Functional prerequisites of music perception in newborn infants: Mismatch negativity studies.
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1
Hungarian Academy of Sciences, Hungary
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2
Budapest University of Technology and Economics, Hungary
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3
Semmelweis University, Hungary
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4
University of Plymouth, United Kingdom
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5
University of Szeged, Hungary
Perception of music relies on a multitude of auditory processing abilities. While listening to music, adults extract temporal patterns and melodic contour. Such abilities rely on lower level auditory processes, such as transposing pitch-intervals over different absolute pitch levels or processing pitch independently of other spectral sound features. We asked whether these abilities are learned or they are already functional at birth. To this end, we recorded event related brain potentials (ERP) in newborn babies, testing our questions with the help of the mismatch negativity (MMN) ERP component. MMN is an electrical brain response reflecting when the violation of an acoustic regularity has been detected by the brain. We constructed stimulus paradigms in which detection of some auditory regularity depended 1) on sound grouping, 2) transposition of a pitch interval, or 3) timbre independent extraction of pitch. MMN elicitation by infrequently violating these regularities can tell whether newborns have extracted the related regularities. The talk will review the results of a series of experiments testing these musically relevant auditory processing abilities in newborn babies.
Conference:
10th International Conference on Cognitive Neuroscience, Bodrum, Türkiye, 1 Sep - 5 Sep, 2008.
Presentation Type:
Poster Presentation
Topic:
Abstracts
Citation:
Háden
GP,
Stefanics
G,
Sziller
I,
Balázs
L,
Denham
S and
Winkler
I
(2008). Functional prerequisites of music perception in newborn infants: Mismatch negativity studies..
Conference Abstract:
10th International Conference on Cognitive Neuroscience.
doi: 10.3389/conf.neuro.09.2009.01.084
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Received:
02 Dec 2008;
Published Online:
02 Dec 2008.
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Correspondence:
Gabor P Háden, Hungarian Academy of Sciences, Budapest, Hungary, robag.nedah@gmail.com