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Methods ARTICLE

Front. Psychiatry, 14 August 2020 | https://doi.org/10.3389/fpsyt.2020.00813

Feasibility of Measuring GABA Levels in the Upper Brainstem in Healthy Volunteers Using Edited MRS

Yulu Song1, Tao Gong1, Richard A. E. Edden2,3 and Guangbin Wang1*
  • 1Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinn, China
  • 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
  • 3FM Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Purpose: To assess the feasibility of small-voxel MEGA-PRESS in detecting gamma-aminobutyric acid (GABA) levels of the upper brainstem in healthy volunteers.

Materials and Methods: Forty-two healthy volunteers, aged between 20 and 76 years were enrolled in this study, and underwent a 3.0T MRI scan using an eight-channel phased-array head coil. The MEGA-PRESS sequence was used to edit GABA signal from a 10x25x30 mm3 voxel in the upper brain stem. The detected signal includes contributions from macromolecules (MM) and homocarnosine and is therefore referred to as GABA+. All the data were processed using Gannet.

Results: Thirty-four cases were successful in measuring GABA in the upper brainstem and 8 cases failed (based on poor modeling of spectra). The GABA+ levels were 2.66 ± 0.75 i.u. in the upper brainstem of healthy volunteers, ranging from 1.50 to 4.40 i.u. The normalized fitting residual (FitErr in Gannet) was 12.1 ± 2.8%, ranging from 7.4% to 19.1%; it was below 15.5% in 30 cases (71%).

Conclusions: It is possible to measure GABA levels in the upper brainstem using MEGA-PRESS with a relatively small ROI, with a moderate between-subject variance of under 30%.

Introduction

γ-aminobutyric acid (GABA) is the major inhibitory neurotransmitter in the developmentally mature mammalian central nervous system. GABA acts at inhibitory synapses in the brain by binding to specific transmembrane receptors in both pre- and postsynaptic neuronal processes. 1H magnetic resonance spectroscopy (MRS) is a noninvasive technique that can be used to measure neurotransmitter levels in vivo (1). However, GABA is difficult to detect due to its low concentration and the presence of overlapping signals from other compounds such as creatine and N-acetyl aspartate (NAA) (2). Mescher-Garwood point-resolved spectroscopy (MEGA-PRESS) is able to estimate GABA levels reliably using an editing technique based on refocusing J-couplings (3). To date, MEGA-PRESS has been measured both in the healthy brain (48) and in various neurodegenerative disorders, such as Alzheimer’s disease (AD) (9, 10), multiple sclerosis (MS) (11, 12), as well as psychiatric diseases (1316).

In the human brain, the brainstem includes the midbrain and the pons and medulla oblongata of the hindbrain. The midbrain is the recipient of projections from cortex, limbic structures, and striatum, and exerts essential modulating influences on those descending and ascending projections (17, 18). The upper brainstem (19) is under-studied by MRS, even though it contains many integrative nuclei that mediate physiological functions disrupted in neurological disease (18). Numerous studies have been performed on the pathological brainstem involvement in patients with neurodegenerative disorders (2022). One QSM study showed that the pathological changes in the midbrain (elevated iron) have a direct relevance to the development of Parkinson’s Disease (PD) (23). Zarow et al. found that for both PD and AD the greatest neuronal loss was found in the pons (Locus coeruleus, LC), and demonstrated that neural loss in the pons and midbrain was correlated with the duration of these neurodegenerative disorders (24). Some found that the sites in the upper brainstem that are damaged are likely to contribute to the physiological deficits emerging in PD and obstructive sleep apnea (OSA) (18, 25). One study of GABA+ at 7 T in PD showed a correlation between GABA levels in the pons and the putamen (22). To our knowledge, no study has yet sought to measure GABA+ levels in the upper brainstem at 3T using MEGA-PRESS, likely because the small volume in upper brainstem makes voxel sizes (~27ml) used in most previous studies impossible (6, 2629). The objectives of this preliminary study were to measure the GABA+ levels of the upper brainstem in a small voxel (10 x 25 x 30 mm3) with MEGA-PRESS in healthy volunteers.

