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The Journal of Neuroscience, October 28, 2009, 29(43):13516-13523; doi:10.1523/JNEUROSCI.1680-09.2009

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Behavioral/Systems/Cognitive
Predicting Language Lateralization from Gray Matter

Goulven Josse, Ferath Kherif, Guillaume Flandin, Mohamed L. Seghier, and Cathy J. Price

Wellcome Trust Centre for Neuroimaging, UCL, WC1N 3BG London, United Kingdom

Correspondence should be addressed to Goulven Josse at his present address: Laboratoire de Neurosciences Cognitives, Inserm, Unité 960, Département d'Etudes Cognitives, Ecole Normale Supérieure, 29 rue d'Ulm, 75005 Paris, France. Email: goulvenjosse{at}gmail.com

It has long been predicted that the degree to which language is lateralized to the left or right hemisphere might be reflected in the underlying brain anatomy. We investigated this relationship on a voxel-by-voxel basis across the whole brain using structural and functional magnetic resonance images from 86 healthy participants. Structural images were converted to gray matter probability images, and language activation was assessed during naming and semantic decision. All images were spatially normalized to the same symmetrical template, and lateralization images were generated by subtracting right from left hemisphere signal at each voxel. We show that the degree to which language was left or right lateralized was positively correlated with the degree to which gray matter density was lateralized. Post hoc analyses revealed a general relationship between gray matter probability and blood oxygenation level-dependent signal. This is the first demonstration that structural brain scans can be used to predict language lateralization on a voxel-by-voxel basis in the normal healthy brain.


Received April 7, 2009; revised Aug. 17, 2009; accepted Aug. 19, 2009.

Correspondence should be addressed to Goulven Josse at his present address: Laboratoire de Neurosciences Cognitives, Inserm, Unité 960, Département d'Etudes Cognitives, Ecole Normale Supérieure, 29 rue d'Ulm, 75005 Paris, France. Email: goulvenjosse{at}gmail.com






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Copyright 2009 by Society for Neuroscience ONLINE ISSN: 1529-2401
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