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Title: | Big GABA II: Water-Referenced Edited MR Spectroscopy at 25 Research Sites. | Authors: | Mikkelsen, Mark Rimbault, Daniel Barker, Peter Bhattacharyya, Pallab Brix, Maiken Buur, Pieter Cecil, Kim Chan, Kimberly Chen, David Craven, Alexander CUYPERS, Koen Dacko, Michael Duncan, Niall Dydak, Ulrike Edmondson, David Ende, Gabriele Ersland, Lars Forbes, Megan Gao, Fei Greenhouse, Ian Harris, Ashley He, Naying Heba, Stefanie Hoggard, Nigel Hsu, Tun-Wei Jansen, Jacobus kangarlu, Alayar Lange, Thomas Lebel, Marc Li, Yan Lin, Chien-Yuan Liou, Jy-Kang Lirng, Jiing-Feng Liu, Feng Long, Joanna Ma, Ruoyun Maes, Celine Moreno-Ortega, Marta Murray, Scott Noah, Sean Noeske, Ralph Noseworthy, Michael Oeltzschner, Georg Porges, Eric Prisciandaro, James Puts, Nicolaas Roberts, Timothy Sack, Markus Sailasuta, Napapon Saleh, Muhammad Schallmo, Michael-Paul Simard, Nicholas Stoffers, Diederick Swinnen, Stephan Tegenthoff, Martin Truong, Peter Wang, Guangbin Wilkinson, Iain Wittsack, Hans-Jörg Woods, Adam Xu, Hongmin Fan, Fuhua Zhang, Chencheng Zipunnikov, Vadim Zöllner, Helge Edden, Richard |
Issue Date: | 2019 | Source: | NEUROIMAGE, 191, p. 537-548 | Abstract: | Accurate and reliable quantification of brain metabolites measured in vivo using 1 H magnetic resonance spectroscopy (MRS) is a topic of continued interest. Aside from differences in the basic approach to quantification, the quantification of metabolite data acquired at different sites and on different platforms poses an additional methodological challenge. In this study, spectrally edited γ-aminobutyric acid (GABA) MRS data were analyzed and GABA levels were quantified relative to an internal tissue water reference. Data from 284 volunteers scanned across 25 research sites were collected using GABAþ (GABA þ co-edited macromolecules (MM)) and MMsuppressed GABA editing. The unsuppressed water signal from the volume of interest was acquired for concentration referencing. Whole-brain T1-weighted structural images were acquired and segmented to determine gray matter, white matter and cerebrospinal fluid voxel tissue fractions. Water-referenced GABA measurements were fully corrected for tissue-dependent signal relaxation and water visibility effects. The cohort-wide coefficient of variation was 17% for the GABA þ data and 29% for the MM-suppressed GABA data. The mean within-site coefficient of variation was 10% for the GABA þ data and 19% for the MM-suppressed GABA data. Vendor differences contributed 53% to the total variance in the GABA þ data, while the remaining variance was attributed to site- (11%) and participant-level (36%) effects. For the MM-suppressed data, 54% of the variance was attributed to site differences, while the remaining 46% was attributed to participant differences. Results from an exploratory analysis suggested that the vendor differences were related to the unsuppressed water signal acquisition. Discounting the observed vendor-specific effects, water-referenced GABA measurements exhibit similar levels of variance to creatine-referenced GABA measurements. It is concluded that quantification using internal tissue water referencing is a viable and reliable method for the quantification of in vivo GABA levels. | Notes: | Mikkelsen, M (reprint author), Johns Hopkins Univ, Sch Med, Div Neuroradiol, Pk 359,600 N Wolfe St, Baltimore, MD 21287 USA. | Keywords: | Editing; GABA; MEGA-PRESS; MRS; Quantification; Tissue correction | Document URI: | http://hdl.handle.net/1942/27920 | ISSN: | 1053-8119 | e-ISSN: | 1095-9572 | DOI: | 10.1016/j.neuroimage.2019.02.059 | ISI #: | 000462145700047 | Rights: | Copyright 2019 Published by Elsevier Inc. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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10.1016@j.neuroimage.2019.02.059.pdf Restricted Access | Published version | 1.28 MB | Adobe PDF | View/Open Request a copy |
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