Methods

Participants

Between April 2018 and April 2019, 42 healthy volunteers (55% males and 45% females aged 20–76 years) were recruited to be scanned by 3T MRI. Written informed consent was obtained from each participant. The study was approved by the local institutional ethical review board. For all participants, exclusion criteria included contraindications for MRI and a history of alcohol or substance misuse.

MRS Acquisition

All MRI and MRS experiments were carried out using a 3T scanner (Achieva TX, Philips, Best, Netherlands) equipped with an eight-channel phased-array head coil.

Magnetic Resonance Spectroscopy

The MEGA-PRESS sequence generates two subspectra with the editing pulse ON in one and OFF in the other for GABA detection. The edited spectrum, which reveals the GABA+ signal, is obtained by subtracting one subspectrum from the other (30). MEGA-PRESS spectra were acquired from a 10 x 25 x 30 mm3 voxel in the upper brainstem. Based on axial images, the voxel was centered left-right and in the midbrain, with the posterior face aligned to the posterior face of the midbrain. Based on sagittal images, the voxel was positioned cranially/caudally so as to maximize inclusion of midbrain and pontine tissue, and minimizing the inclusion of cerebrospinal fluid, as shown in Figure 1. Figure 1D illustrates the typical voxel placement across 15 subjects.

FIGURE 1
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Figure 1 T1-weighted TFE images show the ROI’s position in the upper brainstem in a healthy volunteer. The white box represents the location of the ROI (10mm*25mm*30mm) in the axial (A), sagittal (B), and coronal (C) planes. Sagittal placement in 15 subjects illustrates the variable geometry and adjusted placement (D).

Sequence parameters were as follows: repetition time (TR) = 2 s; echo time (TE) = 68 ms; 320 averages; acquisition bandwidth = 2,000 Hz; Total acquisition time 10 min 56 sec; MOIST water suppression (31) and Philips pencil-beam (PB-auto) shimming (32) were used. Because the signals detected at 3.02 ppm using these experimental parameters is also expected to contain contributions from both macromolecules (MM) and homocarnosine, in this study the signal is labeled GABA+ rather than GABA (22).

Structural Magnetic Resonance

A whole-brain structural 3-dimensional MPRAGE (magnetization-prepared rapid-acquisition gradient echo) scan was acquired with 1 x 1 x 1 mm3 isotropic resolution (TR = 8.2 ms; TE = 3.7 ms; flip angle = 8°, matrix = 256 × 256; field of view = 24 × 24 cm2).

Magnetic Resonance Spectroscopy Data Analysis

MRS data were analyzed using the Gannet 3.1 software toolkit, a GABA-MRS analysis tool that is coded within MATLAB (The MathWorks, Inc., Natick, MA, USA) using the Optimization and Statistics toolboxes and is distributed as open-source software (33, 34). The analysis consisted of the following steps: (1) frequency-and-phase alignment of FIDs with robust spectral correction (35); (2) averaging and subtraction of aligned spectra to produce GABA+ spectra; (3) fitting a Gaussian to the 3-ppm GABA+ peak to quantify GABA+ based on the area under the curve. GABA+ levels were quantified in institutional units (i.u.) relative to the unsuppressed water signal. The version of Gannet used for this analysis has been archived on OSF at: https://osf.io/q92mb/.

The primary data quality metric generated by Matlab is fitting error (FitErr,%), calculated as the ratio of the standard deviation of the fitting residual to the GABA+ signal amplitude. A data quality cut-off of 15% (11, 27, 36) has been applied previously for brain applications with good SNR. In this study, we used a cut-off of 20% (37) to reject spectra of poor quality, using a less stringent criterion to reflect the lower SNR of the smaller-VOI (voxel of interest) brainstem acquisition. Using a 20% cut-off allows us to retain a larger number of datasets in the analysis, at the cost of increasing the variability of data to include poorer-quality data. The choice of an appropriate cut-off for future in vivo studies is a trade-off between variance and sample size (which both impact statistical power) and possible inclusion bias, e.g. only including data from more compliant subjects.

