Beyond immediate health risks, the COVID-19 pandemic poses a variety of stressors, which may require expensive or unavailable strategies during a pandemic (e.g., therapy, socialising). Here, we asked whether musical engagement is an effective strategy for socio-emotional coping. During the first lockdown period (April–May 2020), we surveyed changes in music listening and making behaviours of over 5000 people, with representative samples from three continents. More than half of respondents reported engaging with music to cope. People experiencing increased negative emotions used music for solitary emotional regulation, whereas people experiencing increased positive emotions used music as a proxy for social interaction. Light gradient-boosted regressor models were used to identify the most important predictors of an individual’s use of music to cope, the foremost of which was, intriguingly, their interest in “coronamusic.” Overall, our results emphasise the importance of real-time musical responses to societal crises, as well as individually tailored adaptations in musical behaviours to meet socio-emotional needs.

Beyond immediate health risks, the COVID-19 pandemic poses a variety of stressors, which may require expensive or unavailable strategies during a pandemic (e.g., therapy, socialising). Here we asked whether musical engagement is an effective strategy for socio-emotional coping. During the first lockdown period (April-May 2020), we surveyed changes in music listening and making behaviours of over 5000 people, with representative samples from 3 continents. More than half of respondents reported using music to cope. People experiencing increased negative emotions used music for solitary emotional regulation, whereas people experiencing increased positive emotions used music as a proxy for social interaction. Light gradient-boosted regressor models were used to identify the most important predictors of an individual’s use of music to cope, the foremost of which was, intriguingly, their interest in the novel genre of “coronamusic.” Overall, our results emphasise the importance of real-time musical responses to societal crises, as well as individually tailored adaptations in musical behaviours to meet socio-emotional needs.

While there is an increasing shift in cognitive science to study perception of naturalistic stimuli, this study extends this goal to naturalistic contexts by assessing physiological synchrony across audience members in a concert setting. Cardiorespiratory, skin conductance, and facial muscle responses were measured from participants attending live string quintet performances of full-length works from Viennese Classical, Contemporary, and Romantic styles. The concert was repeated on three consecutive days with different audiences. Using inter-subject correlation (ISC) to identify reliable responses to music, we found that highly correlated responses depicted typical signatures of physiological arousal. By relating physiological ISC to quantitative values of music features, logistic regressions revealed that high physiological synchrony was consistently predicted by faster tempi (which had higher ratings of arousing emotions and engagement), but only in Classical and Romantic styles (rated as familiar) and not the Contemporary style (rated as unfamiliar). Additionally, highly synchronised responses across all three concert audiences occurred during important structural moments in the music—identified using music theoretical analysis—namely at transitional passages, boundaries, and phrase repetitions. Overall, our results show that specific music features induce similar physiological responses across audience members in a concert context, which are linked to arousal, engagement, and familiarity.

Rhythm is a ubiquitous feature of music that induces specific neural modes of processing. In this paper, we assess the potential of a stimulus-driven linear oscillator model (Tomic & Janata, 2008) to predict dynamic attention to complex musical rhythms on an instant-by-instant basis. We use perceptual thresholds and pupillometry as attentional indices against which to test our model pre- dictions. During a deviance detection task, participants listened to continuously looping, multi- instrument, rhythmic patterns, while being eye-tracked. Their task was to respond anytime they heard an increase in intensity (dB SPL). An adaptive thresholding algorithm adjusted deviant in- tensity at multiple probed temporal locations throughout each rhythmic stimulus. The oscillator model predicted participants’ perceptual thresholds for detecting deviants at probed locations, with a low temporal salience prediction corresponding to a high perceptual threshold and vice versa. A pupil dilation response was observed for all deviants. Notably, the pupil dilated even when partic- ipants did not report hearing a deviant. Maximum pupil size and resonator model output were sig- nificant predictors of whether a deviant was detected or missed on any given trial. Besides the evoked pupillary response to deviants, we also assessed the continuous pupillary signal to the rhythmic patterns. The pupil exhibited entrainment at prominent periodicities present in the stimuli and followed each of the different rhythmic patterns in a unique way. Overall, these results repli- cate previous studies using the linear oscillator model to predict dynamic attention to complex auditory scenes and extend the utility of the model to the prediction of neurophysiological signals, in this case the pupillary time course; however, we note that the amplitude envelope of the acoustic patterns may serve as a similarly useful predictor. To our knowledge, this is the first paper to show entrainment of pupil dynamics by demonstrating a phase relationship between musical stimuli and the pupillary signal.