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Cecchetti, G.

Publications and source records attributed to Cecchetti, G..

2 recordsLinked to original sources

Solitary Silence and Social Sounds: Music influences mental imagery, inducing thoughts of social interactions

The COVID-19 pandemic was accompanied by a marked increase in the use of music listening for self-regulation1. During these challenging times, listeners reported they used music to keep them company2; indicating that they may have turned to music for social solace3. However, whether this is simply a figure of speech or an empirically observable effect on social thought was previously unclear. In three experiments, six hundred participants were presented with silence or task-irrelevant music in Italian, Spanish, or Swedish while performing a directed mental-imagery task in which they imagined a journey towards a topographical landmark4. To control for a possible effect of vocals on imagined content, the music was presented with or without vocals to the participants, of which half were native speakers and the other half non-speakers of the respective languages. Music, compared to silence, led to more vivid imagination and changes in imagined content. Specifically, social interaction emerged as a clear thematic cluster in participants descriptions of their imagined content through Latent Dirichlet Allocation. Moreover, Bayesian Mixed effects models revealed that music significantly increased imagined social content compared to silence conditions. This effect remained robust irrespective of vocals or language comprehension. Using stable diffusion, we generated visualisations of participants imagined content. In a fourth experiment, a new group of participants was able to use these visualisations to differentiate between content imagined during music listening and that of the silence condition, but only when listening to the associated music. Results converge to show that music, indeed, can be good company.

animal behavior and cognition↗

Hierarchical syntax models of music predict theta power during music listening

Linguistic research showed that the depth of syntactic embedding is reflected in brain theta power. Here, we test whether this also extends to non-linguistic stimuli, specifically music. We used a hierarchical model of musical syntax to continuously quantify two types of expert-annotated harmonic dependencies throughout a piece of Western classical music: prolongation and preparation. Prolongations can roughly be understood as a musical analogue to linguistic coordination between constituents that share the same function (e.g., pizza and pasta in I ate pizza and pasta). Preparation refers to the dependency between two harmonies whereby the first implies a resolution towards the second (e.g., dominant towards tonic; similar to how the adjective implies the presence of a noun in I like spicy...). Source reconstructed MEG data of sixty-eight participants listening to the musical piece was then analysed. We used Bayesian Mixed Effects models to predict theta envelope in the brain, using the number of open prolongation and preparation dependencies as predictors whilst controlling for audio envelope. We observed that prolongation and preparation both carry independent and distinguishable predictive value for theta band fluctuation in key linguistic areas such as the Angular, Supramarginal, Superior Temporal and Heschls Gyri, or their right-lateralised homologues, with preparation showing additional predictive value for areas associated with the reward system and prediction. Musical expertise further mediated these effects in language-related brain areas. Results show that predictions of precisely formalised music-theoretical models are reflected in the brain activity of listeners.

neuroscience↗