Metrics of GABA+ SNR and creatine signal linewidth are also calculated by Gannet and reported.

Statistical Analysis

Due to the large age-range of subjects, a secondary statistical analysis was performed to investigate whether the midbrain GABA+ level was correlated with age. The average GABA+ concentrations for the male and female participants were compared with a two-tailed unpaired t-test, using the concentrations derived with Gannet 3.1. Statistical analysis was performed in the Statistical Package for Social Sciences (SPSS version 20.0; IBM Corp., Armonk, NY). To evaluate age-related differences in GABA+ of upper brainstem, the Pearson correlation coefficient was calculated and a Fisher R-to-z transforms to assess significance with a p-threshold of 0.05.

Results

MRI scans were obtained on 42 healthy volunteers. Table 1 shows the demographics of these participants. The volunteer group is with mean age: 45.7 ± 14.7 years (19 females, 45.2%; 23 males, 54.8%).

TABLE 1
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Table 1 Demographics of all subjects.

GABA+ levels were 2.66 ± 0.75 i.u. in the healthy volunteers, ranging from 1.50 to 4.40 i.u (as shown in Table 2). The mean GABA FitErr for upper brainstem voxel of volunteers was 12.1 ± 2.8% (spectra with fitting error below 20% are shown in Figure 2). The median FitErr was 11.7%, and as can be seen in Figure 3A, the distribution of fitting errors is only moderately skewed (skewness = 0.772). 8 cases have a fitting error below 10%, 20 between 10 and 15%, 6 cases 15-20% and 8 cases over 20%, which were omitted from the analysis.

TABLE 2
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Table 2 Subject demographics and MRS results.

FIGURE 2
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Figure 2 In vivo GABA-edited spectra from the upper brainstem from 34 subjects (overlaid).

FIGURE 3
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Figure 3 Histograms of the distributions of fitting errors (A), linewidth (B), SNR (C).

The SNR is highly dependent on the experimental conditions and is modified by such factors as the field strength, voxel size, total acquisition time, TR, TE, J-coupling modulation, coil loading, and the number of nuclei in the sample. In this study the mean SNR for upper brainstem voxel of volunteers was 5.19 ± 1.09 (as seen in Figure 3). The median SNR was 5.11. The distribution of SNR is only moderately skewed (skewness = 0.164 > 0). The linewidth is determined by a combination of the inherent T2 of the spin system under consideration and the loss of phase coherence in the sample volume from B0 inhomogeneity caused by local differences in magnetic susceptibility. In our study the mean Cr linewidth was 8.7 ± 2.2 Hz. The median linewidth was 7.8 Hz (as seen in Figure 3). The distribution of linewidths is only moderately skewed (skewness = 1.5 > 0).

No significant correlations (p=0.215 > 0.05) with age were observed. There is no significant gender-related differences in the GABA+ levels in upper midbrain in the healthy volunteers (p=0.735>0.05).

Discussion

This study demonstrates the feasibility of GABA-edited MEGA-PRESS in the upper brainstem in a moderately sized cohort of healthy volunteers and serves as an important foundation for future patient studies in movement disorders.

The brainstem is a midline structure formed by the midbrain, pons, and medulla containing a number of critical substructures (38). The major dopaminergic (DA) neuronal population of the mammalian brain is located in the ventral midbrain (VM) (39). The role of the brainstem as a route for all major efferent and afferent pathways to the periphery relies heavily on GABAergic connectivity (17). Brainstem pathology is implicated in many neurodegenerative disorders, including PD (20, 21). Postmortem evidence in PD indicates that pathological changes in the pons and medulla precede those in the substantia nigra, a key area of neuronal loss (22). It is therefore desirable to develop an MRS measure of GABA in the brainstem.

