Literature DB >> 11812395

Interdependencies in the spontaneous EEG while listening to music.

J Bhattacharya1, H Petsche, E Pereda.   

Abstract

We studied the patterns of interdependency between different brain regions during the performance of higher cognitive functions. Our goal was to check the existence in these patterns of both task-related differences (e.g. listening to music vs. rest) and training-related differences (musicians vs. non-musicians). For this purpose, a non-linear measure, called similarity index (S.I.), was used to detect asymmetric interdependencies between different brain regions by means of EEG signals. Relatively active and passive regions of the brain were found where the degree of activity was represented by excited degrees of freedom. The S.I. obtained during listening to different kinds of music was compared statistically with the S.I. with eyes closed, and significant changes (P< or = 0.05) were entered into schematic brain maps. A topographical representation of the S.I. yielded differences in the interdependency while performing different cognitive tasks. The results demonstrate the occurrence of task-related differences in both groups of subjects. Furthermore, subjects with musical training possessed significantly higher degrees of interdependencies than such without musical training while listening to music but not to text. We conclude that the new measure can be successfully applied for studying the dynamical co-operation between cortical areas during higher cognitive functioning.

Mesh:

Year:  2001        PMID: 11812395     DOI: 10.1016/s0167-8760(01)00153-2

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  9 in total

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2.  Drawing on mind's canvas: differences in cortical integration patterns between artists and non-artists.

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5.  Spatially Nonlinear Interdependence of Alpha-Oscillatory Neural Networks under Chan Meditation.

Authors:  Pei-Chen Lo; Chih-Hao Chang
Journal:  Evid Based Complement Alternat Med       Date:  2013-12-17       Impact factor: 2.629

6.  Variability in prefrontal hemodynamic response during exposure to repeated self-selected music excerpts, a near-infrared spectroscopy study.

Authors:  Saba Moghimi; Larissa Schudlo; Tom Chau; Anne-Marie Guerguerian
Journal:  PLoS One       Date:  2015-04-02       Impact factor: 3.240

7.  Task Context Influences Brain Activation during Music Listening.

Authors:  Andjela Markovic; Jürg Kühnis; Lutz Jäncke
Journal:  Front Hum Neurosci       Date:  2017-06-29       Impact factor: 3.169

8.  Mozart k.545 mimics mozart k.448 in reducing epileptiform discharges in epileptic children.

Authors:  Lung-Chang Lin; Mei-Wen Lee; Ruey-Chang Wei; Hin-Kiu Mok; Hui-Chuan Wu; Chin-Lin Tsai; Rei-Cheng Yang
Journal:  Evid Based Complement Alternat Med       Date:  2012-12-05       Impact factor: 2.629

9.  Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation.

Authors:  M A Porta-Garcia; R Valdes-Cristerna; O Yanez-Suarez
Journal:  Comput Intell Neurosci       Date:  2018-03-21
  9 in total

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