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

J Magn Reson Imaging. 2017 Sep;46(3):724-731. doi: 10.1002/jmri.25590. Epub 2017 Feb 2.

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.

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

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aging / physiology*
  • Female
  • Gray Matter / physiopathology*
  • Humans
  • Image Processing, Computer-Assisted / methods
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Young Adult