Literature DB >> 14977200

The "Mozart effect": an electroencephalographic analysis employing the methods of induced event-related desynchronization/synchronization and event-related coherence.

Norbert Jausovec1, Katarina Habe.   

Abstract

The event-related responses of 18 individuals were recorded while they were listening to 3 music clips of 6 s duration which were repeated 30 times each. The music clips differed in the level of their complex structure, induced mood, musical tempo and prominent frequency. They were taken from Mozart's sonata (K. 448), and Brahms' Hungarian dance (no. 5). The third clip was a simplified version of the theme taken from Haydn's symphony (no. 94) played by a computer synthesizer. Significant differences in induced event-related desynchronization between the 3 music clips were only observed in the lower-1 alpha band which is related to attentional processes. A similar pattern was observed for the coherence measures. While respondents listened to the Mozart clip, coherence in the lower alpha bands increased more, whereas in the gamma band a less pronounced increase was observed as compared with the Brahms and Haydn clips. The clustering of the three clips based on EEG measures distinguished between the Mozart clip on the one hand, and the Haydn and Brahms clips on the other, even though the Haydn and Brahms clips were at the opposite extremes with regard to the mood they induced in listeners, musical tempo, and complexity of structure. This would suggest that Mozart's music--with no regard to the level of induced mood, musical tempo and complexity--influences the level of arousal. It seems that modulations in the frequency domain of Mozart's sonata have the greatest influence on the reported neurophysiological activity.

Mesh:

Year:  2003        PMID: 14977200     DOI: 10.1023/b:brat.0000006331.10425.4b

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  7 in total

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2.  Adjunct effect of music therapy on cognition in Alzheimer's disease in Taiwan: a pilot study.

Authors:  Chien-Hsun Li; Ching-Kuan Liu; Yuan-Han Yang; Mei-Chuan Chou; Chun-Hung Chen; Chiou-Lian Lai
Journal:  Neuropsychiatr Dis Treat       Date:  2015-02-04       Impact factor: 2.570

3.  Response of cardiac autonomic modulation after a single exposure to musical auditory stimulation.

Authors:  Lucas L Ferreira; Luiz Carlos M Vanderlei; Heraldo L Guida; Luiz Carlos de Abreu; David M Garner; Franciele M Vanderlei; Celso Ferreira; Vitor E Valenti
Journal:  Noise Health       Date:  2015 Mar-Apr       Impact factor: 0.867

4.  Neural Correlates of Phrase Rhythm: An EEG Study of Bipartite vs. Rondo Sonata Form.

Authors:  Arturo Martínez-Rodrigo; Alicia Fernández-Sotos; José Miguel Latorre; José Moncho-Bogani; Antonio Fernández-Caballero
Journal:  Front Neuroinform       Date:  2017-04-27       Impact factor: 4.081

5.  Mathematical Modeling of Brain Activity under Specific Auditory Stimulation.

Authors:  Marius Georgescu; Laura Haidar; Alina-Florina Serb; Daniela Puscasiu; Daniel Georgescu
Journal:  Comput Math Methods Med       Date:  2021-04-21       Impact factor: 2.238

6.  Stress Recovery Effects of High- and Low-Frequency Amplified Music on Heart Rate Variability.

Authors:  Yoshie Nakajima; Naofumi Tanaka; Tatsuya Mima; Shin-Ichi Izumi
Journal:  Behav Neurol       Date:  2016-08-30       Impact factor: 3.342

7.  Short-term enhancement of cognitive functions and music: A three-channel model.

Authors:  Ashish Gupta; Braj Bhushan; Laxmidhar Behera
Journal:  Sci Rep       Date:  2018-10-19       Impact factor: 4.379

  7 in total

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