Search results for " Music"

The discursive construction of authenticity : resources, scales and polycentricity in Finnish hip hop culture

2014

Madrigali esemplari: analitica gesualdiana prospettica

2008

Il saggio presenta una riflessione su come accostarsi analiticamente ai madrigali di Carlo Gesualdo da Vemosa. Nella prima parte del saggio è presentata una rassegna critica dei contributi più significativi all'analisi gesualdina, comparsi nel Novecento. Nella seconda parte viene discussa l'analisi di madrigali gesualdiani condotta da Padre Giambattista Martini nel suo "Esemplare" (1774-1775), e ne vengono evidenziati gli aspetti che si rivelano ancora utili all'approccio analitico contemporaneo.

Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music

2007

A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the…

Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition

2021

AbstractPrevious researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Cortical electroencephalography (EEG) oscillations act as coordinators to connect different brain regions, and various assemblies of oscillations can form different networks to support different cognitive tasks. Studies have demonstrated that the dysconnectivity of EEG oscillatory networks is related with MDD. In this study, we investigated the oscillatory hyperconnectivity and hypoconnectivity networks in MDD under a naturalistic and continuous stimuli…

Maladaptive music listening strategies are modulated by individual traits

2022

Music listening is a great resource for mental well-being, pleasure, and self-regulation, but it may also be maladaptive. Depression, for instance, has been shown to relate to music use that is characterized by rumination, avoidance, and mood worsening. However, we know little of the role of individual differences in such maladaptive music use. Hence, this study focused on examining the role of personality, empathic traits, emotional contagion, and the types of musical reward as predictors of maladaptive music listening. Participants ( N = 318) answered an online survey comprising measures for the abovementioned traits in addition to the Healthy-Unhealthy Music Scale (HUMS) as a measure of…

Spontaneous Music-Evoked Autobiographical Memories in Individuals Experiencing Depression

2020

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 w…

Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization

2021

Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder (MDD) patients and healthy controls (HC) when freely listening to music. Constrained tensor factorization not only preserve…

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

2021

To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscil…

Bridging Art and Mathematics: Introduction

2017

There is a long history of interdisciplinary discussions on the relations between science, mathematics, geometry, art, aesthetics, and artistic praxes. These discussions remain active and pertinent today: the aforementioned relations are explored in various scientific communities, journals, and at conferences. Globally, numerous scholars and artists share a common interest in combining creative thinking, intellectual curiosity, and aesthetic sensibility in their work. Various experts working in different scientific and technological fields are inspired by phenomena that combine mathematical and artistic qualities. Respectively, several contemporary artists, graphic designers, craftsmen, and…

"Mirrors"

2021

[no abstract]