title: Voxel-based morphometry of human brain with age and cerebrovascular risk factors.
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.
authors.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
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Taki
authors.forename: Ryoi
authors.initials: R
authors.lastname: Goto
authors.forename: Alan
authors.initials: A
authors.lastname: Evans
authors.forename: Alex
authors.initials: A
authors.lastname: Zijdenbos
authors.forename: Peter
authors.initials: P
authors.lastname: Neelin
authors.forename: Jason
authors.initials: J
authors.lastname: Lerch
authors.forename: Kazunori
authors.initials: K
authors.lastname: Sato
authors.forename: Shuichi
authors.initials: S
authors.lastname: Ono
authors.forename: Shigeo
authors.initials: S
authors.lastname: Kinomura
authors.forename: Manabu
authors.initials: M
authors.lastname: Nakagawa
authors.forename: Motoaki
authors.initials: M
authors.lastname: Sugiura
authors.forename: Jobu
authors.initials: J
authors.lastname: Watanabe
authors.forename: Ryuta
authors.initials: R
authors.lastname: Kawashima
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Fukuda
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000375:Aging / Q000378:metabolism / Q000473:pathology*; D000428:Alcohol Drinking / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D001921:Brain / Q000378:metabolism / Q000473:pathology*; D002561:Cerebrovascular Disorders / Q000378:metabolism / Q000473:pathology*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D018709:Statistics, Nonparametric