Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27920
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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