We processed spectroscopic data in MatLab 2020a (9.8, MathWorks, Inc.) with an automated custom written post-processing pipeline incorporating Gannet28 (link) (ver 3.1) and MR libs (https://github.com/chenkonturek/MRS_MRI_libs ) software parts. We reconstructed the non-water-suppressed frequency-aligned measurement series as described previously6 (link),27 (link) and applied Hankel-Lanczos singular value decomposition (HLSVD) residual water suppression and apodization filter (BW = 1 Hz) before quantification by LCModel29 (link) (ver 6.3–1N). Metabolite concentration values are referenced to the voxel’s internal water concentration taking into consideration a full tissue and relaxation correction according to Gasparovic et al30 (link),31 (link).
The basis set for spectral fitting included the following metabolites: N-acetyl-aspartate and N-acetyl-aspartyl-glutamate (NAA + NAAG = tNAA), GSH, glutamate and glutamine (Glu + Gln = Glx), glycerophosphochline and phosphocholine (GPC + PCh = tCho), Cr, scyllo-Inositol (sI) and myo-Inositol (mI). Metabolites were included based on the MRS consensus recommendations32 (link),33 (link). All MR spectroscopy acquisitions were performed by a trained spectroscopist (last author with 8 years of experience). Data analysis were performed by using an automated post-processing pipeline.
The basis set for spectral fitting included the following metabolites: N-acetyl-aspartate and N-acetyl-aspartyl-glutamate (NAA + NAAG = tNAA), GSH, glutamate and glutamine (Glu + Gln = Glx), glycerophosphochline and phosphocholine (GPC + PCh = tCho), Cr, scyllo-Inositol (sI) and myo-Inositol (mI). Metabolites were included based on the MRS consensus recommendations32 (link),33 (link). All MR spectroscopy acquisitions were performed by a trained spectroscopist (last author with 8 years of experience). Data analysis were performed by using an automated post-processing pipeline.
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