Reggie Taylor1
1Institute of Mental Health Research, The Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
Synopsis
A TE-Averaged sequence was created on a Siemens Biograph mMR 3 Tesla scanner for the purpose of detecting glycine at a clinical field strength in a healthy population. The sequence demonstrated that it can detect glycine and glutamate with moderate reproducibility, potentially providing a method to indirectly measure the health of the NMDA receptor
Introduction
The
amino acid glycine is a necessary co-agonist to the primary glutamatergic receptor,
the N-methyl-D-aspartate receptor (NMDAR)1,2. The NMDAR has been implicated in schizophrenia
and addiction3,4, and has been shown to be strongly connected to
working memory performance5. It is possible that in vivo measurements of glycine could be indirect indicators of
NMDAR function, making glycine an interesting target for magnetic resonance
spectroscopy (MRS) studies. Standard MRS techniques cannot reliably measure
glycine in vivo due to its low
concentration and overlap with other strongly coupled metabolites including myo-inositol (myo), though several novel methodologies have shown promise6–8. One technique that has been used at magnetic
field strengths of 4 Tesla and higher is echo-time averaged (TE-averaged) MRS6,9,10. This sequence utilizes the destructive
combination of myo peaks when
averaged over many TE due to the J-dephasing that occurs, compared to the constructive
combination of the glycine singlet every TE. As field strengths higher than 3
Tesla are rare, the intention of this work is to assess the feasibility of
using TE-averaged MRS for measuring glycine at the clinical field strength of 3
Tesla. Methods
All
experiments were performed on a Siemens Biograph mMR 3 Tesla PET/MRI using a
32ch head coil. One participant provided informed written consent and was scanned
10 times over the course of a week. The participant was removed from the
scanner between each session to assess the reproducibility of the technique and
the placement of the 3x2x1.5 cm3 voxel placed in the dorsal anterior cingulate
cortex (dACC; Fig. 1). A TE-Averaged MRS
sequence was created based off the stock PRESS sequence (TR=2000 ms, TE=30-260
ms, ΔTE=10
ms, 240 total averages, 10 averages per TE, TAcq= 8 min). A water
unsuppressed spectrum with one average per TE was acquired for concentration
estimates. Averages were acquired individually then frequency and phase
corrected before being combined offline using in-house software. Spectra were
fit using LCModel11 using a basis set simulated using FID-A12. Spectral signatures for were corrected for T2
relaxation effects at each TE then combined to form the basis set. Results
TE-Averaged spectra were acquired from the dACC
with good SNR and linewidths (Fig. 2). There appears to be well-resolved
glycine and glutamate peaks in the resulting averaged spectrum which compares
well with the expected simulated output (Fig. 3). The Coefficients of Variation (CV) for glycine
and glutamate concentrations were 16.5% and 10.4%, respectively, and 15.2% and 7.7%,
respectively, when using creatine ratios. The smallest detectable difference (SDD)
between two cohorts of n=30 would then be 12.5% and 7.9% for glycine and
glutamate concentrations, respectively, and 11.4% and 5.8% for ratios to
creatine. There were two glycine measurements with relatively lower
concentrations that had Cramer-Rao Lower-Bounds (CRLB) greater than 20% (26%
and 22%), with the remaining estimates having an average CRLB of 14.8 +/- 2.1%.
