A comparison of sLASER and MEGA-sLASER using simultaneous interleaved acquisition for measuring GABA in the human brain at 7T
| Autor: | Jan Willem Thielen, Jack J.A. van Asten, David G. Norris, Donghyun Hong, Seyedmorteza Rohani Rankouhi |
|---|---|
| Přispěvatelé: | Magnetic Detection and Imaging |
| Rok vydání: | 2019 |
| Předmět: |
Cingulate cortex
Male Magnetic Resonance Spectroscopy Medizin Precuneus Signal-To-Noise Ratio computer.software_genre Biochemistry 030218 nuclear medicine & medical imaging Diagnostic Radiology 0302 clinical medicine Nuclear magnetic resonance Mathematical and Statistical Techniques Cell Signaling Voxel Cortex (anatomy) Metabolites Medicine and Health Sciences Gray Matter Tomography gamma-Aminobutyric Acid Multidisciplinary Chemistry Radiology and Imaging Statistics Brain Neurochemistry Human brain Neurotransmitters Magnetic Resonance Imaging medicine.anatomical_structure Lipid Signaling Creatinine Physical Sciences Metabolome Medicine Regression Analysis Female Anatomy medicine.drug Motor cortex Research Article Signal Transduction Adult Imaging Techniques Science Biophysics Prefrontal Cortex Neuroimaging Linear Regression Analysis Research and Analysis Methods gamma-Aminobutyric acid 150 000 MR Techniques in Brain Function 03 medical and health sciences All institutes and research themes of the Radboud University Medical Center Diagnostic Medicine Urological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15] medicine Humans Statistical Methods Cingulate Cortex Biology and Life Sciences Cell Biology Metabolism nervous system Posterior cingulate computer 030217 neurology & neurosurgery Positron Emission Tomography Mathematics Neuroscience |
| Zdroj: | PLoS ONE PLoS One, 14, 10, pp. 1-19 PLoS ONE, 14(10):e0223702. Public Library of Science PLoS One, 14, 1-19 PLoS ONE, Vol 14, Iss 10, p e0223702 (2019) |
| ISSN: | 1932-6203 |
| Popis: | γ-Aminobutyric acid (GABA), the major inhibitory neurotransmitter, is challenging to measure using proton spectroscopy due to its relatively low concentration, J-coupling and overlapping signals from other metabolites. Currently, the prevalent methods for detecting GABA at ultrahigh field strengths (≥ 7 T) are GABA-editing and model fitting of non-editing single voxel spectra. These two acquisition approaches have their own advantages: the GABA editing approach directly measures the GABA resonance at 3 ppm, whereas the fitting approach on the non-editing spectrum allows the detection of multiple metabolites, and has an SNR advantage over longer echo time (TE) acquisitions. This study aims to compare these approaches for estimating GABA at 7 T. We use an interleaved sequence of semi- LASER (sLASER: TE = 38 ms) and MEGA-sLASER (TE = 80 ms). This simultaneous interleaved acquisition minimizes the differential effect of extraneous factors, and enables an accurate comparison of the two acquisition methods. Spectra were acquired with an 8 ml isotropic voxel at six different brain regions: anterior-cingulate cortex, dorsolateral-prefrontal cortex, motor cortex, occipital cortex, posterior cingulate cortex, and precuneus. Spectral fitting with LCModel quantified the GABA to total Cr (tCr: Creatine + Phosphocreatine) concentration ratio. After correcting the T₂ relaxation time variation, GABA/tCr ratios were similar between the two acquisition approaches. GABA editing showed smaller spectral fitting error according to Cramér-Rao lower bound than the sLASER approach for all regions examined. We conclude that both acquisition methods show similar accuracy but the precision of the MEGA-editing approach is higher for GABA measurement. In addition, the 2.28 ppm GABA resonance was found to be important for estimating GABA concentration without macromolecule contamination in the GABA-edited acquisition, when utilizing spectral fitting with LCModel. CA - Donghyun |
| Databáze: | OpenAIRE |
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