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Musical experience, plasticity, and maturation: issues in measuring developmental change using EEG and MEG
Author(s) -
Trainor Laurel J.
Publication year - 2012
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2012.06444.x
Subject(s) - musical , set (abstract data type) , electroencephalography , psychology , field (mathematics) , similarity (geometry) , cognitive science , diversity (politics) , cognitive psychology , computer science , sociology , neuroscience , artificial intelligence , art , visual arts , image (mathematics) , mathematics , anthropology , pure mathematics , programming language
The neuroscientific study of musical behavior has become a significant field of research during the last decade, and reports of this research in the popular press have caught the imagination of the public. This enterprise has also made it evident that studying the development of musical behavior can make a significant contribution to important questions in the field, such as the evolutionary origins of music, cross‐cultural similarity and diversity, the effects of experience on musical processing, and relations between music and other domains. Studying musical development brings a unique set of methodological issues. We discuss a select set of these related to measurement of the electroencephalogram (EEG) and magnetoencephalogram (MEG). We use specific examples from our laboratory to illustrate the types of questions that can be answered with different data analysis techniques.