Literature DB >> 20300041

Electroencephalographic dynamics of musical emotion perception revealed by independent spectral components.

Yuan-Pin Lin1, Jeng-Ren Duann, Jyh-Horng Chen, Tzyy-Ping Jung.   

Abstract

This study explores the electroencephalographic (EEG) correlates of emotional experience during music listening. Independent component analysis and analysis of variance were used to separate statistically independent spectral changes of the EEG in response to music-induced emotional processes. An independent brain process with equivalent dipole located in the fronto-central region exhibited distinct δ-band and θ-band power changes associated with self-reported emotional states. Specifically, the emotional valence was associated with δ-power decreases and θ-power increases in the frontal-central area, whereas the emotional arousal was accompanied by increases in both δ and θ powers. The resultant emotion-related component activations that were less interfered by the activities from other brain processes complement previous EEG studies of emotion perception to music.

Mesh:

Year:  2010        PMID: 20300041     DOI: 10.1097/WNR.0b013e32833774de

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  12 in total

1.  Independent component processes underlying emotions during natural music listening.

Authors:  Lars Rogenmoser; Nina Zollinger; Stefan Elmer; Lutz Jäncke
Journal:  Soc Cogn Affect Neurosci       Date:  2016-04-11       Impact factor: 3.436

2.  Modulation of induced frontocentral theta (Fm-θ) event-related (de-)synchronisation dynamics following mindfulness-based cognitive therapy in Major Depressive Disorder.

Authors:  Poppy L A Schoenberg; Anne E M Speckens
Journal:  Cogn Neurodyn       Date:  2014-05-07       Impact factor: 5.082

Review 3.  A Systematic Review for Human EEG Brain Signals Based Emotion Classification, Feature Extraction, Brain Condition, Group Comparison.

Authors:  Mohamed Hamada; B B Zaidan; A A Zaidan
Journal:  J Med Syst       Date:  2018-07-24       Impact factor: 4.460

4.  Time course of EEG oscillations during repeated listening of a well-known aria.

Authors:  Lutz Jäncke; Jürg Kühnis; Lars Rogenmoser; Stefan Elmer
Journal:  Front Hum Neurosci       Date:  2015-07-20       Impact factor: 3.169

5.  Improving EEG-Based Emotion Classification Using Conditional Transfer Learning.

Authors:  Yuan-Pin Lin; Tzyy-Ping Jung
Journal:  Front Hum Neurosci       Date:  2017-06-27       Impact factor: 3.169

6.  Lingering Sound: Event-Related Phase-Amplitude Coupling and Phase-Locking in Fronto-Temporo-Parietal Functional Networks During Memory Retrieval of Music Melodies.

Authors:  Yi-Li Tseng; Hong-Hsiang Liu; Michelle Liou; Arthur C Tsai; Vincent S C Chien; Shuoh-Tyng Shyu; Zhi-Shun Yang
Journal:  Front Hum Neurosci       Date:  2019-05-22       Impact factor: 3.169

7.  Experiencing affective music in eyes-closed and eyes-open states: an electroencephalography study.

Authors:  Yun-Hsuan Chang; You-Yun Lee; Keng-Chen Liang; I-Ping Chen; Chen-Gia Tsai; Shulan Hsieh
Journal:  Front Psychol       Date:  2015-08-07

8.  Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis.

Authors:  Yuan-Pin Lin; Jeng-Ren Duann; Wenfeng Feng; Jyh-Horng Chen; Tzyy-Ping Jung
Journal:  J Neuroeng Rehabil       Date:  2014-02-28       Impact factor: 4.262

9.  Fusion of electroencephalographic dynamics and musical contents for estimating emotional responses in music listening.

Authors:  Yuan-Pin Lin; Yi-Hsuan Yang; Tzyy-Ping Jung
Journal:  Front Neurosci       Date:  2014-05-01       Impact factor: 4.677

10.  The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy.

Authors:  Romain Grandchamp; Arnaud Delorme
Journal:  Comput Intell Neurosci       Date:  2016-09-06
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