Literature DB >> 12488812

An fMRI study of music sight-reading.

Daniele Schön1, Jean Luc Anton, Muriel Roth, Mireille Besson.   

Abstract

The brain areas involved in music reading were investigated using fMRI. In order to evaluate the specificity of these areas we compared reading music notation to reading verbal and number notations in a task that required professional pianists to play the notes (in musical and verbal notations) and the numbers displayed on a 5-key keyboard. Overall, the three tasks revealed a similar pattern of activated brain areas. However, direct contrasts between the music notation and the verbal or the numerical notation tasks also revealed specific major foci of activation in the right occipito-temporal junction, superior parietal lobule and the intraparietal sulcus. We interpret the right occipito-temporal difference as due to differences at the encoding level between notes, words and numbers. This area might be analogous to one described for words, called the visual word form area. The parietal activations are discussed in terms of visuo-motor transcoding pathways that differ for the three types of notations used. Finally, we present a model of music reading that can possibly explain our findings.

Mesh:

Year:  2002        PMID: 12488812     DOI: 10.1097/00001756-200212030-00023

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  16 in total

1.  Action-effect coupling in pianists.

Authors:  Ulrich C Drost; Martina Rieger; Marcel Brass; Thomas C Gunter; Wolfgang Prinz
Journal:  Psychol Res       Date:  2004-04-07

2.  Musical expertise is related to altered functional connectivity during audiovisual integration.

Authors:  Evangelos Paraskevopoulos; Anja Kraneburg; Sibylle Cornelia Herholz; Panagiotis D Bamidis; Christo Pantev
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-14       Impact factor: 11.205

3.  Tones and numbers: a combined EEG-MEG study on the effects of musical expertise in magnitude comparisons of audiovisual stimuli.

Authors:  Evangelos Paraskevopoulos; Anja Kuchenbuch; Sibylle C Herholz; Nikolaos Foroglou; Panagiotis Bamidis; Christo Pantev
Journal:  Hum Brain Mapp       Date:  2014-06-11       Impact factor: 5.038

4.  A reliable and valid tool for measuring visual recognition ability with musical notation.

Authors:  Yetta Kwailing Wong; Kelvin F H Lui; Alan C-N Wong
Journal:  Behav Res Methods       Date:  2021-04

5.  Musical expertise induces audiovisual integration of abstract congruency rules.

Authors:  Evangelos Paraskevopoulos; Anja Kuchenbuch; Sibylle C Herholz; Christo Pantev
Journal:  J Neurosci       Date:  2012-12-12       Impact factor: 6.167

6.  Mathematical modeling of human glioma growth based on brain topological structures: study of two clinical cases.

Authors:  Cecilia Suarez; Felipe Maglietti; Mario Colonna; Karina Breitburd; Guillermo Marshall
Journal:  PLoS One       Date:  2012-06-28       Impact factor: 3.240

7.  Behavioral Quantification of Audiomotor Transformations in Improvising and Score-Dependent Musicians.

Authors:  Robert Harris; Peter van Kranenburg; Bauke M de Jong
Journal:  PLoS One       Date:  2016-11-11       Impact factor: 3.240

8.  Temporal processing of audiovisual stimuli is enhanced in musicians: evidence from magnetoencephalography (MEG).

Authors:  Yao Lu; Evangelos Paraskevopoulos; Sibylle C Herholz; Anja Kuchenbuch; Christo Pantev
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

9.  Music practice is associated with development of working memory during childhood and adolescence.

Authors:  Sissela Bergman Nutley; Fahimeh Darki; Torkel Klingberg
Journal:  Front Hum Neurosci       Date:  2014-01-07       Impact factor: 3.169

10.  A Voxel-Based Morphometry Study of the Brain of University Students Majoring in Music and Nonmusic Disciplines.

Authors:  Kanako Sato; Eiji Kirino; Shoji Tanaka
Journal:  Behav Neurol       Date:  2015-09-30       Impact factor: 3.342

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