Abstract
Japan has a super-aging population; thus, it is important to preserve cognitive function for the entire lifespan by preventing pathological brain aging. To achieve the aim, we have compiled a large brain magnetic resonance imaging (MRI) database of around 3000 subjects aged from 5 to 80 years to reveal how the brain develops and ages. We have also collected data on several cognitive functions, lifestyle factors such as eating and sleeping habits, and genetic data. Using the database, we have revealed normal brain development and aging, and have revealed what factors affect brain development and aging. For example, there were significant negative correlations between alcohol consumption and the gray-matter volume of the fronto-parietal region, and between the body mass index and the gray-matter volume of the hippocampus in a cross-sectional analysis. In addition, having intellectual curiosity showed significant negative correlation with regional gray-matter volume decline rate in the temporo-parietal region. These findings help to understand the mechanism of brain development and aging, and to perform differential diagnosis or diagnosis at an early stage of several diseases/disorders such as autism and Alzheimer’s. In addition, we introduce the Tohoku Medical Megabank Project, in which we will are compiling a brain MRI database of around 30,000 healthy subjects. By performing the project, we aim to build a system of preventive medicine for several diseases/disorders such as Alzheimer’s.
References
Taki Y, Goto R, Evans A, Zijdenbos A, Neelin P, Lerch J, Sato K, Ono S, Kinomura S, Nakagawa M, Sugiura M, Watanabe J, Kawashima R, Fukuda H (2004) Voxel-based morphometry of human brain with age and cerebrovascular risk factors. Neurobiol Aging 25(4):455–463
Taki Y, Kinomura S, Sato K, Goto R, Inoue K, Okada K, Ono S, Kawashima R, Fukuda H (2006) Both global gray matter volume and regional gray matter volume negatively correlate with lifetime alcohol intake in non-alcohol-dependent Japanese men: a volumetric analysis and a voxel-based morphometry. Alcohol Clin Exp Res 30(6):1045–1050
Taki Y, Kinomura S, Sato K, Inoue K, Goto R, Okada K, Uchida S, Kawashima R, Fukuda H (2008) Relationship between body mass index and gray matter volume in 1,428 healthy individuals. Obesity (Silver Spring) 16(1):119–124
Taki Y, Hashizume H, Sassa Y, Takeuchi H, Wu K, Asano M, Asano K, Fukuda H, Kawashima R (2011a) Correlation between gray matter density-adjusted brain perfusion and age using brain MR images of 202 healthy children. Hum Brain Mapp 32(11):1973–1985
Taki Y, Kinomura S, Sato K, Goto R, Wu K, Kawashima R, Fukuda H (2011b) Correlation between baseline regional gray matter volume and global gray matter volume decline rate. NeuroImage 54(2):743–749
Taki Y, Kinomura S, Sato K, Goto R, Wu K, Kawashima R, Fukuda H (2011c) Correlation between degree of white matter hyperintensities and global gray matter volume decline rate. Neuroradiology 53(6):397–403
Taki Y, Hashizume H, Thyreau B, Sassa Y, Takeuchi H, Wu K, Kotozaki Y, Nouchi R, Asano M, Asano K, Fukuda H, Kawashima R (2012) Sleep duration during weekdays affects hippocampal gray matter volume in healthy children. NeuroImage 60(1):471–475
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Japan KK
About this chapter
Cite this chapter
Taki, Y. (2017). Brain Maturation and Aging: Large Brain MRI Database. In: Tsukiura, T., Umeda, S. (eds) Memory in a Social Context. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56591-8_12
Download citation
DOI: https://doi.org/10.1007/978-4-431-56591-8_12
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-56589-5
Online ISBN: 978-4-431-56591-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)