Edited MRS of GABA is made challenging by the relatively low concentration of GABA, signal overlap, and large typical voxel sizes. In order to measure GABA levels in the brainstem, a small-region of interest (ROI) MEGA-PRESS protocol has been developed. In spite of the relatively unfavorable anatomy, the linewidth achieved (median 7.8 Hz) is comparable to that seen in parietal lobe of the Big GABA multi-site study (mean 7.7 Hz (31)). This narrow linewidth is aided by the small voxel size (10 x 25 x 30 mm3, compared to typical volumes of 30 x 30 x 30 mm3 in the brain (31)). The GABA SNR is substantially lower than the SNR in that study (5.1 vs. 25), which reduction is largely explained by the 72% reduction in acquisition volume. The remaining reduction in SNR is likely attributable to the greater distance between the midbrain and the receive coil elements.

While the brainstem is under-studied with MRS compared to many cortical regions, there is some literature applying conventional (unedited) MRS there. For example, one MRS study at 1.5T showed higher N-acetylaspartate (NAA)/creatine (Cr) ratios in a 7.5 x 7.5 x 10 mm3 voxel in bilateral rostral dorsal pons in patients with episodic migraine (EM) than those in patients with chronic migraine (CM) and normal controls (40). This study initiated the MRS scan if the water linewidth reported by the prescan process was less than 6 Hz. The ability of linear-combination modeling of conventional spectra and to resolve GABA signals without editing at 3T (and 7T) remains the subject of discussion. Macky et al. conducted conventional (unedited) PRESS-localized MRS at 3T in the midbrain (15 x 15 x 15 mm3 voxel) and reported no differences in the ratio of GABA:creatine in patients with OSA compared with controls (18). Uzay et al. performed unedited MRS at 7T in the midbrain (30 x 10 x 15 mm3 voxel), and showed the GABA+ level was increased in the pons in 11 patients with PD. In controls, the GABA+ level was 1.0 ± 0.2 mmol/g, with substantially larger relative variance than our study. One prior MEGA-PRESS pilot study showed GABA+ levels were significantly lower in the brainstems(25×18×30) of 12 possible Sleep Bruxism (SB) patients compared with 12 controls (41). This study conducted higher-order shimming to achieve linewidths of <25 Hz.

A number of studies have suggested that there is an age-related decrease of GABA+ levels in frontal and parietal regions in healthy control subjects (4, 4244). While this effect is largely driven by bulk tissue changes, GABA+ levels still correlate with cognitive function (42). No MRS studies have investigated age-related changes in GABA+ concentrations in the upper brainstem of HC. The current study found no significant relationship between GABA+ levels and age. It is not currently possible to determine whether this negative result is due to reduced sample size, increased measurement variance or reduced neurodegenerative aging of the brainstem. Previous studies examining age-related volumetric decline in the brainstem have found no age effects for the volume of the whole brainstem, metencephalon or medulla, with only the midbrain showing a trend for age-related shrinkage (45, 46). In our study, the ROI mainly consists of midbrain and pons. Besides, a number of studies have suggested that there is a gender-related difference of GABA+ levels in dorso-lateral prefrontal cortex (4, 47). However, one edited-MRS study (48) showed that there is no gender differences were detected in anterior cingulate cortex, which was consistent with our study. The current study found no significant relationship between GABA+ levels and gender.

An eight-channel head coil was employed in our study. It is likely that higher-order, e.g. 32-channel, coils and other hardware innovations such as digital receiver chain would deliver higher SNR data that reported here. Measures of gray and white matter volume, white matter connectivity (fractional anisotropy and diffusivity measures) and functional connectivity in resting state networks are improved with 32- rather than 8-channel receive hardware (49). One MRS study showed that 32-channel would be better than 8 or 16-channel in SNR variations due to different hardware, pulse sequences, and post-processing between imaging and spectral scans (50). However, in our results, the SNR (mean: 5.19 ± 1.09; median: 5.11) is acceptable. We are confident that this demonstration of feasibility on an 8-channel head coil is applicable to other scanners with 32-channel hardware.

