Towards tunable consensus clustering for studying functional brain connectivity during affective processing

In the past decades, neuroimaging of humans has gained a position of status within neuroscience, and data-driven approaches and functional connectivity analyses of functional magnetic resonance imaging (fMRI) data are increasingly favored to depict the complex architecture of human brains. However, the reliability of these findings is jeopardized by too many analysis methods and sometimes too few samples used, which leads to discord among researchers. We propose a tunable consensus clustering paradigm that aims at overcoming the clustering methods selection problem as well as reliability issues in neuroimaging by means of first applying several analysis methods (three in this study) on multiple datasets and then integrating the clustering results. To validate the method, we applied it to a complex fMRI experiment involving affective processing of hundreds of music clips. We found that brain structures related to visual, reward, and auditory processing have intrinsic spatial patterns of coherent neuroactivity during affective processing. The comparisons between the results obtained from our method and those from each individual clustering algorithm demonstrate that our paradigm has notable advantages over traditional single clustering algorithms in being able to evidence robust connectivity patterns even with complex neuroimaging data involving a variety of stimuli and affective evaluations of them. The consensus clustering method is implemented in the R package “UNCLES” available on http://cran.r-project.org/web/packages/UNCLES/index.html

Tune in to your emotions: a robust personalized affective music player

The emotional power of music is exploited in a personalized affective music player (AMP) that selects music for mood enhancement. A biosignal approach is used to measure listeners’ personal emotional reactions to their own music as input for affective user models. Regression and kernel density estimation are applied to model the physiological changes the music elicits. Using these models, personalized music selections based on an affective goal state can be made. The AMP was validated in real-world trials over the course of several weeks. Results show that our models can cope with noisy situations and handle large inter-individual differences in the music domain. The AMP augments music listening where its techniques enable automated affect guidance. Our approach provides valuable insights for affective computing and user modeling, for which the AMP is a suitable carrier application

From Motion to Emotion : Accelerometer Data Predict Subjective Experience of Music

Music is often discussed to be emotional because it reflects expressive movements in audible form. Thus, a valid approach to measure musical emotion could be to assess movement stimulated by music. In two experiments we evaluated the discriminative power of mobile-device generated acceleration data produced by free movement during music listening for the prediction of ratings on the Geneva Emotion Music Scales (GEMS-9). The quality of prediction for different dimensions of GEMS varied between experiments for tenderness (R12(first experiment) = 0.50, R22(second experiment) = 0.39), nostalgia (R12 = 0.42, R22 = 0.30), wonder (R12 = 0.25, R22 = 0.34), sadness (R12 = 0.24, R22 = 0.35), peacefulness (R12 = 0.20, R22 = 0.35) and joy (R12 = 0.19, R22 = 0.33) and transcendence (R12 = 0.14, R22 = 0.00). For others like power (R12 = 0.42, R22 = 0.49) and tension (R12 = 0.28, R22 = 0.27) results could be almost reproduced. Furthermore, we extracted two principle components from GEMS ratings, one representing arousal and the other one valence of the experienced feeling. Both qualities, arousal and valence, could be predicted by acceleration data, indicating, that they provide information on the quantity and quality of experience. On the one hand, these findings show how music-evoked movement patterns relate to music-evoked feelings. On the other hand, they contribute to integrate findings from the field of embodied music cognition into music recommender systems

Exploring a rationale for choosing to listen to sad music when feeling sad

Choosing to listen to self-identified sad music after experiencing negative psychological circumstances seems paradoxical given the commonly-held view that people are motivated to seek a positive affective state when distressed. We examined the motivations people described to listen to music they identified as sad, particularly when experiencing negative circumstances, and the self-reported effects of this activity. We asked adults to respond to an online survey and analyzed their narrative reports using a modified grounded theory approach. Responses were received from 65 adults across five countries. The process that underlies choosing to listen to sad music as well as the self-regulatory strategies and functions of sad music were identified. The music-selection strategies included: connection; selecting music based on memory triggers; high aesthetic value; and message communicated. The functions of these strategies were in the domains of (re-)experiencing affect, cognitive, social, retrieving memories, friend, distraction, and mood enhancement. We additionally modelled the underlying psychological process that guides sad music listening behaviour and the effects of listening. These findings present core insights into the dynamics and value of choosing to listen to self-identified sad music when coping with negative psychological circumstances

