Independent component processes underlying emotions during natural music listening
Rogenmoser L, Zollinger N, Elmer S, Jäncke L
Social cognitive and affective neuroscience · 36 citas
Etiquetas de revisión
Financiación no declaradaSolo mecanismosDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio in vitro o de mecanismos (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Solo mecanismos
Quién lo pagó
- Financiación
- Financiación no declarada
Publicación
- Publicado
- 2016-04-11 · Soc Cogn Affect Neurosci · vol. 11 · número 9 · págs. 1428–1439
- Editorial
- University of Oxford
- Citado
- 57 citas · más que el 88% de estudios similares · 2.4× el promedio de su campo
- Referencias
- 165 trabajos
- Acceso
- Acceso abierto (revista híbrida) · CC-BY-NC
- Áreas de investigación
- Neuroscience and Music Perception · Neural dynamics and brain function · Hearing Loss and Rehabilitation
- Palabras clave
- Psychology, Electroencephalography, Arousal, Valence (chemistry), Lateralization of brain function, Sadness, Cognitive psychology, Brain activity and meditation, Happiness, Active listening, Frontal lobe, Orbitofrontal cortex, Neuroscience, Audiology, Cognition, Communication, Prefrontal cortex, Social psychology
- MeSH
- limbic system, thalamus, cerebral cortex, humans, electroencephalography, theta rhythm, brain mapping, cluster analysis, emotions, happiness, arousal, principal component analysis, music, adult, female, male, young adult
4 autores
- Lars Rogenmoser🇺🇸🇨🇭Beth Israel Deaconess Medical Center; Harvard University; University of Zurich; ETH Zurich
- Nina Zollinger🇨🇭University of Zurich
- Stefan Elmer🇨🇭University of Zurich
- Lutz Jäncke🇸🇦🇨🇭King Abdulaziz University; University of Zurich; Swiss Integrative Center for Human Health
Resumen
El texto original del estudio, en el idioma en que se publicó.
The aim of this study was to investigate the brain processes underlying emotions during natural music listening. To address this, we recorded high-density electroencephalography (EEG) from 22 subjects while presenting a set of individually matched whole musical excerpts varying in valence and arousal. Independent component analysis was applied to decompose the EEG data into functionally distinct brain processes. A k-means cluster analysis calculated on the basis of a combination of spatial (scalp topography and dipole location mapped onto the Montreal Neurological Institute brain template) and functional (spectra) characteristics revealed 10 clusters referring to brain areas typically involved in music and emotion processing, namely in the proximity of thalamic-limbic and orbitofrontal regions as well as at frontal, fronto-parietal, parietal, parieto-occipital, temporo-occipital and occipital areas. This analysis revealed that arousal was associated with a suppression of power in the alpha frequency range. On the other hand, valence was associated with an increase in theta frequency power in response to excerpts inducing happiness compared to sadness. These findings are partly compatible with the model proposed by Heller, arguing that the frontal lobe is involved in modulating valenced experiences (the left frontal hemisphere for positive emotions) whereas the right parieto-temporal region contributes to the emotional arousal.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY-NC).
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