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Structural MRI data were segmented and normalized, applying a voxel\u2010based morphometric analysis. Perfusion MRI was normalized using the normalization parameter of the corresponding structural MRI. We calculated brain perfusion with an adjustment for gray matter density (BP\u2010GMD) by dividing normalized ASL MRI by normalized gray matter segments in 22 regions. Next, we analyzed the correlation between BP\u2010GMD and age in each region by estimating linear, quadratic, and cubic polynomial functions, using the Akaike information criterion. The correlation between BP\u2010GMD and age showed an inverted U shape followed by a U\u2010shaped trajectory in most regions. In addition, age at which BP\u2010GMD was highest was different among the lobes and gray matter regions, and the BP\u2010GMD association with age increased from the occipital to the frontal lobe via the temporal and parietal lobes. Our results indicate that higher order association cortices mature after the lower order cortices, and may help clarify the mechanisms of normal brain maturation from the viewpoint of brain perfusion. Hum Brain Mapp, 2011. \u00a9 2011 Wiley\u2010Liss, Inc.<\/jats:p>","DOI":"10.1002\/hbm.21163","type":"journal-article","created":{"date-parts":[[2011,1,21]],"date-time":"2011-01-21T17:44:44Z","timestamp":1295631884000},"page":"1973-1985","source":"Crossref","is-referenced-by-count":87,"title":["Correlation between gray matter density\u2010adjusted brain perfusion and age using brain MR images of 202 healthy 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