Novel Triple-refocusing 1H MRS at 3T for detection of GABA in human brain in vivo
Zhongxu An1, Sandeep Ganji1, Vivek Tiwari1, and Changho Choi1

1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States

Synopsis

Reliable detection of GABA is important for research studies in neuro-psychiatric diseases. In vivo 1H GABA resonances extensively overlap with the neighboring resonances of glutamate and glutamine. We present an optimized single-shot triple-focusing 1H MRS method which fully resolved GABA 2.29-ppm signal at 3T.

PURPOSE

Reliable and precise measurement of the primary inhibitory neurotransmitter, γ-aminobutyric acid (GABA), in the human brain is important for the research in a wide variety of neuro-psychiatric disorders1. The resonances of this low-concentration metabolite are extensively overlapped with other large signals, thus J-difference editing approaches2,3 are commonly used, in which the GABA 3.0-ppm resonance is obtained via subtraction between two spectra. Given that difference editing may suffer from potential subtraction errors, the capability of detecting GABA in a single-shot manner may be highly beneficial. Here we report a novel triple-refocusing approach that can completely resolve the GABA 2.29-ppm resonance from neighboring resonances at 3T.

METHODS

The 1H MRS sequence used had three 180° RF pulses following a 90° excitation pulse, as shown in Fig.1a. The first and third 180° pulses were slice selective (13.2ms; bandwidth 1.3kHz) and the second 180° pulse was non-slice selective. Volume-localized density-matrix simulations were conducted for optimizing the second 180° pulse duration and the triple-refocusing subecho times TE­1, TE2 and TE3, incorporating experimental RF and gradient pulses. Spectra of GABA, Glu and Gln were numerically calculated for various non-slice-selective 180° pulse durations (14 - 32ms) and various subecho times TE­1, TE2 and TE3 (16 - 60ms). Among ~150,000 simulated spectra, an optimal pulse duration and sub-echo time set was obtained with criteria; 1) high amplitude and narrow GABA signal at 2.29-ppm, and 2) good separation of GABA from the Glu and Gln C4-proton resonances.

In-vitro test of the GABA-optimized triple-refocusing sequence was conducted on a phantom solution with GABA (1mM), Glu (12mM) and creatine (10mM), at pH=7.0 and temperature 37°C. Seven normal adult subjects (4 male and 3 female) were recruited. In-vivo 1H MRS data were obtained, with triple-refocusing MRS, from occipital gray-matter (OG) and occipital white-matter (OW) dominant regions. The voxel size was 23×25×25mm3 for OG and 28×20×20mm3 for OW. Data acquisition parameters included NEX=192 and TR=2s (scan time 6.4 min). Data were acquired with a 32-channel head coil in a 3T whole-body scanner (Philips Medical Systems). Spectral fitting was performed, with LCModel software4, using in-house calculated basis spectra of 20 metabolites. Metabolites were quantified with reference to water at 45 M. T2 relaxation effects were corrected using published T2 values5.

RESULTS

Numerical simulations indicated that the GABA 2.29-ppm resonance was temporally maximum and can be resolved from adjacent signals of Glu and Gln, with a triple-refocusing subecho time set of (TE1,TE2,TE3) = (34,14,34) ms and a 14-ms non-slice selective 180° pulse (1.2kHz bandwidth, Fig.1b), tuned to 2.5-ppm. In phantom validation (Fig.2), the GABA signal at 2.29-ppm was clearly separated from the Glu 2.35-ppm signal, which was not the case in short-TE MRS. Figure 3 presents representative in-vivo spectra from OG and OW regions, together with LCModel fit and individual metabolite spectra. A signal was clearly discernible at 2.29-ppm, well separated from the large Glu signal at 2.35-ppm. The 2.29-ppm signal was large in the OG spectrum and relatively low in the OW data. GABA was estimated to be 0.95 and 0.49mM with CRLBs of 8% and 11% for OG and OW, respectively. Similar results were observed in all 7 subjects (Fig.4). The mean concentration of GABA was significantly higher in OG than in OW (0.86 vs. 0.44mM; p < 0.001) (Fig.5). The mean GABA CRLB was 7% and 13% in OG and OW, respectively.

