Literature DB >> 30728868

Music of brain and music on brain: a novel EEG sonification approach.

Shankha Sanyal1,2, Sayan Nag3, Archi Banerjee1,2, Ranjan Sengupta1, Dipak Ghosh1.   

Abstract

Can we hear the sound of our brain? Is there any technique which can enable us to hear the neuro-electrical impulses originating from the different lobes of brain? The answer to all these questions is YES. In this paper we present a novel method with which we can sonify the electroencephalogram (EEG) data recorded in "control" state as well as under the influence of a simple acoustical stimuli-a tanpura drone. The tanpura has a very simple construction yet the tanpura drone exhibits very complex acoustic features, which is generally used for creation of an ambience during a musical performance. Hence, for this pilot project we chose to study the nonlinear correlations between musical stimulus (tanpura drone as well as music clips) and sonified EEG data. Till date, there have been no study which deals with the direct correlation between a bio-signal and its acoustic counterpart and also tries to see how that correlation varies under the influence of different types of stimuli. This study tries to bridge this gap and looks for a direct correlation between music signal and EEG data using a robust mathematical microscope called Multifractal Detrended Cross Correlation Analysis (MFDXA). For this, we took EEG data of 10 participants in 2 min "control condition" (i.e. with white noise) and in 2 min 'tanpura drone' (musical stimulus) listening condition. The same experimental paradigm was repeated for two emotional music, "Chayanat" and "Darbari Kanada". These are well known Hindustani classical ragas which conventionally portray contrast emotional attributes, also verified from human response data. Next, the EEG signals from different electrodes were sonified and MFDXA technique was used to assess the degree of correlation (or the cross correlation coefficient γx) between the EEG signals and the music clips. The variation of γx for different lobes of brain during the course of the experiment provides interesting new information regarding the extraordinary ability of music stimuli to engage several areas of the brain significantly unlike any other stimuli (which engages specific domains only).

Entities:  

Keywords:  Cross-correlation coefficient; EEG; Hindustani Ragas; MFDXA; Sonification; Tanpura drone

Year:  2018        PMID: 30728868      PMCID: PMC6339862          DOI: 10.1007/s11571-018-9502-4

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  27 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1990-02-01       Impact factor: 11.205

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Authors:  Stefan Koelsch; Thomas Fritz; D Yves V Cramon; Karsten Müller; Angela D Friederici
Journal:  Hum Brain Mapp       Date:  2006-03       Impact factor: 5.038

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Authors:  Boris Podobnik; H Eugene Stanley
Journal:  Phys Rev Lett       Date:  2008-02-27       Impact factor: 9.161

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Authors:  Daniela Sammler; Maren Grigutsch; Thomas Fritz; Stefan Koelsch
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Authors:  Gerold Baier; Thomas Hermann; Ulrich Stephani
Journal:  Clin Neurophysiol       Date:  2007-03-29       Impact factor: 3.708

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Authors:  Wei-Xing Zhou
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-06-18

9.  Increase of universality in human brain during mental imagery from visual perception.

Authors:  Joydeep Bhattacharya
Journal:  PLoS One       Date:  2009-01-05       Impact factor: 3.240

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Authors:  Dan Wu; Chao-Yi Li; De-Zhong Yao
Journal:  PLoS One       Date:  2009-06-15       Impact factor: 3.240

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  1 in total

1.  Long-range temporal correlation in Auditory Brainstem Responses to Spoken Syllable/da/.

Authors:  Marjan Mozaffarilegha; S M S Movahed
Journal:  Sci Rep       Date:  2019-02-11       Impact factor: 4.379

  1 in total

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