Literature DB >> 23852557

Brain oscillations and electroencephalography scalp networks during tempo perception.

Yin Tian1, Weiyi Ma, Chunyang Tian, Peng Xu, Dezhong Yao.   

Abstract

In the current study we used electroencephalography (EEG) to investigate the relation between musical tempo perception and the oscillatory activity in specific brain regions, and the scalp EEG networks in the theta, alpha, and beta bands. The results showed that the theta power at the frontal midline decreased with increased arousal level related to tempo. The alpha power induced by original music at the bilateral occipital-parietal regions was stronger than that by tempo-transformed music. The beta power did not change with tempo. At the network level, the original music-related alpha network had high global efficiency and the optimal path length. This study was the first to use EEG to investigate multi-oscillatory activities and the data support the tempo-specific timing hypothesis.

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Year:  2013        PMID: 23852557      PMCID: PMC5561834          DOI: 10.1007/s12264-013-1352-9

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.203


  16 in total

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3.  Dynamics of brain activity in motor and frontal cortical areas during music listening: a magnetoencephalographic study.

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4.  Electroencephalogram variations in the α band during tempo-specific perception.

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Journal:  Neuroreport       Date:  2012-02-15       Impact factor: 1.837

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Review 8.  New vistas for alpha-frequency band oscillations.

Authors:  Satu Palva; J Matias Palva
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Journal:  Psychophysiology       Date:  2007-03       Impact factor: 4.016

10.  Relational invariance of expressive microstructure across global tempo changes in music performance: an exploratory study.

Authors:  B H Repp
Journal:  Psychol Res       Date:  1994
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  6 in total

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Journal:  Sci Rep       Date:  2018-04-17       Impact factor: 4.379

5.  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

6.  The Influence of Listening to Music on Adults with Left-behind Experience Revealed by EEG-based Connectivity.

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  6 in total

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