the new normal. Whom they were listening with shifted overtime from family members to significant others and finally to other friends and roommates. These results demonstrate how students listen to and find new music that is meaningful to them during this unprecedented pandemic.


Author(s):  
Stefani S. Pires ◽  
Adriana V. Ribeiro ◽  
Antonio M. de Sousa ◽  
Allan E. S. Freitas ◽  
Leobino N. Sampaio

2002 ◽  
Vol 50 (4) ◽  
pp. 333-342 ◽  
Author(s):  
Joyce Eastlund Gromko ◽  
Christine Russell

The purpose of our study was to explore relationships among children's aural perception, music listening condition, and the accuracy of children's reading of listening maps. The aural discrimination skills of 41 elementary children were tested using the Intermediate Measures of Musical Audiation (IMMA). The children were then systematically assigned to one of three listening conditions: passive, unstructured active, or structured active. After listening to European art music according to their assigned condition, every child traced a graphic listening map while listening to the music a second time. Results of an ANCOVA with accuracy of map reading as the dependent variable, listening condition as factor, and IMMA as covariate, showed a significant effect for the IMMA [F (1, 37) = 8.86, p < .01], but no significant effect for listening condition. In a separate analysis, IMMA scores were shown to be related to piano experience. When group means for accuracy of map reading were compared by piano experience, children with piano experience had a significantly higher mean accuracy score of 48.25, SD = 18.75 (n = 16) compared to children with no piano experience, M = 32.44, SD = 17.39 (n = 25), t = 2.76, p < .01. Our results support previous research in which investigators found that music experience explained accuracy of music-reading ability in children and adults.


2021 ◽  
pp. 095679762198972
Author(s):  
Michael K. Scullin ◽  
Chenlu Gao ◽  
Paul Fillmore

Many people listen to music for hours every day, often near bedtime. We investigated whether music listening affects sleep, focusing on a rarely explored mechanism: involuntary musical imagery (earworms). In Study 1 ( N = 199, mean age = 35.9 years), individuals who frequently listen to music reported persistent nighttime earworms, which were associated with worse sleep quality. In Study 2 ( N = 50, mean age = 21.2 years), we randomly assigned each participant to listen to lyrical or instrumental-only versions of popular songs before bed in a laboratory, discovering that instrumental music increased the incidence of nighttime earworms and worsened polysomnography-measured sleep quality. In both studies, earworms were experienced during awakenings, suggesting that the sleeping brain continues to process musical melodies. Study 3 substantiated this possibility by showing a significant increase in frontal slow oscillation activity, a marker of sleep-dependent memory consolidation. Thus, some types of music can disrupt nighttime sleep by inducing long-lasting earworms that are perpetuated by spontaneous memory-reactivation processes.


Author(s):  
Lars Ole Bonde

Lars Ole Bonde considers musical imagery in the context of music therapy sessions and focuses on the Bonny Method of guided imagery and music as a well-documented example of music imagery. While Bonde mainly focuses on listening in clinical settings, he argues that imagery listening should be seen as a health resource in everyday listening settings. Taking in perspectives from neuroaffective theory, Bonde analyzes clinical material and evidence from the analysis of EEG data and shows how music therapy theory—as a specific tradition within musicology—can contribute to research in music listening through a greater understanding of multimodal imagery in such listening.


2021 ◽  
Vol 6 (4) ◽  
pp. 795-802
Author(s):  
Barış GÜRPINAR ◽  
Hülya TUNA ◽  
Kübra TUZ ◽  
Elif TEKİN GÜRGEN ◽  
Nursen İLÇİN

Author(s):  
Danique E. Paping ◽  
Jantien L. Vroegop ◽  
Simone P. C. Koenraads ◽  
Carlijn M. P. le Clercq ◽  
André Goedegebure ◽  
...  

2016 ◽  
Vol 20 (2) ◽  
pp. 193-206 ◽  
Author(s):  
Nicolás Mongiardino Koch ◽  
Ignacio M. Soto

2011 ◽  
Vol 30 (1) ◽  
pp. 64-69 ◽  
Author(s):  
Evelyn K. Orman

University students ( N = 30) individually listened to the Billboard 100 top-ranked musical selection for their most and least liked musical genre. Two minutes of silence preceded each musical listening condition, and heart rate variability (HRV) was recorded throughout. All HRV measures decreased during music listening as compared with silence. Dependent t-tests found significant decreases for beats per minute ( p < .01, like; p < .001, dislike) and low frequency ( p < .01, like; p < .05, dislike). A significant decrease in low-frequency/high-frequency ratio ( p < .05) was found for the dislike–music listening condition. A sign test showed no significant difference in the number of mean readings that increased or decreased for either music listening condition. Findings may support previous research that HRV decreases during mentally engaging tasks but may not support previous research that HRV readings could be a measure of emotional responding.


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