Neural plasticity to musical performance training: A meta-analysis study

doi:10.3724/SP.J.1042.2017.01877

Advances in Psychological Science ›› 2017, Vol. 25 ›› Issue (11): 1877-1887.doi: 10.3724/SP.J.1042.2017.01877

• Special Column for Psychology of Music • Previous Articles Next Articles

Neural plasticity to musical performance training: A meta-analysis study

ZHOU Linshu¹; ZHAO Huaiyang²; JIANG Cunmei^1,3

(¹ Music College, Shanghai Normal University, Shanghai 200234, China) (² College of Education, Shanghai Normal University, Shanghai 200234, China) (³Institute of Psychology, Shanghai Normal University, Shanghai 200234, China)

Received:2017-03-05 Online:2017-11-15 Published:2017-09-25
Contact: JIANG Cunmei, E-mail: cunmeijiang@126.com E-mail: E-mail: cunmeijiang@126.com
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Abstract

Abstract: Musical performance is one of the most complex and sophisticated skills in humans. The present study used the activation likelihood estimation, a coordinate-based quantitative meta-analysis approach, to investigate the neural plasticity induced by the training of musical performance. The results showed that brain differences between musical performers and nonmusicians existed in the regions of left cerebellar, bilateral precentral gyri, bilateral superior temporal gyri, left inferior frontal gyrus, bilateral inferior parietal lobule, and right insula. These brain regions are related to auditory processing, motor processing, and multimodal integration. Future study would distinguish the neural adaptation induced by different kinds of musical performance training to explore completely relationship between musical performance and brain plasticity.

Key words: musical performance, training, neural plasticity, meta-analysis, activation likelihood estimation

CLC Number:

B842

ZHOU Linshu, ZHAO Huaiyang, JIANG Cunmei. Neural plasticity to musical performance training: A meta-analysis study[J]. Advances in Psychological Science, 2017, 25(11): 1877-1887.

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Neural plasticity to musical performance training: A meta-analysis study

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