DISCUSSION AND CONCLUSION

We report a novel triple-refocusing MRS method that provides complete separation of the GABA 2.29-ppm signal from the Glu C4-proton resonance in a single-shot manner. The major mechanism for the signal separation is narrowing of GABA and Glu multiplets at the optimized subecho times and with non-slice selective 180° pulse. Specifically, the Glu C4-proton resonances are strongly coupled and the signal intensity and patterns are sensitive to individual subecho times while the signal from the weakly-coupled GABA spins depends on the total TE. The signal yield of the new method is ~2 fold higher than that of J-difference editing, reducing the scan time substantially (e.g., 6.4min vs. 14min6 for 14mL). Our data show that the GABA level is significantly higher in OG than in OW, in agreement with prior studies7. Small CRLBs of GABA and small residuals in spectral fitting support precise measurements of GABA. In conclusion, GABA in the human brain can be measured reliably and precisely using an optimized triple-refocusing sequence at 3T. The method may provide an effective tool for studying potential alterations in GABA levels in neuro-psychiatric disorders.

Acknowledgements

This work was supported by NIH CA184584 and CPRIT RP130427.

References

1. Tran T, Ross B, Lin A. Magnetic resonance spectroscopy in neurological diagnosis. Neurol Clin. 2008; 27(1): 21-60.

2. Rothman DL, Petroff OA, Behar KL, Mattson RH. Localized 1H NMR measurements of gamma-aminobutyric acid in human brain in vivo. Proc Natl Acad Sci. 1993; 90(12): 5662–5666.

3. Mescher M, Merkle H, Kirsch J, Garwood M, Gruetter R. Simultaneous in vivo spectral editing and water suppression. NMR Biomed. 1998; 11(6): 266-72.

4. Provencher SW. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Res Med. 1993; 30(6): 672-9.

5. Ganji SK, Banerjee A, Patel AM, et al. T2 measurement of J-coupled metabolites in the human brain at 3T. NMR Biomed. 2012; 25(4): 523-9.

6. Puts NA, Edden RA. In vivo magnetic resonance spectroscopy of GABA: a methodological review. Prog Nucl Magn Reson Spectrosc. 2012; 60: 29-41

7. Bhattacharyya PK, Phillips MD, Stone LA, Lowe MJ. In vivo magnetic resonance spectroscopy measurement of gray-matter and white-matter gamma-aminobutyric acid concentration in sensorimotor cortex using a motion-controlled MEGA point-resolved spectroscopy sequence. Magn Reson Imaging. 2011; 29(3): 374-9.

Figures

Fig. 1. a) Schematic diagram of a triple-refocusing sequence, used for GABA Detection. b) The refocusing profile of the second 180° RF pulses. The second 180° pulse was non-slice selective, with duration 14 ms and bandwidth 1.2kHz.

Fig. 2. Comparison of simulated and experimental signals of GABA and glutamate for GABA-optimized triple refocusing. The concetration ratio was GABA:Glu:Cr = 1:12:10.

Fig. 3. In-vivo spectra, obtained with a GABA-optimized triple refocusing sequence, from gray-matter and white-matter dominant regions of a normal subject. LCModel-returned signals of GABA, Glu and Gln are shown together with concentration estimates and CRLBs.

Fig. 4. (a, c) In-vivo spectra from 7 subjects are shown with LCModel fits. (b, d) Spectra between 2.1 and 2.4 ppm are magnified. Vertical dotted lines were drawn at the GABA 2.29 ppm resonance.

Fig. 5. Comparison of GABA estimates from occipital gray-matter (OG) dominant and occipital white-matter (OW) dominant regions. The GABA level was significantly higher in OG than in OW.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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