Original contributionBi-phase age-related brain gray matter magnetic resonance T1ρ relaxation time change in adults
Introduction
Magnetic T1ρ relaxation has the potential to provide information about the low frequency motions (100 Hz to a few kilohertz) in biological systems [1], [2], [3]. T1ρ relaxation depends on T1 and T2 relaxation times as well as contributions from several MR interactions such as chemical exchange, dipolar interaction and J-coupling [1], [2]. Depending upon the tissue type, more than one mechanism may be operative simultaneously but with different relative contributions. During recent years, T1ρ relaxation has been increasingly used to explore the pathophysiology or predictive diagnostics of a number of neurological conditions [4], [5], [6], [7], [8], [9], [10]. Previous studies suggested that neurodegeneration may contribute to the increased T1ρ value in brain regions [11], [12], [13]. For example, cerebral atrophy, which reflects underlying neuronal loss, has been reported to be associated with increased T1ρ value in the hippocampus and medial temporal lobe of Alzheimer's disease [11]. Although the biophysical/biochemical mechanism remains to be further investigated, novel MRI techniques such as T1ρ, T1ρ dispersion, chemical exchange saturation transfer and its variant chemical exchange imaging with spin-lock technique may provide early imaging biomarkers for neurodegeneration diseases including Alzheimer's disease, Parkinson's disease and dementia [14], [15], [16], [17], [18]. These techniques have been refined to be increasingly more time-efficient, faster and more robust in recently years [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30].
The T1ρ and T2 values are correlated with T2 can be regarded as a special case of T1ρ with a spin lock frequency of 0 Hz. T2 relaxation has been explored as one of the contrast mechanism in brain disease characterization [31], [32], however, the relationship between T2 relaxation and brain physiological ageing remains not confirmed till now. Siemonsen et al. [33] studied 50 subjects (age: 12–91 years) and found an increase in T2 that linearly correlated with age in the thalamus and three white matter (WM) structures, but not in the caudate nucleus and lentiform nucleus. Ding et al. [34] studied 70 normal subjects (age: 3 weeks–31 years) and showed that T2 decreased with increasing age; the rate of decrease was greater at a younger age and slower in the years after, indicating a nonlinear relationship with age. Hasan et al. [35] studied 130 healthy subjects (age: 15–59 years) and reported the relation between T2 and age in whole brain gray and white matter, caudate nucleus, and the anterior limb of internal capsule followed a quadratic, U-shaped curve. More recently, Wang et al. [36] studied 77 normal subjects (age: 9–85 years) and reported brain tissue R2 (1/T2)-age correlations followed various time courses with both linear and nonlinear characteristics depending on the particular brain structure.
The relationship between brain tissue T1ρ and age has not been studied as extensively as T2 relaxation. Borthakur et al. [37] found no relationship between T1ρ vs. age in 16 elderly subjects (age: 70–91 years). Recently Watts et al. [38] studied 41 subjects (age: 18–76 years) and reported T1ρ values significantly decrease with age in cortical gray matter (GM), left and right caudate, putamen, hippocampus, amygdala, and nucleus accumbens; while increases with age were observed in white matter tracts. Information on age-related change in T1ρ relaxation is not only needed to gain a deeper understanding of brain ageing but also useful as a normative data set for examinations performed with T1ρ MRI in patients. The primary goal of this study was to further clarify the discrepancy seen in the reported literature [37], [38].
