Paper
9 March 2010 Mapping gray matter volume and cortical thickness in Alzheimer's disease
Xiaojuan Guo, Ziyi Li, Kewei Chen, Li Yao, Zhiqun Wang, Kuncheng Li
Author Affiliations +
Abstract
Gray matter volume and cortical thickness are two important indices widely used to detect neuropathological changes in brain structural magnetic resonance imaging. Using optimized voxel-based morphometry (VBM) protocol and surface-based cortical thickness measure, this study comprehensively investigated the regional changes in cortical gray matter volume and cortical thickness in Alzheimer's disease (AD). Thirteen patients with AD and fourteen age- and gender-matched healthy controls were included in this study. Results showed that voxel-based gray matter volume and cortical thickness reductions were highly correlated in the temporal lobe and its medial structure in AD. Moreover significant reduced cortical regions of gray matter volume were obviously more than that of cortical thickness. These findings suggest that gray matter volume and cortical thickness, as two important imaging markers, are effective indices for detecting the neuroanatomical alterations and help us understand the neuropathology from different views in AD.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaojuan Guo, Ziyi Li, Kewei Chen, Li Yao, Zhiqun Wang, and Kuncheng Li "Mapping gray matter volume and cortical thickness in Alzheimer's disease", Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 76260B (9 March 2010); https://doi.org/10.1117/12.844070
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Cited by 1 scholarly publication.
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KEYWORDS
Magnetic resonance imaging

Brain

Control systems

Alzheimer's disease

Neuroimaging

Statistical analysis

Image processing

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