Relationship Between Aging and T1 Relaxation Time in Deep Gray Matter: A Voxel-Based Analysis

被引:34
作者
Okubo, Gosuke [1 ]
Okada, Tomohisa [1 ]
Yamamoto, Akira [1 ]
Fushimi, Yasutaka [1 ]
Okada, Tsutomu [1 ]
Murata, Katsutoshi [2 ]
Togashi, Kaori [1 ]
机构
[1] Kyoto Univ, Grad Sch Med, Dept Diagnost Imaging & Nucl Med, Kyoto, Japan
[2] Siemens Healthcare KK, Tokyo, Japan
基金
日本学术振兴会;
关键词
AGE-RELATED-CHANGES; QUANTITATIVE MAGNETIC-RESONANCE; VIRCHOW-ROBIN SPACES; HUMAN BRAIN; WHITE-MATTER; BASAL GANGLIA; MULTIPLE-SCLEROSIS; IRON CONCENTRATION; PROTON T-1; MYELIN;
D O I
10.1002/jmri.25590
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To investigate age-related changes in T-1 relaxation time in deep gray matter structures in healthy volunteers using magnetization-prepared 2 rapid acquisition gradient echoes (MP2RAGE). Materials and Methods: In all, 70 healthy volunteers (aged 20-76, mean age 42.6 years) were scanned at 3T magnetic resonance imaging (MRI). A MP2RAGE sequence was employed to quantify T-1 relaxation times. After the spatial normalization of T-1 maps with the diffeomorphic anatomical registration using the exponentiated Lie algebra algorithm, voxel-based regression analysis was conducted. In addition, linear and quadratic regression analyses of regions of interest (ROIs) were also performed. Results: With aging, voxel-based analysis (VBA) revealed significant T-1 value decreases in the ventral-inferior putamen, nucleus accumbens, and amygdala, whereas T-1 values significantly increased in the thalamus and white matter as well (P < 0.05 at cluster level, false discovery rate). ROI analysis revealed that T-1 values in the nucleus accumbens linearly decreased with aging (P=0.0016), supporting the VBA result. T-1 values in the thalamus (P < 0.0001), substantia nigra (P=0.0003), and globus pallidus (P < 0.0001) had a best fit to quadratic curves, with the minimum T-1 values observed between 30 and 50 years of age. Conclusion: Age-related changes in T-1 relaxation time vary by location in deep gray matter.
引用
收藏
页码:724 / 731
页数:8
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