TY - JOUR
T1 - A longitudinal study of age- and gender-related annual rate of volume changes in regional gray matter in healthy adults
AU - Taki, Yasuyuki
AU - Thyreau, Benjamin
AU - Kinomura, Shigeo
AU - Sato, Kazunori
AU - Goto, Ryoi
AU - Wu, Kai
AU - Kawashima, Ryuta
AU - Fukuda, Hiroshi
PY - 2013/9
Y1 - 2013/9
N2 - The aim of this study was to analyze correlations among the annual rate of gray matter volume change, age, gender, and cerebrovascular risk factors in 381 healthy community-dwelling subjects with a large age range by applying a longitudinal design over 6 years using brain magnetic resonance images (MRIs). Brain MRI data were processed with voxel-based morphometry using a custom template by applying diffeomorphic anatomical registration using the exponentiated lie algebra procedure. The annual rate of regional gray matter volume change showed significant positive correlations with age in several regions, including the bilateral temporal pole, caudate nucleus, ventral and dorsolateral prefrontal cortices, insula, hippocampus, and temporoparietal cortex, whereas significant negative correlations with age were observed in several regions including the bilateral cingulate gyri and anterior lobe of the cerebellum. Additionally, a significant age-by-gender interaction was found for the annual rate of regional gray matter volume change in the bilateral hippocampus. No significant correlations were observed between the annual rate of regional gray matter volume change and body mass index or systolic blood pressure. A significant positive correlation between the annual rate of gray matter volume change and age indicates that the region shows not linear but accelerated gray matter loss with age. Therefore, evaluating the annual rate of the gray matter volume change with age in healthy subjects is important in understanding how gray matter volume changes with aging in each brain region and in anticipating what cognitive functions are likely to show accelerated decline with aging.
AB - The aim of this study was to analyze correlations among the annual rate of gray matter volume change, age, gender, and cerebrovascular risk factors in 381 healthy community-dwelling subjects with a large age range by applying a longitudinal design over 6 years using brain magnetic resonance images (MRIs). Brain MRI data were processed with voxel-based morphometry using a custom template by applying diffeomorphic anatomical registration using the exponentiated lie algebra procedure. The annual rate of regional gray matter volume change showed significant positive correlations with age in several regions, including the bilateral temporal pole, caudate nucleus, ventral and dorsolateral prefrontal cortices, insula, hippocampus, and temporoparietal cortex, whereas significant negative correlations with age were observed in several regions including the bilateral cingulate gyri and anterior lobe of the cerebellum. Additionally, a significant age-by-gender interaction was found for the annual rate of regional gray matter volume change in the bilateral hippocampus. No significant correlations were observed between the annual rate of regional gray matter volume change and body mass index or systolic blood pressure. A significant positive correlation between the annual rate of gray matter volume change and age indicates that the region shows not linear but accelerated gray matter loss with age. Therefore, evaluating the annual rate of the gray matter volume change with age in healthy subjects is important in understanding how gray matter volume changes with aging in each brain region and in anticipating what cognitive functions are likely to show accelerated decline with aging.
KW - Aging
KW - Cerebrovascular risk factor
KW - Gray matter
KW - Longitudinal
KW - Magnetic resonance imaging
KW - Voxel-based morphometry
UR - http://www.scopus.com/inward/record.url?scp=84882716962&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882716962&partnerID=8YFLogxK
U2 - 10.1002/hbm.22067
DO - 10.1002/hbm.22067
M3 - Article
C2 - 22438299
AN - SCOPUS:84882716962
SN - 1065-9471
VL - 34
SP - 2292
EP - 2301
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 9
ER -