Literature DB >> 28152255

Relationship between aging and T1 relaxation time in deep gray matter: A voxel-based analysis.

Gosuke Okubo1, Tomohisa Okada1, Akira Yamamoto1, Yasutaka Fushimi1, Tsutomu Okada1, Katsutoshi Murata2, Kaori Togashi1.   

Abstract

PURPOSE: To investigate age-related changes in T1 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 T1 relaxation times. After the spatial normalization of T1 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 T1 value decreases in the ventral-inferior putamen, nucleus accumbens, and amygdala, whereas T1 values significantly increased in the thalamus and white matter as well (P < 0.05 at cluster level, false discovery rate). ROI analysis revealed that T1 values in the nucleus accumbens linearly decreased with aging (P = 0.0016), supporting the VBA result. T1 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 T1 values observed between 30 and 50 years of age.
CONCLUSION: Age-related changes in T1 relaxation time vary by location in deep gray matter. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:724-731.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  T1 relaxation time; aging; deep gray matter; nucleus accumbens; thalamus

Mesh:

Year:  2017        PMID: 28152255     DOI: 10.1002/jmri.25590

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  12 in total

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