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

Yasuyuki Taki; Ryoi Goto; Alan Evans; Alex Zijdenbos; Peter Neelin; Jason Lerch; Kazunori Sato; Shuichi Ono; Shigeo Kinomura; Manabu Nakagawa; Motoaki Sugiura; Jobu Watanabe; Ryuta Kawashima; Hiroshi Fukuda

doi:10.1016/j.neurobiolaging.2003.09.002

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

Yasuyuki Taki, Ryoi Goto, Alan Evans, Alex Zijdenbos, Peter Neelin, Jason Lerch, Kazunori Sato, Shuichi Ono, Shigeo Kinomura, Manabu Nakagawa, Motoaki Sugiura, Jobu Watanabe, Ryuta Kawashima, Hiroshi Fukuda

Research output: Contribution to journal › Article › peer-review

155 Citations (Scopus)

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.

Original language	English
Pages (from-to)	455-463
Number of pages	9
Journal	Neurobiology of Aging
Volume	25
Issue number	4
DOIs	https://doi.org/10.1016/j.neurobiolaging.2003.09.002
Publication status	Published - 2004 Apr

Keywords

Age
Cerebrovasucular risk factors
Gray matter
MRI
Voxel-based morphometry
White matter

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10.1016/j.neurobiolaging.2003.09.002

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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.",

keywords = "Age, Cerebrovasucular risk factors, Gray matter, MRI, Voxel-based morphometry, White matter",

author = "Yasuyuki Taki and Ryoi Goto and Alan Evans and Alex Zijdenbos and Peter Neelin and Jason Lerch and Kazunori Sato and Shuichi Ono and Shigeo Kinomura and Manabu Nakagawa and Motoaki Sugiura and Jobu Watanabe and Ryuta Kawashima and Hiroshi Fukuda",

note = "Funding Information: This research was funded jointly by the National Institute of Mental Health, the National Institute of Neurological Disorders and Stroke, the National Institute on Drug Abuse, and the National Cancer Institute of USA. Part of this research was supported by a grant from the Telecommunications Advancement Organization of Japan, as well as JSPS-RFTF (97L00202).",

year = "2004",

month = apr,

doi = "10.1016/j.neurobiolaging.2003.09.002",

language = "English",

volume = "25",

pages = "455--463",

journal = "Neurobiology of Aging",

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T1 - Voxel-based morphometry of human brain with age and cerebrovascular risk factors

AU - Taki, Yasuyuki

AU - Goto, Ryoi

AU - Evans, Alan

AU - Zijdenbos, Alex

AU - Neelin, Peter

AU - Lerch, Jason

AU - Sato, Kazunori

AU - Ono, Shuichi

AU - Kinomura, Shigeo

AU - Nakagawa, Manabu

AU - Sugiura, Motoaki

AU - Watanabe, Jobu

AU - Kawashima, Ryuta

AU - Fukuda, Hiroshi

N1 - Funding Information: This research was funded jointly by the National Institute of Mental Health, the National Institute of Neurological Disorders and Stroke, the National Institute on Drug Abuse, and the National Cancer Institute of USA. Part of this research was supported by a grant from the Telecommunications Advancement Organization of Japan, as well as JSPS-RFTF (97L00202).

PY - 2004/4

Y1 - 2004/4

N2 - 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.

AB - 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.

KW - Age

KW - Cerebrovasucular risk factors

KW - Gray matter

KW - MRI

KW - Voxel-based morphometry

KW - White matter

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

Abstract

Keywords

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