Abstract:Purpose
To harmonize data acquisition and post-processing of single voxel proton magnetic resonance spectroscopy (1H-MRS) at 7 Tesla (7T), and to determine metabolite concentrations, accuracy and reproducibility of metabolite levels in the adult human brain.
Experimental
This study was performed in compliance with local Institutional Human Ethics Committees. The same seven subjects were each examined twice using four different 7T MR-systems from two different vendors using an identical semi-LASER spectroscop… Show more
“…This ability of 1 H-MRS to map the actual inter-subject variability in metabolite concentration in a specific brain region was demonstrated by a strong correlation between metabolite levels of individual subjects determined at 4 T and 7 T ( Figure 6). Similar results were found in a recent multi-centre study that focused on the accuracy and reproducibility of neurochemical profiles in the human brain at 7 T. 27 This study was performed at four different institutions (University Duisburg-Essen, University of Minnesota, Leiden University Medical Center and University Medical Center Utrecht) using 7T MRI scanners from two different vendors (Philips or Siemens). The same seven subjects were each examined twice at each site using the same protocol: FASTMAP B 0 shimming, semi-LASER localization sequence 33 combined with VAPOR water suppression, 25,34 LCModel metabolite quantification.…”
Section: H-mrs Neurochemical Profiling At 7 Tsupporting
confidence: 77%
“…For this reason, automatic VOI positioning methods have been developed for 1 H-MRS. 64 These regional differences in metabolite concen- 27 This was possible by implementing the same MRS methodology including data acquisition and processing (FASTMAP shimming, semi-LASER localization sequence, VAPOR water suppression, LCModel processing). There is an ongoing multi-centre effort (NIH grant: Partnership for MRS biomarker development, PI: Gü lin € Oz, University of Minnesota) that seeks to simplify the operator input necessary to acquire MRS data, to make it robust and user-friendly and to make it available for all major clinical MR platforms.…”
Section: Applications Of 1 H-mrs For Cns Disordersmentioning
Proton nuclear magnetic resonance spectroscopy of biofluids has become one of the key techniques for metabolic profiling and phenotyping. This technique has been widely used in a number of epidemiological studies and in a variety of health disorders. However, its utilization in brain disorders is limited due to the blood-brain barrier, which not only protects the brain from unwanted substances in the blood, but also substantially limits the potential of finding biomarkers for neurological disorders in serum. This review article focuses on the potential of localized in vivo proton magnetic resonance spectroscopy ( 1 H-MRS) for non-invasive neurochemical profiling in the human brain. First, methodological aspects of 1 H-MRS (data acquisition, processing and metabolite quantification) that are essential for reliable non-invasive neurochemical profiling are described. Second, the power of 1 H-MRS-based neurochemical profiling is demonstrated using some examples of its application in neuroscience and neurology. Finally, the authors present their vision and propose necessary steps to establish 1 H-MRS as a method suitable for large-scale neurochemical profiling in epidemiological research.
Key words:1 H-MRS, methodology, spectral quality, neurochemical profiling, CNS disorders
Key Messages• In vivo neurochemical profiling in the human brain is feasible, but the widespread use requires the implementation of the most advanced methodologies of 1 H-MRS.• There is a widening gap between what is feasible at specialized MR research centres and what is currently available for routine clinical practice.• The software upgrade (B 0 shimming, localization pulses sequence) on clinical 3T MR scanners is sufficient for a significant improvement of the 1 H-MRS data quality and for an increase in the range of reliably quantified metabolites.
