Big GABA: Edited MR spectroscopy at 24 research sites

Autor: Niall W. Duncan, R. Marc Lebel, Kimberly L. Chan, Celine Maes, Scott O. Murray, Lars Ersland, Kim M. Cecil, Michael Dacko, Markus Sack, Ralph Noeske, Gabriele Ende, Hans Jörg Wittsack, Alayar Kangarlu, Feng Liu, Guangbin Wang, Marta Moreno-Ortega, Ian Greenhouse, Jiing Feng Lirng, Georg Oeltzschner, Pallab K. Bhattacharyya, Fei Gao, Michael-Paul Schallmo, Richard A.E. Edden, Timothy P.L. Roberts, Jacobus F.A. Jansen, Ulrike Dydak, Chien Yuan E. Lin, Michael D. Noseworthy, Pieter F. Buur, Peter Truong, Martin Tegenthoff, Hongmin Xu, Naying He, Yan Li, Alexander R. Craven, Koen Cuypers, Stefanie Heba, David Yen Ting Chen, Ruoyun Ma, Nicholas Simard, Sean Noah, Nicolaas A.J. Puts, Stephan P. Swinnen, Peter B. Barker, Vadim Zipunnikov, Ashley D. Harris, Napapon Sailasuta, Nigel Hoggard, Maiken K. Brix, Iain D. Wilkinson, David A. Edmondson, Fuhua Yan, Thomas Lange, Muhammad G. Saleh, Jy Kang Liou, Chencheng Zhang, James J. Prisciandaro, Tun Wei Hsu, Mark Mikkelsen, Helge J. Zöllner
Přispěvatelé: Spinoza Centre for Neuroimaging, Beeldvorming, MUMC+: DA BV Klinisch Fysicus (9), RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience
Jazyk: angličtina
Rok vydání: 2017
Předmět:
In vivo magnetic resonance spectroscopy
Adult
Male
MRS
Magnetic Resonance Spectroscopy
Cognitive Neuroscience
Coefficient of variation
Datasets as Topic
Editing
ABSOLUTE METABOLITE QUANTIFICATION
gamma-Aminobutyric acid
AMYOTROPHIC-LATERAL-SCLEROSIS
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
GABA
Young Adult
0302 clinical medicine
MEGA-PRESS
medicine
Journal Article
Humans
Default mode network
GAMMA-AMINOBUTYRIC-ACID
gamma-Aminobutyric Acid
VIVO NMR-SPECTROSCOPY
MULTICENTER H-1 MRS
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER
SHORT ECHO TIME
Parietal lobe
Brain
Human brain
MAGNETIC-RESONANCE-SPECTROSCOPY
editing
GABAMEGA-PRESS
multi-site study
Impact measurement
medicine.anatomical_structure
Neurology
nervous system
ANTERIOR CINGULATE CORTEX
DEFAULT MODE NETWORK
Standard protocol
Female
Psychology
Neuroscience
Multi-site study
030217 neurology & neurosurgery
medicine.drug
Zdroj: NeuroImage, 159, 32-45. Academic Press
Neuroimage, 159, 32-45. Elsevier Science
ISSN: 1053-8119
1044-5803
Popis: Magnetic resonance spectroscopy (MRS) is the only biomedical imaging method that can noninvasively detect endogenous signals from the neurotransmitter γ-aminobutyric acid (GABA) in the human brain. Its increasing popularity has been aided by improvements in scanner hardware and acquisition methodology, as well as by broader access to pulse sequences that can selectively detect GABA, in particular J-difference spectral editing sequences. Nevertheless, implementations of GABA-edited MRS remain diverse across research sites, making comparisons between studies challenging. This large-scale multi-vendor, multi-site study seeks to better understand the factors that impact measurement outcomes of GABA-edited MRS. An international consortium of 24 research sites was formed. Data from 272 healthy adults were acquired on scanners from the three major MRI vendors and analyzed using the Gannet processing pipeline. MRS data were acquired in the medial parietal lobe with standard GABA+ and macromolecule- (MM-) suppressed GABA editing. The coefficient of variation across the entire cohort was 12% for GABA+ measurements and 28% for MM-suppressed GABA measurements. A multilevel analysis revealed that most of the variance (72%) in the GABA+ data was accounted for by differences between participants within-site, while site-level differences accounted for comparatively more variance (20%) than vendor-level differences (8%). For MM-suppressed GABA data, the variance was distributed equally between site- (50%) and participant-level (50%) differences. The findings show that GABA+ measurements exhibit strong agreement when implemented with a standard protocol. There is, however, increased variability for MM-suppressed GABA measurements that is attributed in part to differences in site-to-site data acquisition. This study's protocol establishes a framework for future methodological standardization of GABA-edited MRS, while the results provide valuable benchmarks for the MRS community. This work was supported by NIH grants R01 EB016089, R01 EB023963 and P41 EB015909. Data collection was supported by the Shandong Provincial Key Research and Development Plan of China (2016ZDJS07A16) and the National Natural Science Foundation of China for Young Scholars (no. 81601479). IDW thanks Mrs. J. Bigley of the University of Sheffield MRI Unit for her assistance with data acquisition. JJP was supported by NIAAA grant K23 AA020842. MPS was supported by NIH grant F32 EY025121. NAJP receives salary support from NIH grant K99 MH107719. The authors acknowledge implementation contributions from a number of employees of Siemens Medical Solutions, including Dr. Keith Heberlein and Dr. Sinyeob Ahn, to the Siemens WIP sequences, which are shared with several research sites under sequencespecific agreements.
Databáze: OpenAIRE
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