Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks

Sheng-Fu Liang, Chi Sheng Liu, Wan Lin Chang, Yu Hsiang Tsao, Li Wei Ko, Chin Teng Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Music provides a tool to study numerous aspects of neuroscience from motion-skill to emotion since listening to and producing music involves many brain functions. The musician's brain is also regarded as an ideal model to investigate plasticity of the human brain. In this paper, an EEG-based neural network is proposed to assess neuroplasticity induced by musical training. A musical chord perception experiment is designed to acquire and compare the behavioral and neural responses of musicians and non-musicians. The ERPs elicited by the consonant and dissonant chords are combined together as the features of the model. The principle component analysis (PCA) is used to reduce feature dimensions and the dimension-reduced features are input to a feedforward neural network to recognize the brain potentials belong to a musician or a non-musician. The accuracy can reach 97% in average for leave-one-out cross validation of six subjects in this experiment. It demonstrates the feasibility of assessing effects of musical training by ERP signals elicited by musical chord perception.

Original languageEnglish
Title of host publication2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages1797-1801
Number of pages5
DOIs
Publication statusPublished - 2009 Nov 18
Event2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States
Duration: 2009 Jun 142009 Jun 19

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Other

Other2009 International Joint Conference on Neural Networks, IJCNN 2009
CountryUnited States
CityAtlanta, GA
Period09-06-1409-06-19

Fingerprint

Brain
Neural networks
Enterprise resource planning
Feedforward neural networks
Electroencephalography
Plasticity
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

Liang, S-F., Liu, C. S., Chang, W. L., Tsao, Y. H., Ko, L. W., & Lin, C. T. (2009). Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. In 2009 International Joint Conference on Neural Networks, IJCNN 2009 (pp. 1797-1801). [5179029] (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2009.5179029
Liang, Sheng-Fu ; Liu, Chi Sheng ; Chang, Wan Lin ; Tsao, Yu Hsiang ; Ko, Li Wei ; Lin, Chin Teng. / Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. 2009 International Joint Conference on Neural Networks, IJCNN 2009. 2009. pp. 1797-1801 (Proceedings of the International Joint Conference on Neural Networks).
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Liang, S-F, Liu, CS, Chang, WL, Tsao, YH, Ko, LW & Lin, CT 2009, Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. in 2009 International Joint Conference on Neural Networks, IJCNN 2009., 5179029, Proceedings of the International Joint Conference on Neural Networks, pp. 1797-1801, 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, GA, United States, 09-06-14. https://doi.org/10.1109/IJCNN.2009.5179029

Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. / Liang, Sheng-Fu; Liu, Chi Sheng; Chang, Wan Lin; Tsao, Yu Hsiang; Ko, Li Wei; Lin, Chin Teng.

2009 International Joint Conference on Neural Networks, IJCNN 2009. 2009. p. 1797-1801 5179029 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Liang S-F, Liu CS, Chang WL, Tsao YH, Ko LW, Lin CT. Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. In 2009 International Joint Conference on Neural Networks, IJCNN 2009. 2009. p. 1797-1801. 5179029. (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2009.5179029