This study has several limitations. Firstly, the MEGA-PRESS sequence parameters give a GABA+ signal contaminated with MM and homocarnosine signals. Editing-based methods have been proposed to suppress the MM contribution (51), but the degree of MM suppression (and the polarity of the MM residual signal) is highly dependent on changes in the scanner frequency associated with motion and gradient heating (6). Secondly, the small size of the brainstem requires a small voxel. This results in a GABA+ measurement that has substantially lower SNR than is commonly achieved for brain measurements using a larger voxel. However, even though the voxel size is small for GABA MRS, it is large relative to the complex internal anatomy of the brainstem and includes a number of distinct structures without differentiation. This is a limitation inherent to MRS of low-concentration metabolites. We also recognize that the lack of a gold standard for validation is a general concern for MRS measurements. Phantom validation of MRS protocols can be performed (and will indicate good linearity of measurements), but the challenges of MRS in the brainstem mostly center around subject and physiological motion, and local magnetic inhomogeneity, which phantom measurements do not address.

In conclusion, we have demonstrated that it is feasible to measure GABA+ levels in the upper brainstem using MEGA-PRESS. Understanding alterations in upper brainstem neurotransmitters will provide insight into pathological dysfunction in neurodegenerative disorders.

Data Availability Statement

All datasets generated for this study are included in the article/supplementary material.

Ethics Statement

The studies involving human participants were reviewed and approved by the Ethics Committee of Shandong Medical Imaging Research Institute. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from each participant for the publication of any potentially identifiable images or data included in this article.

Author Contributions

YS and TG contributed conception and design of the study. YS and TG organized the database. YS performed the statistical analysis. YS wrote the first draft of the manuscript. RE and GW revised the manuscript. All authors contributed to the article and approved the submitted version. The corresponding author GW takes primary responsibility for communication with the journal and editorial office during the submission process, throughout peer review, and during publication. The corresponding author GW is also responsible for ensuring that the submission adheres to all journal requirements including, but not exclusive to, details of authorship, study ethics and ethics approval, clinical trial registration documents and conflict of interest declaration. The corresponding author GW should also be available post-publication to respond to any queries or critiques.

Funding

This study applies tools developed under NIH grants R01 EB016089 and P41 EB015909; RAEE also receives salary support from these grants. This project was also funded by National Natural Science Foundation of China(81671668;81371534), Major research project of Shandong province(2016ZDJS07A16). Wang G also receives salary support from these grants.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Mullins PG, McGonigle DJ, O'Gorman RL, Puts NAJ, Vidyasagar R, Evans CJ, et al. Current practice in the use of MEGA-PRESS spectroscopy for the detection of GABA. Neuroimage (2014) 86:43–52. doi: 10.1016/j.neuroimage.2012.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lee KJ, Shim I, Sung JH, Hong JT, Kim IS, Cho CB. Striatal Glutamate and GABA after High Frequency Subthalamic Stimulation in Parkinsonian Rat. J Korean Neurosurg Soc (2017) 60(2):138–45. doi: 10.3340/jkns.2016.0202.020

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Elmaki EEA, Gong T, Nkonika DM, Wang GB. Examining alterations in GABA concentrations in the basal ganglia of patients with Parkinson’s disease using MEGA-PRESS MRS. Jpn J Of Radiol (2018) 36(3):194–9. doi: 10.1007/s11604-017-0714-z

CrossRef Full Text | Google Scholar

4. Gao F, Edden RA, Li M, Puts NA, Wang G, Liu C, et al. Edited magnetic resonance spectroscopy detects an age-related decline in brain GABA levels. Neuroimage (2013) 78:75–82. doi: 10.1016/j.neuroimage.2013.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Bai X, Harris AD, Gong T, Puts NAJ, Wang G, Schar M, et al. Voxel Placement Precision for GABA-Edited Magnetic Resonance Spectroscopy. Open J Radiol (2017) 7(1):35–44. doi: 10.4236/ojrad.2017.71004

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Harris AD, Puts NAJ, Barker PB, Edden RAE. Spectral-Editing Measurements of GABA in the Human Brain with and without Macromolecule Suppression. Magn Reson In Med (2015) 74(6):1523–9. doi: 10.1002/mrm.25549

