Voxel-based morphometry of human brain with age and cerebrovascular risk factors |
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Authors: | Taki Yasuyuki Goto Ryoi Evans Alan Zijdenbos Alex Neelin Peter Lerch Jason Sato Kazunori Ono Shuichi Kinomura Shigeo Nakagawa Manabu Sugiura Motoaki Watanabe Jobu Kawashima Ryuta Fukuda Hiroshi |
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Affiliation: | Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryocho, Aobaku, 980-8575 Sendai, Japan. ytaki@idac.tohoku.ac.jp |
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Abstract: | The objectives of this study were to evaluate the correlations of the volumes of the gray matter and white matter with age, and the correlations of the tissue probabilities of the gray matter and white matter with age and several cerebrovascular risk factors. We obtained magnetic resonance (MR) images of the brain and clinical information from 769 normal Japanese subjects. We processed the MR images automatically by correcting for inter-individual differences in brain size and shape, and by segmenting the MR images into the gray matter and white matter. Volumetry of the brain revealed a significant negative correlation between the gray matter volume and age, which was not observed between white matter volume and age. Voxel-based morphometry showed that age, systolic blood pressure, and alcohol drinking correlated with the regional tissue probabilities of the gray matter and white matter. |
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