From Sound to Significance: Exploring the Mechanisms Underlying Emotional Reactions to Music

A common approach to studying emotional reactions to music is to attempt to obtain direct links between musical surface features such as tempo and a listener’s responses. however, such an analysis ultimately fails to explain why emotions are aroused in the listener. in this article we explore an alternative approach, which aims to account for musical emotions in terms of a set of psychological mechanisms that are activated by different types of information in a musical event. this approach was tested in 4 experiments that manipulated 4 mechanisms (brain stem reflex, contagion, episodic memory, musical expectancy) by selecting existing musical pieces that featured information relevant for each mechanism. the excerpts were played to 60 listeners, who were asked to rate their felt emotions on 15 scales. skin conductance levels and facial expressions were measured, and listeners reported subjective impressions of relevance to specific mechanisms. results indicated that the target mechanism conditions evoked emotions largely as predicted by a multimechanism framework and that mostly similar effects occurred across the experiments that included different pieces of music. we conclude that a satisfactory account of musical emotions requires consideration of how musical features and responses are mediated by a range of underlying mechanisms

Spontaneous Music-Evoked Autobiographical Memories in Individuals Experiencing Depression

Listening to music often triggers strong memories of events from our past, which influence how we affectively experience music listening and can therefore contribute to music’s therapeutic capacity. The aim of this study was to examine the valence and content of spontaneous music-evoked autobiographical memories (MEAMs) in listeners with self-reported depression, who typically demonstrate negatively biased autobiographical memory. Eighteen depressed and 21 controls participated in a music-listening experiment where they listened to a personalized music stimulus, described their memories, and thereafter rated the valence of these memories and of their induced affect. Participants’ ratings were statistically analysed, while the memory content was analysed with the use of a computerized text-analysis method and with a qualitative thematic analysis. Quantitative ratings of valence revealed a significant difference between groups: half of the depressed, compared to none of the controls, recalled a negative memory, and these were experienced with negative induced affect. The qualitative thematic analysis of the memory descriptions revealed that both depressed and control participants’ memories could be categorized into three first-level themes: (1) personal, (2) relationships, and (3) activities. Depressed participants’ negative memories were mainly located in the ‘relationships’ theme and included memories about loss and dysfunctional relationships, such as bullying, and in the ‘personal’ theme, including memories of mental health struggles and coping with music. Approximately a third of depressed participants recalled positive memories, and these were either related to loving family relationships or to activities. Limitations concerning the small sample size and implications regarding the function of music listening for depressed individuals are discussed.peerReviewe

The effect of memory in inducing pleasant emotions with musical and pictorial stimuli

Music is known to evoke emotions through a range of mechanisms, but empirical investigation into the mechanisms underlying different emotions is sparse. This study investigated how affective experiences to music and pictures vary when induced by personal memories or mere stimulus features. Prior to the experiment, participants were asked to select eight types of stimuli according to distinct criteria concerning the emotion induction mechanism and valence. In the experiment, participants (N = 30) evaluated their affective experiences with the self-chosen material. EEG was recorded throughout the session. The results showed certain interaction effects of mechanism (memory vs. stimulus features), emotional valence of the stimulus (pleasant vs. unpleasant), and stimulus modality (music vs. pictures). While effects were mainly similar in music and pictures, the findings suggest that when personal memories are involved, stronger positive emotions were experienced in the context of music, even when the music was experienced as unpleasant. Memory generally enhanced social emotions specifically in pleasant conditions. As for sadness and melancholia, stimulus features did not evoke negative experiences; however, these emotions increased strongly with the involvement of memory, particularly in the condition of unpleasant music. Analysis of EEG-data corroborated the findings by relating frontomedial theta activity to memory-evoking material