PURPOSE: To quantify and examine the distribution of brain metabolites in normal young adults using single voxel MR spectroscopy at 3 Tesla (T). MATERIALS AND METHODS: Short-echo time single-voxel PRESS technique was used to measure the apparent concentration of five metabolites at nine locations in the brains of young adults. Concentrations were estimated by means of an automated fitting method (LCModel) with reference to an unsuppressed water signal and were corrected for T(1) relaxation, T(2) relaxation, and cerebrospinal fluid partial volume. Analysis of variance with Tukey post hoc test was used to evaluate regional variations. RESULTS: Statistically significant differences in regional concentrations were detected for each of the metabolites. The number of significant differences was greatest for total choline, whereas myo-inositol and the sum of glutamine and glutamate had the fewest. Magnitude of variation was greatest for total choline and least for the sum of N-acetyl aspartate and N-acetylaspartylglutamate. CONCLUSION: In agreement with previous studies at other field strengths, we found heterogeneous distribution of the major spectroscopically measurable brain metabolites. Although the most distinct differences are between tissue types, there is appreciable variation within a tissue type at different locations. The spectra and metabolite concentrations presented should provide a useful reference for both clinical and research MR spectroscopy studies performed at 3T.
PURPOSE: To quantify and examine the distribution of brain metabolites in normal young adults using single voxel MR spectroscopy at 3 Tesla (T). MATERIALS AND METHODS: Short-echo time single-voxel PRESS technique was used to measure the apparent concentration of five metabolites at nine locations in the brains of young adults. Concentrations were estimated by means of an automated fitting method (LCModel) with reference to an unsuppressed water signal and were corrected for T(1) relaxation, T(2) relaxation, and cerebrospinal fluid partial volume. Analysis of variance with Tukey post hoc test was used to evaluate regional variations. RESULTS: Statistically significant differences in regional concentrations were detected for each of the metabolites. The number of significant differences was greatest for total choline, whereas myo-inositol and the sum of glutamine and glutamate had the fewest. Magnitude of variation was greatest for total choline and least for the sum of N-acetyl aspartate and N-acetylaspartylglutamate. CONCLUSION: In agreement with previous studies at other field strengths, we found heterogeneous distribution of the major spectroscopically measurable brain metabolites. Although the most distinct differences are between tissue types, there is appreciable variation within a tissue type at different locations. The spectra and metabolite concentrations presented should provide a useful reference for both clinical and research MR spectroscopy studies performed at 3T.
Authors: Alena Horská; Walter E Kaufmann; Larry J Brant; Sakkubai Naidu; James C Harris; Peter B Barker Journal: J Magn Reson Imaging Date: 2002-02 Impact factor: 4.813
Authors: Juan R Bustillo; Hongji Chen; Charles Gasparovic; Paul Mullins; Arvind Caprihan; Clifford Qualls; William Apfeldorf; John Lauriello; Stefan Posse Journal: Biol Psychiatry Date: 2010-10-20 Impact factor: 13.382
Authors: Nina V Kraguljac; Meredith A Reid; David M White; Jan den Hollander; Adrienne C Lahti Journal: Neuropsychopharmacology Date: 2012-07-18 Impact factor: 7.853
Authors: Stella Blasel; Ulrich Pilatus; Joerg Magerkurth; Maya von Stauffenberg; Dmitri Vronski; Manuel Mueller; Lars Woeckel; Elke Hattingen Journal: Neuroradiology Date: 2012-01-03 Impact factor: 2.804
Authors: Tara L White; Mollie A Monnig; Edward G Walsh; Adam Z Nitenson; Ashley D Harris; Ronald A Cohen; Eric C Porges; Adam J Woods; Damon G Lamb; Chelsea A Boyd; Sinda Fekir Journal: Neuropsychopharmacology Date: 2018-03-06 Impact factor: 7.853
Authors: Uzay E Emir; Edward J Auerbach; Pierre-Francois Van De Moortele; Małgorzata Marjańska; Kamil Uğurbil; Melissa Terpstra; Ivan Tkáč; Gülin Oz Journal: NMR Biomed Date: 2011-07-15 Impact factor: 4.044
Authors: Brendon M Nacewicz; Lisa Angelos; Kim M Dalton; Ron Fischer; Michael J Anderle; Andrew L Alexander; Richard J Davidson Journal: Neuroimage Date: 2011-09-05 Impact factor: 6.556