Literature DB >> 23604597

An ensemble with the Chinese pentatonic scale using electroencephalogram from both hemispheres.

Dan Wu1, Chao-Yi Li, De-Zhong Yao.   

Abstract

To listen to brain activity as a piece of music, we previously proposed scale-free brainwave music (SFBM) technology, which translated the scalp electroencephalogram (EEG) into musical notes according to the power law of both the EEG and music. In this study, the methodology was further extended to ensemble music on two channels from the two hemispheres. EEG data from two channels symmetrically located on the left and right hemispheres were translated into MIDI sequences by SFBM, and the EEG parameters modulated the pitch, duration and volume of each note. Then, the two sequences were filtered into an ensemble with two voices: the pentatonic scale (traditional Chinese music) or the heptatonic scale (standard Western music). We demonstrated differences in harmony between the two scales generated at different sleep stages, with the pentatonic scale being more harmonious. The harmony intervals of this brain ensemble at various sleep stages followed the power law. Compared with the heptatonic scale, it was easier to distinguish the different stages using the pentatonic scale. These results suggested that the hemispheric ensemble can represent brain activity by variations in pitch, tempo and harmony. The ensemble with the pentatonic scale sounds more consonant, and partially reflects the relations of the two hemispheres. This can be used to distinguish the different states of brain activity and provide a new perspective on EEG analysis.

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Mesh:

Year:  2013        PMID: 23604597      PMCID: PMC5561954          DOI: 10.1007/s12264-013-1334-y

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


  10 in total

Review 1.  A method to standardize a reference of scalp EEG recordings to a point at infinity.

Authors:  D Yao
Journal:  Physiol Meas       Date:  2001-11       Impact factor: 2.833

2.  Proposed supplements and amendments to 'A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects', the Rechtschaffen & Kales (1968) standard.

Authors:  T Hori; Y Sugita; E Koga; S Shirakawa; K Inoue; S Uchida; H Kuwahara; M Kousaka; T Kobayashi; Y Tsuji; M Terashima; K Fukuda; N Fukuda
Journal:  Psychiatry Clin Neurosci       Date:  2001-06       Impact factor: 5.188

3.  A comparative study of different references for EEG default mode network: the use of the infinity reference.

Authors:  Yun Qin; Peng Xu; Dezhong Yao
Journal:  Clin Neurophysiol       Date:  2010-06-12       Impact factor: 3.708

4.  Optimized single electroencephalogram channel sleep staging in rats.

Authors:  Guangzhan Fang; Yang Xia; Chunpeng Zhang; Tiejun Liu; Dezhong Yao
Journal:  Lab Anim       Date:  2010-07-07       Impact factor: 2.471

5.  Transient changes in frontal alpha asymmetry as a measure of emotional and physical distress during sleep.

Authors:  Elisabeth Flo; Iris Steine; Tone Blågstad; Janne Grønli; Ståle Pallesen; Chiara M Portas
Journal:  Brain Res       Date:  2010-10-01       Impact factor: 3.252

6.  Event-based sonification of EEG rhythms in real time.

Authors:  Gerold Baier; Thomas Hermann; Ulrich Stephani
Journal:  Clin Neurophysiol       Date:  2007-03-29       Impact factor: 3.708

7.  Music composition from the brain signal: representing the mental state by music.

Authors:  Dan Wu; Chaoyi Li; Yu Yin; Changzheng Zhou; Dezhong Yao
Journal:  Comput Intell Neurosci       Date:  2010-03-11

8.  The distribution of EEG frequencies in REM and NREM sleep stages in healthy young adults.

Authors:  R Armitage
Journal:  Sleep       Date:  1995-06       Impact factor: 5.849

9.  Scale-free brain-wave music from simultaneously EEG and fMRI recordings.

Authors:  Jing Lu; Dan Wu; Hua Yang; Cheng Luo; Chaoyi Li; Dezhong Yao
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

10.  Scale-free music of the brain.

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

  10 in total

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