Maladaptive and adaptive emotion regulation through music a behavioral and neuroimaging study of males and females
Music therapists use guided affect regulation in the treatment of mood disorders. However, self-directed uses of music in affect regulation are not fully understood. Some uses of music may have negative effects on mental health, as can non music regulation strategies, such as rumination. Psychological testing and functional magnetic resonance imaging (fMRI) were used explore music listening strategies in relation to mental health. Participants (n = 123) were assessed for depression, anxiety and Neuroticism, and uses of Music in Mood Regulation (MMR). Neural responses to music were measured in the medial prefrontal cortex (mPFC) in a subset of participants (n = 56). Discharge, using music to…
Rhythmic exercises as tools for rehabilitation following cerebellar stroke: A case study integrating music therapy and physiotherapy techniques
Introduction: This article explores the use of music and multisensory stimuli in the construction of compensatory neural networks for motoric functioning in a patient recovering from cerebellar strokes (CS). This study aimed to address the real-world clinical concern of patients having a passive role in therapy, by arousing the client’s interest and self-motivation in rehabilitation. Method: The article presents a case study of a CS survivor, using data derived from rehabilitation sessions combining music therapy techniques with physiotherapy techniques to improve the fluency and accuracy of his motor performance. Qualitative and quantitative data are used to identify, describe, and evaluat…
Conscientiousness and Extraversion relate to responsiveness to tempo in dance
Previous research has shown broad relationships between personality and dance, but the relationship between personality and specific structural features of music has not been explored. The current study explores the influence of personality and trait empathy on dancers' responsiveness to small tempo differences between otherwise musically identical stimuli, measured by difference in the amount in acceleration of key joints. Thirty participants were recorded using motion capture while dancing to excerpts from six popular songs that were time-stretched to be slightly faster or slower than their original tempi. Analysis revealed that higher conscientiousness and lower extraversion both correla…
Differential Effects of Trait Empathy on Functional Network Centrality
Previous research has shown that empathy, a fundamental component of human social functioning, is engaged when listening to music. Neuroimaging studies of empathy processing in music have, however, been limited. fMRI analysis methods based on graph theory have recently gained popularity as they are capable of illustrating global patterns of functional connectivity, which could be very useful in studying complex traits such as empathy. The current study examines the role of trait empathy, including cognitive and affective facets, on whole-brain functional network centrality in 36 participants listening to music in a naturalistic setting. Voxel-wise eigenvector centrality mapping was calculat…
Dance Like Someone is Watching
Although dancing often takes place in social contexts such as a club or party, previous study of such music-induced movement has focused mainly on individuals. The current study explores music-induced movement in a naturalistic dyadic context, focusing on the influence of personality, using five-factor model (FFM) traits, and trait empathy on participants’ responses to their partners. Fifty-four participants were recorded using motion capture while dancing to music excerpts alone and in dyads with three different partners, using a round-robin approach. Analysis using the Social Relations Model (SRM) suggested that the unique combination of each pair caused more variation in participants’ a…
Personality and musical preference using social-tagging in excerpt-selection.
Music preference has been related to individual differences like social identity, cognitive style, and personality, but quantifying music preference can be a challenge. Self-report measures may be too presumptive of shared genre definitions between listeners, while listener ratings of expert-selected music may fail to reflect typical listeners’ genre boundaries. The current study aims to address this by using a social-tagging approach to select music for studying preference. In this study, 2,407 tracks were collected and subsampled from the Last.fm social-tagging service and the EchoNest platform based on attributes such as genre, tempo, and danceability. The set was further subsampled acco…
Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning
Machine learning has been used to accurately classify musical genre using features derived from audio signals. Musical genre, as well as lower-level audio features of music, have also been shown to...
Empathy, Entrainment, and Perceived Interaction in Complex Dyadic Dance Movement
The current study explores how individuals' tendency to empathize with others (trait empathy) modulates interaction and social entrainment in dyadic dance in a free movement context using perceptual and computationally derived measures. Stimuli consisting of 24 point-light animations were created using motion capture data selected from a sample of 99 dyads, based on self-reported trait empathy. Individuals whose Empathy Quotient (EQ) scores were in the top or bottom quartile of all scores were considered to have high or low empathy, respectively, and twelve dyads comprised of four high-high, four low-low, and four high-low empathy combinations were identified. Animations of these dyads were…