Abstract
Alkan A 2008. Diffusion-weighted imaging features of brain in obesity. Magnetic Resonance Imaging, vol. 26, no. 4, pp. 446-450. Anwander A 2007. Connectivity-based parcellation of Broca's area. Cerebral Cortex, vol. 17, no. 4, pp. 816-825.Haltia LT 2007. Brain white matter expansion in human obesity and the recovering effect of dieting. Journal of Clinical Endocrinology and Metabolism, vol. 92, no. 8, pp. 3278-3284. Jenkinson P 2002. Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, vol. 17, no. 2, pp. 825-841. Lohmann G 2001. Lipsia A new software system for the evaluation of functional magnetic resonance images of the human brain. Computerized Medical Imaging and Graphics, vol. 25, no. 6, pp. 449-457.Smith SM 2006. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage, vol. 31, no. 4, pp. 1487-1505. Thirion J-P 1998. Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis. vol. 2, no. 3, pp. 243-260. Connectivity of voxels related to the negative BMI/FA-correlation overlaid onto a shrunken brain surface (based on a representative individual subject). The tractography indicates that the detected areas in the corpus callosum project to cortical regions in the frontal lobe. Voxel-wise GLM analysis of the FA values. The red dots show the fitted parameters for the factor BMI. There is a negative correlation between FA and BMI (adjusted for subject's age and gender) in anterior regions of the corpus callosum. TBSS analysis of FA maps of 53 subjects with a BMI between 18.9 and 50.7. The results (color-coded in red/yellow) show the negative correlation between BMI and FA (p<0.05 corrected for multiple comparisons). Thus, the greater the BMI, the smaller the FA in anterior regions of the corpus callosum.
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