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

PIETRINI, PIETRO;
2006-01-01

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
2006
Alexander, Ge; Chen, K; Merkley, Tl; Reiman, Em; Caselli, Rj; Aschenbrenner, M; SANTERRE LEMMON, L; Lewis, Dj; Pietrini, Pietro; Teipel, Sj; Hampel, H; Rapoport, Si; Moeller, Jr
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/106432
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