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The Plasticity of the Superior Longitudinal Fasciculus as a Function of Musical Expertise: A Diffusion Tensor Imaging Study

Overview of attention for article published in Frontiers in Human Neuroscience, January 2010
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Title
The Plasticity of the Superior Longitudinal Fasciculus as a Function of Musical Expertise: A Diffusion Tensor Imaging Study
Published in
Frontiers in Human Neuroscience, January 2010
DOI 10.3389/neuro.09.076.2009
Pubmed ID
Authors

Mathias S. Oechslin, Adrian Imfeld, Thomas Loenneker, Martin Meyer, Lutz Jäncke

Abstract

Previous neuroimaging studies have demonstrated that musical expertise leads to functional alterations in language processing. We utilized diffusion tensor imaging (DTI) to investigate white matter plasticity in musicians with absolute pitch (AP), relative pitch and non-musicians. Using DTI, we analysed the fractional anisotropy (FA) of the superior longitudinal fasciculus (SLF), which is considered the most primary pathway for processing and production of speech and music. In association with different levels of musical expertise, we found that AP is characterized by a greater left than right asymmetry of FA in core fibres of the SLF. A voxel-based analysis revealed three clusters within the left hemisphere SLF that showed significant positive correlations with error rates only for AP-musicians in an AP-test, but not for musicians without AP. We therefore conclude that the SLF architecture in AP musicians is related to AP acuity. In order to reconcile our observations with general aspects of development of fibre bundles, we introduce the Pioneer Axon Thesis, a theoretical approach to formalize axonal arrangements of major white matter pathways.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Canada 2 <1%
Japan 2 <1%
France 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Germany 1 <1%
Mexico 1 <1%
Switzerland 1 <1%
Other 2 <1%
Unknown 184 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 24%
Researcher 41 20%
Student > Bachelor 25 12%
Student > Master 21 10%
Student > Doctoral Student 14 7%
Other 35 17%
Unknown 17 8%
Readers by discipline Count As %
Psychology 80 40%
Neuroscience 35 17%
Medicine and Dentistry 24 12%
Agricultural and Biological Sciences 9 4%
Arts and Humanities 8 4%
Other 17 8%
Unknown 29 14%