The macromolecular MR spectrum does not change with healthy aging. Issue 4 (28th November 2021)

• Record Type: Journal Article
• Authors: Hui, Steve C. N.; Gong, Tao; Zöllner, Helge J.; Song, Yulu; Murali‐Manohar, Saipavitra; Oeltzschner, Georg; Mikkelsen, Mark; Tapper, Sofie; Chen, Yufan; Saleh, Muhammad G.; Porges, Eric C.; Chen, Weibo; Wang, Guangbin; Edden, Richard A. E.
• Is Part Of: Magnetic resonance in medicine. Volume 87:Issue 4(2022)
• Page Start: 1711
• Page End: 1719
• Publication Date: 2021-11-28
• Subjects: healthy aging -- macromolecule -- magnetic resonance spectroscopy -- pre‐inversion pulse -- PRESS; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.29093
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract: Purpose: To acquire the mobile macromolecule (MM) spectrum from healthy participants, and to investigate changes in the signals with age and sex. Methods: 102 volunteers (49 M/53 F) between 20 and 69 years were recruited for in vivo data acquisition in the centrum semiovale (CSO) and posterior cingulate cortex (PCC). Spectral data were acquired at 3T using PRESS localization with a voxel size of 30 × 26 × 26 mm 3, pre‐inversion (TR/TI 2000/600 ms) and CHESS water suppression. Metabolite‐nulled spectra were modeled to eliminate residual metabolite signals, which were then subtracted out to yield a "clean" MM spectrum using the Osprey software. Pearson's correlation coefficient was calculated between integrals and age for the 14 MM signals. One‐way ANOVA was performed to determine differences between age groups. An independent t ‐test was carried out to determine differences between sexes. Results: MM spectra were successfully acquired in 99 (CSO) and 96 (PCC) of 102 subjects. No significant correlations were seen between age and MM signals. One‐way ANOVA also suggested no age‐group differences for any MM peak (all p > .004). No differences were observed between sex groups. WM and GM voxel fractions showed a significant ( p < .05) negative linear association with age in the WM‐predominant CSO ( R = –0.29) and GM‐predominant PCC regions ( R = –0.57) respectively while CSF increased significantly with age in both regions. Conclusion: Our findings suggest that a pre‐defined MM basis function can be used for linear combination modeling of metabolite data from different age and sex groups.