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Abstract #2832

Linear-combination modeling of GABA-edited MEGA-PRESS at 3T: Evaluating different modeling strategies

Helge Jörn Zöllner1,2, Sofie Tapper1,2, Steve C. N. Hui1,2, Peter B. Barker1,2, Richard A. E. Edden1,2, and Georg Oeltzschner1,2
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

Recent consensus states that linear-combination modeling (LCM) is the preferred method for modeling GABA-edited spectra. However, there is little peer-reviewed literature investigating how this should be performed. Here, we compare various modeling strategies for GABA-edited spectra, with different approaches to macromolecular signal parametrization, baseline stiffness, and fitting range. Variance of GABA+/tCr estimates decreased when prior knowledge was maximized, i.e., when a full fit range was used with a dedicated co-edited MM basis function. These new modeling strategies have been implemented in the MATLAB-based open-source MRS analysis toolbox Osprey (

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