Fiona Miller Phd researcher at the University of Sussex. Under the supervision of Professor Hugo Critchley and Dr Alice Eldridge
(Click on the image to read more about the author(s).)
Investigations into the effects of music and sound on biomarkers that reflect self-regulation have previously focused on music attributes such as tempo, dynamics, musical structure, and rhythm. However, the potential that specific frequencies of sound modulate the autonomic nervous system has, until recently, largely been ignored within psychophysiological investigations (Feneberg et al., 2020). The potential of frequency-modulated music to be applied as an intervention for the adaption of self-regulatory mechanisms and pain management is becoming a rich topic of interest (Lewis et al., 2011, Porges et al., 2013, Porges et al., 2014, Schoen et al., 2015, Olbrich et al., 2015, Feneberg et al., 2020). Investigations into the effects of music and sound on biomarkers that reflect self-regulation have previously focused on music attributes such as tempo, dynamics, musical structure, and rhythm. However, the potential that specific frequencies of sound modulate the autonomic nervous system has, until recently, largely been ignored within psychophysiological investigations (Feneberg et al., 2020). The potential of frequency-modulated music to be applied as an intervention for the adaption of self-regulatory mechanisms and pain management is becoming a rich topic of interest (Lewis et al., 2011, Porges et al., 2013, Porges et al., 2014, Schoen et al., 2015, Olbrich et al., 2015, Feneberg et al., 2020). However, conflicting findings within the literature remain, e.g. low-register sounds have been seen to both evoke a fear response (Porges & Rossetti, 2018) and promote improved autonomic function (Sigurdardóttir et al., 2019). Scholars in music and emotion cite that context is required to interpret physiological data (Warrenburg, 2020). The following poster shares the novel experimental design of a mixed-methods lab-based study that combines constructed emotion theories with psychophysiology methods, using micro phenomenology self-interviews (Petitmengin & Bitbol, 2009) to unpick the perceived physiological changes in heart rate variability under exposure to explicitly designed sound stimuli.
In order to watch the video recording of this presentation or access the livestream link, please log in to the user account you used to register for IAMM2022 or go back to explore our conference page or register here.