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Voxel-based morphometry of human brain with age and cerebrovascular risk factors
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
Institution: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
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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