The average glutamate CRLB was 8.4 +/- 1.5%.Discussion
Compared to traditional MRS techniques,
glycine was able to be quantified with some degree of reliability using
TE-Averaged MRS at 3 Tesla. Due to the low concentration of glycine, it is not
surprising that the CRLB values were relatively high. However, the SDD values
between two groups with n=30 were higher than ideal. This acquisition was
constrained to 24 TE with 10 averages each and 10ms increments. It is possible
a broader range of TE, or smaller increments, would be beneficial as others
have demonstrated at higher field strengths6,9,10. The main issue with long TE acquisitions is the amount of signal
relaxation that occurs compared to short TE spectra and at 3 Tesla there will
be even less signal remaining. It is likely that the ideal combination of TE is
not a linear array and perhaps the sequence could benefit from a Monte-Carlo
simulation approach to optimizing the TE combination that is used. It would be
recommended to use creatine ratios over concentration estimates for studies
using this sequence as the reproducibility values were slightly better. The sequence
demonstrated that it can measure glutamate, and being able to reliably measure
both glycine and glutamate in one acquisition could be a useful approach to indirectly
studying the NMDAR using MRS. A similar technique to the TE-Averaged sequence
is 2D-JPRESS7,13, which has more difficult post-processing, but has demonstrated
improved glycine measurements at 3 Tesla over the current technique. It is
possible that an optimized TE parameter set would improve the acquisition over
2D-JPRESS, but currently it does not perform as well.Conclusion
The
TE-Averaged MRS sequence demonstrated that it can be used to measure glycine at
3 Tesla with moderate reproducibility, though there is likely room to improve. With
its current parameter set, other demonstrated techniques may be better options at
3 Tesla. Acknowledgements
The author would like to thank the Brain Imaging Centre at the Royal Ottawa Mental Health Centre for the scan time provided in-kind.References
1. Cummings, K. A. & Popescu, G. K.
Glycine-dependent activation of NMDA receptors. J. Gen. Physiol. 145,
513–527 (2015).
2. Coyle, J. T. & Tsai, G. The NMDA
receptor glycine modulatory site: a therapeutic target for improving cognition
and reducing negative symptoms in schizophrenia. Psychopharmacology (Berl).
174, 32–38 (2004).
3. Harvey, R. J. & Yee, B. K.
Glycine transporters as novel therapeutic targets in schizophrenia, alcohol
dependence and pain. Nat. Rev. Drug Discov. 12, 866–85 (2013).
4. Coyle, J. T. NMDA receptor and
schizophrenia: A brief history. Schizophr. Bull. 38, 920–926
(2012).
5. Newcomer, J. W., Farber, N. B. &
Olney, J. W. NMDA receptor function, memory, and brain aging. Dialogues
Clin. Neurosci. 2, 219–232 (2000).
6. Prescot, A. P. et al. In vivo
detection of brain glycine with echo-time-averaged 1H magnetic resonance
spectroscopy at 4.0 T. Magn. Reson. Med. 55, 681–686 (2006).
7. Prisciandaro, J. J. et al.
Evidence for a unique association between fronto-cortical glycine levels and
recent heavy drinking in treatment naïve individuals with alcohol use disorder.
Neurosci. Lett. 706, 207–210 (2019).
8. Choi, C. et al. Measurement of
glycine in human brain by triple refocusing 1H-MRS in vivo at 3.0T. Magn.
Reson. Med. 59, 59–64 (2008).
9. Kim, S.-Y. et al. In Vivo
Brain Glycine and Glutamate Concentrations in Patients With First-Episode
Psychosis Measured by Echo Time–Averaged Proton Magnetic Resonance Spectroscopy
at 4T. Biol. Psychiatry 83, 484–491 (2018).
10. Kaufman, M. J. et al. Oral
glycine administration increases brain glycine/creatine ratios in men: A proton
magnetic resonance spectroscopy study. Psychiatry Res. - Neuroimaging 173,
143–149 (2009).
11. Provencher, S. Estimation of metabolite
concentrations from localized in vivo proton NMR spectra. Magn. Reson. Med.
30, 672–679 (1993).
12. Simpson, R., Devenyi, G. A., Jezzard,
P., Hennessy, T. J. & Near, J. Advanced processing and simulation of MRS
data using the FID appliance (FID-A)—An open source, MATLAB-based toolkit. Magn.
Reson. Med. 77, 23–33 (2015).
13. Schulte, R. F., Lange, T., Beck, J.,
Meier, D. & Boesiger, P. Improved two-dimensional J-resolved spectroscopy. NMR
Biomed. 19, 264–270 (2006).