CrossRef Full Text | Google Scholar

7. Shungu DC, Mao XL, Gonzales R, Soones TN, Dyke JP, van der Veen JW, et al. Brain -aminobutyric acid (GABA) detection in vivo with the J-editing H-1 MRS technique: a comprehensive methodological evaluation of sensitivity enhancement, macromolecule contamination and test-retest reliability. NMR Biomed (2016) 29(7):932–42. doi: 10.1002/nbm.3539

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Greenhouse I, Noah S, Maddock RJ, Ivry RB. Individual differences in GABA content are reliable but are not uniform across the human cortex. Neuroimage (2016) 139:1–7. doi: 10.1016/j.neuroimage.2016.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Bai X, Edden RA, Gao F, Wang G, Wu L, Zhao B, et al. Decreased gamma-aminobutyric acid levels in the parietal region of patients with Alzheimer’s disease. J Magn Reson Imaging (2015) 41(5):1326–31. doi: 10.1002/jmri.24665

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Chiang GC, Mao X, Kang G, Chang E, Pandya S, Vallabhajosula S, et al. Relationships among Cortical Glutathione Levels, Brain Amyloidosis, and Memory in Healthy Older Adults Investigated In Vivo with H-1-MRS and Pittsburgh Compound-B PET. Am J Of Neuroradiol (2017) 38(6):1130–7. doi: 10.3174/ajnr.A5143

CrossRef Full Text | Google Scholar

11. Cao GM, Edden RAE, Gao F, Li H, Gong T, Chen WB, et al. Reduced GABA levels correlate with cognitive impairment in patients with relapsing-remitting multiple sclerosis. Eur Radiol (2018) 28(3):1140–8. doi: 10.1007/s00330-017-5064-9

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Cawley N, Solanky BS, Muhlert N, Tur C, Edden RAE, Wheeler-Kingshott CAM, et al. Reduced gamma-aminobutyric acid concentration is associated with physical disability in progressive multiple sclerosis. Brain (2015) 138:2584–95. doi: 10.1093/brain/awv209

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Puts NA, Wodka EL, Tommerdahl M, Mostofsky SH, Edden RA. Impaired tactile processing in children with autism spectrum disorder. J Neurophysiol (2014) 111(9):1803–11. doi: 10.1152/jn.00890.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

14. de la Fuente-Sandoval C, Reyes-Madrigal F, Mao X, Leon-Ortiz P, Rodriguez-Mayoral O, Jung-Cook H, et al. Prefrontal and Striatal Gamma-Aminobutyric Acid Levels and the Effect of Antipsychotic Treatment in First-Episode Psychosis Patients. Biol Psychiatry (2018) 83(6):475–83. doi: 10.1016/j.biopsych.2017.09.028

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Freed RD, Hollenhorst CN, Weiduschat N, Mao X, Kang G, Shungu DC, et al. A pilot study of cortical glutathione in youth with depression. Psychiatry Res Neuroimaging (2017) 270:54–60. doi: 10.1016/j.pscychresns.2017.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Maddock RJ, Caton MD, Ragland JD. Estimating glutamate and Glx from GABA-optimized MEGA-PRESS: Off-resonance but not difference spectra values correspond to PRESS values. Psychiatry Res Neuroimaging (2018) 279:22–30. doi: 10.1016/j.pscychresns.2018.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Brodski C, Blaess S, Partanen J, Prakash N. Crosstalk of Intercellular Signaling Pathways in the Generation of Midbrain Dopaminergic Neurons In Vivo and from Stem Cells. J Dev Biol (2019) 7(1):3. doi: 10.3390/jdb7010003

CrossRef Full Text | Google Scholar

18. Macey PM, Sarma MK, Prasad JP, Ogren JA, Aysola R, Harper RM, et al. Obstructive Sleep Apnea Is Associated with Altered Midbrain Chemical Concentrations. Neuroscience (2017) 363:76–86. doi: 10.1016/j.neuroscience.2017.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Snyder AZ, Perlmutter JS, Hacker CD. Reply: Levodopa increases functional connectivity in the cerebellum and brainstem in Parkinson’s disease. Brain (2013) 136(7):e235. doi: 10.1093/brain/awt016

