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[Abstract Title]. - Society for Neuroscience

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epresentation is superior to the region of laminar cortical infarct (white arrow) involving the<br />

motor strip. Focal cortical infarct in the parietal lobe (white arrowhead) is also seen.<br />

Disclosures: J.A. Riley , None; J.A. Butman, None; W. Idsardi, None; A.R. Braun, None.<br />

Poster<br />

249. Dyslexia, SLI, and Other Disorders of Cognition and Behavior<br />

Time: Sunday, November 16, 2008, 1:00 pm - 5:00 pm<br />

Program#/Poster#: 249.25/V10<br />

Topic: F.01.d. Language<br />

Support: MRC<br />

<strong>Title</strong>: Analysis of grey matter volume in persistent developmental stuttering: a voxel-based<br />

morphometry study<br />

Authors: *P. M. GOUGH 1,2 , S. DAVIS 3 , D. WARD 4 , P. HOWELL 3 , K. E. WATKINS 1,2 ;<br />

1 Exp Psychology, 2 Fmrib, Univ. Ox<strong>for</strong>d, Ox<strong>for</strong>d, United Kingdom; 3 Psychology, UCL, London,<br />

United Kingdom; 4 Psychology, Univ. Reading, Reading, United Kingdom<br />

<strong>Abstract</strong>: Functional imaging studies of people who stutter (PWS) are reaching a consensus<br />

regarding the brain areas that are abnormally active during speech. Similarly, structural analyses<br />

of white matter integrity show a remarkably similar pattern of deficits in the tracts connecting<br />

motor and sensory cortices in PWS. In contrast, structural analyses of grey matter show a more<br />

varied pattern of results across studies. We carried out a Voxel-Based Morphometry analysis of<br />

grey matter volume in a large group of PWS. We compared 29 PWS (age range 14-42 years,<br />

16M, 13F) with 22 age-matched and fluent-speaking controls (age range 14-42 years, 11M, 11F).<br />

T1-weighted 1-mm isotropic structural images of the whole brain were acquired at 1.5T. A<br />

study-specific symmetrical template was constructed. In each subject, an image of grey matter<br />

was created using an automated tissue classifier (FAST, FSL; http://www.fmrib.ox.ac.uk/fsl).<br />

These grey matter segmented images were nonlinearly trans<strong>for</strong>med (FNIRT, FSL) to the<br />

template image and the Jacobian determinant was used to modulate the grey matter signal at each<br />

voxel to reflect its original size. These images were smoothed to 10-mm FWHM. A t-test<br />

between the two groups was per<strong>for</strong>med voxel-wise across the whole brain. Images were<br />

thresholded at p

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