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Cerebral Cortex Advance Access originally published online on April 7, 2006
Cerebral Cortex 2007 17(3):575-582; doi:10.1093/cercor/bhk001
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© The Author 2006. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Brain Structure Predicts the Learning of Foreign Speech Sounds

Narly Golestani1,2, Nicolas Molko1, Stanislas Dehaene1, Denis LeBihan1 and Christophe Pallier1

1 Unité INSERM 562, Service Hospitalier Frédéric Joliot, CEA/DRM/DSV 4 Place du general Leclerc, 91401 Orsay cedex, France, 2 Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, UK

Address correspondence to Narly Golestani, Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK. Email: n.golestani{at}ucl.ac.uk.

Previous work has shown a relationship between parietal lobe anatomy and nonnative speech sound learning. We scanned a new group of phonetic learners using structural magnetic resonance imaging and diffusion tensor imaging. Voxel-based morphometry indicated higher white matter (WM) density in left Heschl's gyrus (HG) in faster compared with slower learners, and manual segmentation of this structure confirmed that the WM volume of left HG is larger in the former compared with the latter group. This finding was replicated in a reanalysis of the original groups tested in Golestani and others (2002, Anatomical correlates of learning novel speech sounds. Neuron 35:997–1010). We also found that faster learners have a greater asymmetry (left > right) in parietal lobe volumes than slower learners and that the right insula and HG are more superiorly located in slower compared with faster learners. These results suggest that left auditory cortex WM anatomy, which likely reflects auditory processing efficiency, partly predicts individual differences in an aspect of language learning that relies on rapid temporal processing. It also appears that a global displacement of components of a right hemispheric language network, possibly reflecting individual differences in the functional anatomy and lateralization of language processing, is predictive of speech sound learning.

Key Words: brain anatomy • Heschl's gyrus • individual differences • phonetic perception • voxel-based morphometry • white matter


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