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NEUROLOGY 2006;66:535-539
© 2006 American Academy of Neurology

Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI

B. Benedetti, MD, A. Charil, MSc, M. Rovaris, MD, E. Judica, MD, P. Valsasina, PhD, M. P. Sormani, PhD and M. Filippi, MD

From the Neuroimaging Research Unit, Department of Neurology, Scientific Institute and University Ospedale San Raffaele, Milan, Italy.

Address correspondence and reprint requests to Dr. Massimo Filippi, Neuroimaging Research Unit, Department of Neurology, Scientific Institute and University Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; e-mail: m.filippi{at}hsr.it

Background: Conventional MRI can reveal decreases in brain volumes with aging but fails to provide information about the underlying microstructural modifications. Magnetization transfer (MT) and diffusion tensor (DT) MRI can in part overcome these limitations.

Objective: To investigate the influence of aging on conventional and MT and DT MRI–derived measurements in brain white (WM) and gray (GM) matter.

Methods: Dual-echo, T1-weighted, MT and DT MR images of the brain were obtained in 89 healthy subjects (age range 11 to 76 years). Normalized GM and WM volumes were measured and MT ratio (MTR) and mean diffusivity (MD) histograms produced for both tissue compartments.

Results: Normalized brain (r = –0.78), GM (r = –0.75), and WM (r = –0.34) volumes and the number of brain T2 hyperintensities (r = 0.49) were correlated with age. Additionally, all GM MT- and DT-derived parameters also correlated with age (r values ranging from 0.28 to 0.64), whereas only the peak height (ph) of the normal-appearing (NA) WM MD histogram did so (r = –0.34). After correcting for the number of T2 hyperintensities, gender, and the corresponding normalized tissue volumes, only the correlations between age and GM average MD (r = 0.24), GM-MD-ph (r = –0.37), and NAWM-MD-ph (r = –0.29) remained significant. A multivariate regression analysis including both brain tissues variables retained the GM volume (ß = –0.18, SE = 0.02, p < 0.001) and the GM average MD (ß = 45, SE = 19, p = 0.02) as independent predictors of subject’s age.

Conclusions: Brain white matter and gray matter have different vulnerabilities to aging. Microstructural imaging is important to achieve a complete picture of the complex changes occurring in the aging brain.


Disclosure: The authors report no conflicts of interest.

Received August 11, 2005. Accepted in final form October 28, 2005.




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