Abstract #0345

The Macromolecular Background Spectrum Does Not Change with Age in Healthy Participants

Steve C.N. Hui^1,2, Tao Gong³, Helge J. Zöllner^1,2, Yulu Song³, Yufan Chen³, Muhammad G. Saleh⁴, Mark Mikkelsen^1,2, Georg Oeltzschner^1,2, Sofie Tapper^1,2, Weibo Chen⁵, Richard A.E. Edden^1,2, and Guangbin Wang³

¹Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ³Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China, ⁴Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, ⁵Philips Healthcare, Shanghai, China

The aim of this project was to investigate the time course of macromolecular (MM) background spectrum during healthy aging. Recruiting a structured, cross-sectional cohort of 100 participants (10 male and 10 female subject per decade: 20s; 30s; 40s; 50s; and 60s), we acquired metabolite-nulled short-TE PRESS data and modeled the MM spectrum as a series of Gaussian signals at literature-defined chemical shifts. Linear regression of water-scaled MM signal areas revealed no significant relationship between age and MM signal areas, suggesting the MM spectrum may be more stable than has been suggested in the literature.

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