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Grinberg LT, Rueb U, Alho AT, Heinsen H. Brainstem pathology and non-motor symptoms in PD. J Neurol Sci (2010) 289(1-2):81–8. doi: 10.1016/j.jns.2009.08.021

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Grinberg LT, Rueb U, Heinsen H. Brainstem: neglected locus in neurodegenerative diseases. Front Neurol (2011) 2:42. doi: 10.3389/fneur.2011.00042

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Emir UE, Tuite PJ, Oz G. Elevated pontine and putamenal GABA levels in mild-moderate Parkinson disease detected by 7 tesla proton MRS. PloS One (2012) 7(1):e30918. doi: 10.1371/journal.pone.0030918

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Du G, Liu T, Lewis MM, Kong L, Wang Y, Connor J, et al. Quantitative susceptibility mapping of the midbrain in Parkinson’s disease. Mov Disord (2016) 31(3):317–24. doi: 10.1002/mds.26417

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Zarow C, Lyness SA, Mortimer JA, Chui HC. Neuronal loss is greater in the locus coeruleus than nucleus basalis and substantia nigra in Alzheimer and Parkinson diseases. Arch Neurol (2003) 60(3):337–41. doi: 10.1001/archneur.60.3.337

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Braak H, Rub U, Del Tredici K. Cognitive decline correlates with neuropathological stage in Parkinson’s disease. J Neurol Sci (2006) 248(1-2):255–8. doi: 10.1016/j.jns.2006.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Liu B, Yang H, Gao F, Wang Q, Zhao B, Gong T, et al. Investigation of brain GABA plus in primary hypothyroidism using edited proton MR spectroscopy. Clin Endocrinol (2017) 86(2):256–62. doi: 10.1111/cen.13177

CrossRef Full Text | Google Scholar

27. Gao F, Wang G, Ma W, Ren F, Li M, Dong Y, et al. Decreased auditory GABA+ concentrations in presbycusis demonstrated by edited magnetic resonance spectroscopy. Neuroimage (2015) 106:311–6. doi: 10.1016/j.neuroimage.2014.11.023

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Oeltzschner G, Snoussi K, Puts NA, Mikkelsen M, Harris AD, Pradhan S, et al. Effects of eddy currents on selective spectral editing experiments at 3T. J Magn Reson Imaging (2018) 47(3):673–81. doi: 10.1002/jmri.25813

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Evans CJ, McGonigle DJ, Edden RAE. Diurnal Stability of gamma-aminobutyric Acid Concentration in Visual and Sensorimotor Cortex. J Magn Reson Imaging (2010) 31(1):204–9. doi: 10.1002/jmri.21996

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Michou E, Williams S, Vidyasagar R, Downey D, Mistry S, Edden RA, et al. fMRI and MRS measures of neuroplasticity in the pharyngeal motor cortex. Neuroimage (2015) 117:1–10. doi: 10.1016/j.neuroimage.2015.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Mikkelsen M, Barker PB, Bhattacharyya PK, Brix MK, Buur PF, Cecil KM, et al. Big GABA: Edited MR spectroscopy at 24 research sites. Neuroimage (2017) 159:32–45. doi: 10.1016/j.neuroimage.2017.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Harris AD, Puts NA, Edden RA. Tissue correction for GABA-edited MRS: Considerations of voxel composition, tissue segmentation, and tissue relaxations. J Magn Reson Imaging (2015) 42(5):1431–40. doi: 10.1002/jmri.24903

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Myers JFM, Evans CJ, Kalk NJ, Edden RAE, Lingford-Hughes AR. Measurement of GABA Using J-Difference Edited H-1-MRS Following Modulation of Synaptic GABA Concentration with Tiagabine. Synapse (2014) 68(8):355–62. doi: 10.1002/syn.21747

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Edden RA, Puts NA, Harris AD, