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Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites.


ABSTRACT: Accurate and reliable quantification of brain metabolites measured in vivo using 1H 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 ?-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 GABA+ (GABA + co-edited macromolecules (MM)) and MM-suppressed 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 + data and 29% for the MM-suppressed GABA data. The mean within-site coefficient of variation was 10% for the GABA + data and 19% for the MM-suppressed GABA data. Vendor differences contributed 53% to the total variance in the GABA + 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.

SUBMITTER: Mikkelsen M 

PROVIDER: S-EPMC6818968 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites.

Mikkelsen Mark M   Rimbault Daniel L DL   Barker Peter B PB   Bhattacharyya Pallab K PK   Brix Maiken K MK   Buur Pieter F PF   Cecil Kim M KM   Chan Kimberly L KL   Chen David Y-T DY   Craven Alexander R AR   Cuypers Koen K   Dacko Michael M   Duncan Niall W NW   Dydak Ulrike U   Edmondson David A DA   Ende Gabriele G   Ersland Lars L   Forbes Megan A MA   Gao Fei F   Greenhouse Ian I   Harris Ashley D AD   He Naying N   Heba Stefanie S   Hoggard Nigel N   Hsu Tun-Wei TW   Jansen Jacobus F A JFA   Kangarlu Alayar A   Lange Thomas T   Lebel R Marc RM   Li Yan Y   Lin Chien-Yuan E CE   Liou Jy-Kang JK   Lirng Jiing-Feng JF   Liu Feng F   Long Joanna R JR   Ma Ruoyun R   Maes Celine C   Moreno-Ortega Marta M   Murray Scott O SO   Noah Sean S   Noeske Ralph R   Noseworthy Michael D MD   Oeltzschner Georg G   Porges Eric C EC   Prisciandaro James J JJ   Puts Nicolaas A J NAJ   Roberts Timothy P L TPL   Sack Markus M   Sailasuta Napapon N   Saleh Muhammad G MG   Schallmo Michael-Paul MP   Simard Nicholas N   Stoffers Diederick D   Swinnen Stephan P SP   Tegenthoff Martin M   Truong Peter P   Wang Guangbin G   Wilkinson Iain D ID   Wittsack Hans-Jörg HJ   Woods Adam J AJ   Xu Hongmin H   Yan Fuhua F   Zhang Chencheng C   Zipunnikov Vadim V   Zöllner Helge J HJ   Edden Richard A E RAE  

NeuroImage 20190303


Accurate and reliable quantification of brain metabolites measured in vivo using <sup>1</sup>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  ...[more]

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