On the reproducibility of hippocampal MEGA-sLASER GABA MRS at 7T using an optimized analysis pipeline
Authors:
Open Access
- 31 August 2020
- journal article
- research article
- Published by Springer Nature in Magnetic Resonance Materials in Physics, Biology and Medicine
- Vol. 34 (3) , 427-436
Abstract
Objectives: GABA is the most important inhibitory neurotransmitter. Thus, variation in its concentration is connected to a wide variety of diseases. However, the low concentration and the overlap of more prominent resonances hamper GABA quantification using MR spectroscopy. The hippocampus plays a pivotal role in neurodegeneration. Susceptibility discontinuities in the vicinity of the hippocampus cause strongB0inhomogeneities, impeding GABA spectroscopy. The aim of this work is to improve the reproducibility of hippocampal GABA+ MRS.Methods: The GABA+/total creatine ratio in the hippocampus was measured using a MEGA-sLASER sequence at 7 Tesla. 10 young healthy volunteers participated in the study. A dedicated pre-processing approach was established. Spectral quantification was performed with Tarquin. The quantification parameters were carefully adjusted to ensure optimal quantification.Results: An inter-subject coefficient of variation of the GABA+/total creatine of below 15% was achieved. Additional to spectral registration, which is essential to obtain reproducible GABA measures, eddy current compensation and additional difference artifact suppression improved the reproducibility. The mean FWHM was 23.1 Hz (0.078 ppm).Conclusion: The increased spectral dispersion of ultra-high-field spectroscopy allows for reproducible spectral quantification, despite a very broad line width. The achieved reproducibility enables the routine use of hippocampal GABA spectroscopy at 7 Tesla.Keywords
Funding Information
- BONFOR (FKS-2016-03)
- Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE)
This publication has 42 references indexed in Scilit:
- Reproducibility of brain spectroscopy at 7T using conventional localization and spectral editing techniquesJournal of Magnetic Resonance Imaging, 2013
- Elevated Pontine and Putamenal GABA Levels in Mild-Moderate Parkinson Disease Detected by 7 Tesla Proton MRSPLOS ONE, 2012
- GABA release by hippocampal astrocytesFrontiers in Computational Neuroscience, 2012
- Open Peer Review by a Selected-Papers NetworkFrontiers in Computational Neuroscience, 2012
- Measuring T2 in vivo with J‐difference editing: Application to GABA at 3 teslaJournal of Magnetic Resonance Imaging, 2011
- Spectroscopic imaging with improved gradient modulated constant adiabaticity pulses on high-field clinical scannersJournal of Magnetic Resonance, 2010
- Diurnal stability of γ‐aminobutyric acid concentration in visual and sensorimotor cortexJournal of Magnetic Resonance Imaging, 2009
- Quantitation of magnetic resonance spectroscopy signals: the jMRUI software packageMeasurement Science and Technology, 2009
- Issues of spectral quality in clinical 1H‐magnetic resonance spectroscopy and a gallery of artifactsNMR in Biomedicine, 2004
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001