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Brain tissue volumes in the general population of the elderly: the AGES-Reykjavik study.

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Authors
Sigurdsson, Sigurdur
Aspelund, Thor
Forsberg, Lars
Fredriksson, Jesper
Kjartansson, Olafur
Oskarsdottir, Bryndis
Jonsson, Palmi V
Eiriksdottir, Gudny
Harris, Tamara B
Zijdenbos, Alex
van Buchem, Mark A
Launer, Lenore J
Gudnason, Vilmundur
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Issue Date
2012-02-15

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Neuroimage 2012, 59(4):3862-70
Abstract
Imaging studies have reported conflicting findings on how brain structure differs with age and sex. This may be explained by discrepancies and limitations in study population and study design. We report a study on brain tissue volumes in one of the largest cohorts of individuals studied to date of subjects with high mean age (mean ± standard deviation (SD) 76 ± 6 years). These analyses are based on magnetic resonance imaging (MRI) scans acquired at baseline on 4303 non-demented elderly, and 367 who had a second MRI, on average 2.5 ± 0.2 years later. Tissue segmentation was performed with an automatic image analysis pipeline. Total brain parenchymal (TBP) volume decreased with increasing age while there was an increase in white matter hyperintensities (WMH) in both sexes. A reduction in both normal white matter (NWM)- and gray matter (GM) volume contributed to the brain shrinkage. After adjusting for intra-cranial volume, women had larger brain volumes compared to men (3.32%, p < 0.001) for TBP volume in the cross-sectional analysis. The longitudinal analysis showed a significant age-sex interaction in TBP volume with a greater rate of annual change in men (-0.70%, 95%CI: -0.78% to -0.63%) than women (-0.55%, 95%CI: -0.61% to -0.49%). The annual change in the cross-sectional data was approximately 40% less than the annual change in the longitudinal data and did not show significant age-sex interaction. The findings indicate that the cross-sectional data underestimate the rate of change in tissue volumes with age as the longitudinal data show greater rate of change in tissue volumes with age for all tissues.
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http://www.sciencedirect.com/science/article/pii/S105381191101305X
http://dx.doi.org/10.1016/j.neuroimage.2011.11.024
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ae974a485f413a2113503eed53cd6c53
10.1016/j.neuroimage.2011.11.024
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