“…This ability of 1 H-MRS to map the actual inter-subject variability in metabolite concentration in a specific brain region was demonstrated by a strong correlation between metabolite levels of individual subjects determined at 4 T and 7 T ( Figure 6). Similar results were found in a recent multi-centre study that focused on the accuracy and reproducibility of neurochemical profiles in the human brain at 7 T. 27 This study was performed at four different institutions (University Duisburg-Essen, University of Minnesota, Leiden University Medical Center and University Medical Center Utrecht) using 7T MRI scanners from two different vendors (Philips or Siemens). The same seven subjects were each examined twice at each site using the same protocol: FASTMAP B 0 shimming, semi-LASER localization sequence 33 combined with VAPOR water suppression, 25,34 LCModel metabolite quantification.…”
Section: H-mrs Neurochemical Profiling At 7 Tsupporting
confidence: 77%
“…For this reason, automatic VOI positioning methods have been developed for 1 H-MRS. 64 These regional differences in metabolite concen- 27 This was possible by implementing the same MRS methodology including data acquisition and processing (FASTMAP shimming, semi-LASER localization sequence, VAPOR water suppression, LCModel processing). There is an ongoing multi-centre effort (NIH grant: Partnership for MRS biomarker development, PI: Gü lin € Oz, University of Minnesota) that seeks to simplify the operator input necessary to acquire MRS data, to make it robust and user-friendly and to make it available for all major clinical MR platforms.…”
Section: Applications Of 1 H-mrs For Cns Disordersmentioning
Proton nuclear magnetic resonance spectroscopy of biofluids has become one of the key techniques for metabolic profiling and phenotyping. This technique has been widely used in a number of epidemiological studies and in a variety of health disorders. However, its utilization in brain disorders is limited due to the blood-brain barrier, which not only protects the brain from unwanted substances in the blood, but also substantially limits the potential of finding biomarkers for neurological disorders in serum. This review article focuses on the potential of localized in vivo proton magnetic resonance spectroscopy ( 1 H-MRS) for non-invasive neurochemical profiling in the human brain. First, methodological aspects of 1 H-MRS (data acquisition, processing and metabolite quantification) that are essential for reliable non-invasive neurochemical profiling are described. Second, the power of 1 H-MRS-based neurochemical profiling is demonstrated using some examples of its application in neuroscience and neurology. Finally, the authors present their vision and propose necessary steps to establish 1 H-MRS as a method suitable for large-scale neurochemical profiling in epidemiological research.
Key words:1 H-MRS, methodology, spectral quality, neurochemical profiling, CNS disorders
Key Messages• In vivo neurochemical profiling in the human brain is feasible, but the widespread use requires the implementation of the most advanced methodologies of 1 H-MRS.• There is a widening gap between what is feasible at specialized MR research centres and what is currently available for routine clinical practice.• The software upgrade (B 0 shimming, localization pulses sequence) on clinical 3T MR scanners is sufficient for a significant improvement of the 1 H-MRS data quality and for an increase in the range of reliably quantified metabolites.
“…These focuses have included: unedited, short-TE MRS (Deelchand et al, 2015); low-field MRS (Träber et al, 2006); ultra-high field MRS (van de Bank, 2015); absolute quantification (Bovée et al, 1998; De Beer et al, 1998; Keevil et al, 1998; Soher et al, 1996); MRSI (Sabati et al, 2015; Wijnen et al, 2010); body MRS (Bolan et al, 2016; Scheenen et al, 2011); brain tumor classification (García-Gómez et al, 2009; Julià-Sapé et al, 2006; Tate et al, 2003; Vicente et al, 2013); and HIV-associated dementia (Chang et al, 2004; Lee et al, 2003; Sacktor et al, 2005). Even for short-TE methods, the degree of agreement between sites and scanners is highly dependent on the degree of acquisition homogeneity.…”
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.
“…MRS data were acquired using a semi-LASER sequence (van de Bank et al, 2015): TR=5000 ms, TE=36 ms, 20x20x20 mm voxel, 64 averages per block, TA=5 mins 20 secs, using VAPOR (VAriable Power RF pulses with Op mized Relaxa on delays) water suppression (Tkác et al, 1999). The VOI was manually posi oned in the le M1, covering the whole hand knob (Yousry et al, 1997) ( Figure 1D) and excluding the dura.…”
The ability to learn novel motor skills is both a central part of our daily lives and can provide a model for rehabilitation after a stroke. However, there are still fundamental gaps in our understanding of the physiological mechanisms that underpin human motor plasticity. The acquisition of new motor skills is dependent on changes in local circuitry within the primary motor cortex (M1). This reorganisation has been hypothesised to be facilitated by a decrease in local inhibition via modulation of the neurotransmitter GABA, but this link has not been conclusively demonstrated in humans. Here, we used 7T MR Spectroscopy to investigate the dynamics of GABA concentrations in human M1 during the learning of an explicit, serial reaction time task. We observed a significant reduction in GABA concentration during motor learning that was not seen in an equivalent motor task lacking a learnable sequence, nor during a passive resting task of the same duration. No change in glutamate was observed in any group. Furthermore, baseline M1 GABA was strongly predictive of the degree of subsequent learning, such that greater inhibition was associated with poorer subsequent learning. This result suggests that higher levels of cortical inhibition may present a barrier that must be surmounted in order achieve an increase in M1 excitability, and hence encoding of a new motor skill. These results provide strong support for the mechanistic role of GABAergic inhibition in motor plasticity, raising questions regarding the link between population variability in motor learning and GABA metabolism in the brain.Funding informationJ.K.:Wellcome Trust Sir Henry Wellcome Postdoctoral Fellowship (204696/Z/16/Z). C.J.S.: Wellcome Trust/Royal Society Henry Dale Fellowships (102584/Z/13/Z).
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