Section snippets
Subjects
This study was approved by the local ethical committee. There were 42 adults volunteers, including 20 males (ages 22–68 years, with a mean and standard deviation of 41 ± 16 years) and 22 females (ages 21–62 years, with a mean and standard deviation of 39 ± 15 years). The subjects were consecutively recruited with local advertisement, therefore represented random sampling. None of the subjects had neurological diseases clinically and MRI was diagnosed as normal except minor changes of enlargement of
Results
Table 1, Table 2 showed the mean, median, SD, Pearson correlation coefficient and p-value of gray matter and specific structures for subjects younger and older than 40 years, respectively. In subjects younger than 40 years, T1ρ values in the selected gray matters showed significant negative correlation with age. However, for subjects older than 40 years, T1ρ values in the selected gray matters showed no association correlation with age (Fig. 2, all p > 0.1). If subjects of all ages are grouped
Discussion
The diagnosis and therapy of age-related chronic diseases will become more and more challenging in the course of the next few decades because the percentage of elderly people is increasing. Objective and quantitative imaging strategies sensitive to early biochemical changes in brain tissue will benefit evaluation of potential new therapies and longitudinal monitoring of disease progression. In a pre-clinical study Plaschke et al. [49] demonstrated MR relaxometry may show subtle changes not
Acknowledgement
We thank Queenie Chan PhD, Philips Healthcare Greater China, for her supports during the study.
References (52)
- et al.
T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease
Neuroimage Clin
(2015) - et al.
Quantitative T1ρ mapping links the cerebellum and lithium use in bipolar disorder
Mol Psychiatry
(2015) - et al.
Whole brain mapping of water pools and molecular dynamics with rotating frame MR relaxation using gradient modulated low-power adiabatic pulses
Neuroimage
(2014) - et al.
CEST: from basic principles to applications, challenges and opportunities
J Magn Reson
(2013) - et al.
3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis
Neuroimage
(2009) - et al.
T1rho MRI of Alzheimer's disease
Neuroimage
(2008) - et al.
Artifacts in T 1ρ-weighted imaging: correction with a self-compensating spin-locking pulse
J Magn Reson
(2003) - et al.
Unified segmentation
Neuroimage
(2005) - et al.
Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
Neuroimage
(2002) - et al.
Glucose metabolism-weighted imaging with chemical exchange-sensitive MRI of 2-deoxyglucose (2DG) in brain: sensitivity and biological sources
Neuroimage
(2016)
Quantitative rotating frame relaxometry methods in MRI
NMR Biomed
T1ρ magnetic resonance: basic physics principles and applications in knee and intervertebral disc imaging
Quant Imaging Med Surg
T1rho contrast in functional magnetic resonance imaging
Magn Reson Med
In vivo quantitative whole-brain T1 rho MRI of multiple sclerosis
J Magn Reson Imaging
Eccentricity mapping of the human visual cortex to evaluate temporal dynamics of functional T1ρ mapping
J Cereb Blood Flow Metab
Brain abnormalities in bipolar disorder detected by quantitative T1ρ mapping
Mol Psychiatry
Magnetization transfer and adiabatic T1ρ MRI reveal abnormalities in normal-appearing white matter of subjects with multiple sclerosis
Mult Scler
Early marker for Alzheimer's disease: hippocampus T1rho estimation
J Magn Reson Imaging
T1rho (T1ρ) MR imaging in Alzheimer's disease and Parkinson's disease with and without dementia
J Neurol
T1rho and T2rho MRI in the evaluation of Parkinson's disease
J Neurol
MR chemical exchange imaging with spin-lock technique (CESL): a theoretical analysis of the Z-spectrum using a two-pool R(1rho) relaxation model beyond the fast-exchange limit
Phys Med Biol
Observation of biexponential T(1ρ) relaxation of in-vivo rat muscles at 3T
Acta Radiol
Chemical exchange saturation transfer (CEST) and MR Z-spectroscopy in vivo: a review of theoretical approaches and methods
Phys Med Biol
Chemical exchange saturation transfer (CEST) MR technique for in-vivo liver imaging at 3.0 tesla
Eur Radiol
Chemical Exchange Saturation Transfer (CEST) MR Technique for Liver Imaging at 3.0 Tesla: an Evaluation of Different Offset Number and an After-Meal and Over-Night-Fast Comparison
Mol Imaging Biol
Black blood T1rho MR imaging may diagnose early stage liver fibrosis: a proof-of-principle study with rat biliary duct ligation model
Quant Imaging Med Surg
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These two authors contributed equally to the work.