Scale-free Brain Music

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    I. Publications about scale-free brain music 

  1. D Wu, C Li, D Yao.(2009) Scale-free music of the brain. PloS one 4 (6), e5915.

  2. D Wu, C Li, C Zhou, D Yao.(2010)Music composition from the brain signal: representing the mental state by music. Computational intelligence and neuroscience 2010, 267671.

  3. J Lu, D Wu, H Yang, C Luo, C Li, D Yao.(2012) Scale-free brain-wave music from simultaneously EEG and fMRI recordings. PloS one 7 (11), e49773.

  4. D Wu, C Li, D Yao.(2013) An ensemble with the Chinese pentatonic scale using electroencephalogram from both hemispheres. Neuroscience bulletin 29 (5), 581-587.

  5. D Wu, C Li, D Yao.(2013) Scale-Free Brain Quartet: Artistic Filtering of Multi-Channel Brainwave Music. PloS one 8 (5), e64046.

  6. D Wu, C Li, J Liu, J Lu, D Yao. (2014) Scale-free brain ensemble modulated by phase synchronization. Journal of Zhejiang University.      

  7. J Lu, D Wu, D Yao. (2015)  Using a scale-free method to convert brain activity into music. Supplement to  Science – Advances in Computational Psychophysiology, 47-48.      

  8. D Yao, M Chen, J Lu, D Guo.  (2015) Neural mass model-based scale-free EEG music. Advances in Cognitive  Neurodynamics (V), 455-460.      

  9. 卢竞. (2016) 听见大脑的声音. 科学画报 (6), 34-35. [PDF]

II. Publications about music cognition

  1. Y Lai, D Yao.(2011) Effect of Intensity Accents on the Detection of Inter-Onset Interval Variations. NeuroReport 22(15), 749-752.

  2. Y Lai, Y Tian, D Yao.(2011) MMN Evidence for Asymmetry of IOI shortening and lengthening at behavioral indifference tempo. Brain Research 1367, 170-180.

  3. Y Lai, W Ma, S Duan, D Yao.(2011) Involuntary Processing of Timbre A mismatch negativity study. International Journal of Bioelectromagnetism, 13(4), 212-216.

  4. J Li, Y Lai, C Luo, L Yao, D Yao. (2011) Differences in Brain Structures between Female Musicians and Non-Musicians. International Journal of Bioelectromagnetism 13(4), 274-277.

  5. D Gong, J Hu, D Yao.(2012) Partial information can be transmitted in an auditory channel: Inferences from lateralized readiness potentials. Psychophysiology 49(4), 499-503.

  6. D Gong, W Ma, J Hu, Q Hu, Y Lai, D Yao.(2012) The flexibility of partial information transmission in the auditory channel: The role of perceptual discriminability. Psychophysiology 49(10), 1394-1400.

  7. C Luo, Z Guo, Y Lai, W Liao, Q Liu, KM Kendrick, D Yao , H Li.(2012) Musical training induces functional plasticity in perceptual and motor networks: insights from resting-state fMRI. PLoS ONE 7(5),e36568.

  8. W Ma, Y Lai, Y Yuan, D Wu, D Yao.(2012) Electroencephalogram variations in the a band during tempo-specific perception. Neuroreport 23(3), 125-128.

  9. W Ma, Y Lai, X Zheng, H Yang, D Yao.(2013) Electroencephalogram c-band activity during the perception of music key levels. NeuroReport 24(4), 186-189.

  10. D Gong, W Ma, KM Kendrick, Q Hu, D Yao.(2013) How cognitive plasticity resolves the brain’s information processing dilemma. Scientific reports 3, 2860.

  11. J Lu, G Li, D Gong, Q Hu.(2014) Partial information transmission can be found in music attributes. Neuroreport 25(3), 190-193.

  12. H Yang, W Ma, D Gong, J Hu, D Yao.(2014) A longitudinal study on children's music training experience and academic development. Scientific reports 4, 5854.

  13. J Li, C Luo, Y Peng, Q Xie, J Gong, L Dong, Y Lai, H Li, D Yao.(2014) Probabilistic diffusion tractography reveals improvement of structural network in musicians. PLoS ONE 9 (8), e105508.

  14. C Luo, S Tu, Y Peng, S Gao, J Li, L Dong, G Li, Y Lai, H Li, D Yao.(2014) Long-term effects of musical training and functional plasticity in salience system. Neural Plasticity, 180138.

  15. G Li, H He, M Huang, X Zhang, J Lu, Y Lai, C Luo, D Yao. (2015) Identifying enhanced cortico-basal ganglia loops associated with prolonged dance training. Scientific Reports 5, 10271.

  16. J Lu, H Yang, X Zhang, H He, C Luo, D Yao. (2015) The brain functional state of music creation: an fMRI study of composers. Scientific Reports 5, 12277.

  17. D Wu, K Kendrick, D  Levitin, C Li, D Yao.(2015) Bach is the father of harmony: revealed by a 1/f  fluctuation analysis across musical genres. PLoS ONE 10(11), e0142431.

  18. Y Xing, Y Xia, K Kendrick, X Liu, M Wang, D Wu, H Yang, W Jing, D Guo, D Yao.(2016) Mozart, Mozart Rhythm and Retrograde Mozart Effects: Evidences from Behaviours and Neurobiology Bases. Scientific Reports 6, 18744.

  19. H Yang, J Lu, D Gong, D Yao.(2016) How do musical tonality and experience affect visual working memory? Neuroreport 27(2), 94-98.

  20. Y Xing, W Chen, Y Wang, W Jing, S Gao, D Guo, Y Xia, D Yao.(2016) Music exposure improves spatial cognition by enhancing the BDNF level of dorsal hippocampal subregions in the developing rats. Brain research bulletin 121, 131-137.

  21. Y Xing, Y Qin, W Jing, Y Zhang, Y Wang, D Guo, Y Xia, D Yao.(2016) Exposure to Mozart music reduces cognitive impairment in pilocarpine-induced status epilepticus rats. Cognitive neurodynamics 10(1), 23-30.

Music is a form of art, which is from the brain and simultaneously affects the brain. To great research interest, the relationships between music and human have been concerned in both science fields and art fields. The electroencephalogram(EEG) can monitor brain activities, and the brainwaves are similar with music in signal format. Since they are both the results of the brain activities, they would obey the same laws. The Key Laboratory of NeuroInformation of Ministry of Education discovered that they obeyed the same scale-free law. Therefore, we can use it to establish the scientific relationship between brain signal and music.

This research was reported by many scientific media around the world, such as China Central Television, Chinese Acedemy of Science, Time, Wired, Scientific American. Brain music may have great influence on clinical application such as monitoring, neurofeedback.