Healthy aging has been associated with brain volume reductions preferentially affecting the frontal cortex, but also involving other regions. We used a network model of regional covariance, the Scaled Subprofile Model, with magnetic resonance imaging voxel-based morphometry to identify the regional distribution of gray matter associated with aging in 26 healthy adults, 22-77 years old. Scaled Subprofile Model analysis identified a pattern that was highly correlated with age (R2=0.66, P
Regional network of magnetic resonance imaging gray matter volume in healthy aging / Alexander, G.e., Chen, K., Merkley, T.l., Reiman, E.m., Caselli, R.j., Aschenbrenner, M., SANTERRE-LEMMON, L., Lewis, D.j., Pietrini, P., Teipel, S.j., Hampel, H., Rapoport, S.i., Moeller, J.r.. - In: NEUROREPORT. - ISSN 0959-4965. - 17:10(2006), pp. 951-956. [10.1097/01.wnr.0000220135.16844.b6]
Regional network of magnetic resonance imaging gray matter volume in healthy aging
PIETRINI P;
2006
Abstract
Healthy aging has been associated with brain volume reductions preferentially affecting the frontal cortex, but also involving other regions. We used a network model of regional covariance, the Scaled Subprofile Model, with magnetic resonance imaging voxel-based morphometry to identify the regional distribution of gray matter associated with aging in 26 healthy adults, 22-77 years old. Scaled Subprofile Model analysis identified a pattern that was highly correlated with age (R2=0.66, P| File | Dimensione | Formato | |
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