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Related Experiment Video

Updated: Jun 21, 2025

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Metabolite T2 relaxation times decrease across the adult lifespan in a large multi-site cohort.

Kathleen E Hupfeld1,2, Saipavitra Murali-Manohar1,2, Helge J Zöllner1,2

  • 1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

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|July 9, 2024
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Summary
This summary is machine-generated.

Aging significantly alters metabolite T2 relaxation times, impacting magnetic resonance spectroscopy (MRS) quantification. This study provides age-specific T2 equations for more accurate metabolite concentration estimates in vivo.

Keywords:
T2 relaxation timesTE serieshealthy agingmagnetic resonance spectroscopy (MRS)metabolites

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Area of Science:

  • Neuroimaging
  • Biophysics
  • Metabolomics

Background:

  • Accurate in vivo magnetic resonance spectroscopy (MRS) relies on precise relaxation correction.
  • Standard MRS quantification often assumes constant relaxation values, neglecting age-related changes in metabolite T2.
  • Previous research indicates T2 variations with aging for key metabolites.

Purpose of the Study:

  • To comprehensively investigate the correlation between T2 relaxation times and age in a large, multi-site cohort.
  • To determine if age-dependent T2 changes affect metabolite quantification in vivo.
  • To provide age-specific T2 values for improved MRS accuracy.

Main Methods:

  • Recruited 101 participants across five age decades (18-60+ years).
  • Acquired PRESS data at 8 echo times (TEs) from white matter (CSO) and gray matter (PCC) regions.
  • Quantified metabolite amplitudes using Osprey and estimated T2 by fitting exponential decay curves.

Main Results:

  • Older age correlated with shorter T2 for tNAA, tCr, tCho, Glx, and tissue water in both CSO and PCC (p<0.05).
  • These associations persisted after controlling for cortical atrophy.
  • T2 values for mI did not differ across the adult lifespan; regional differences in T2 were observed for several metabolites.

Conclusions:

  • Metabolite T2 values change significantly with aging, necessitating age-specific corrections in MRS.
  • The study provides equations for estimating age-specific T2 values, improving MRS quantification accuracy.
  • Future 3T MRS research should incorporate these age-dependent T2 values instead of default constants.