Abstract
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 (β = -0.18, SE = 0.02, p <0.001) and the GM average MD (β = 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.
| Original language | English |
|---|---|
| Pages (from-to) | 535-539 |
| Number of pages | 5 |
| Journal | Neurology |
| Volume | 66 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Feb 2006 |
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- Neuroscience(all)
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Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI. / Benedetti, B.; Charil, A.; Rovaris, M.; Judica, E.; Valsasina, P.; Sormani, M. P.; Filippi, M.
In: Neurology, Vol. 66, No. 4, 02.2006, p. 535-539.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI
AU - Benedetti, B.
AU - Charil, A.
AU - Rovaris, M.
AU - Judica, E.
AU - Valsasina, P.
AU - Sormani, M. P.
AU - Filippi, M.
PY - 2006/2
Y1 - 2006/2
N2 - 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 (β = -0.18, SE = 0.02, p <0.001) and the GM average MD (β = 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.
AB - 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 (β = -0.18, SE = 0.02, p <0.001) and the GM average MD (β = 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.
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U2 - 10.1212/01.wnl.0000198510.73363.c6
DO - 10.1212/01.wnl.0000198510.73363.c6
M3 - Article
C2 - 16505308
AN - SCOPUS:33644993856
VL - 66
SP - 535
EP - 539
JO - Neurology
JF - Neurology
SN - 0028-3878
IS - 4
ER -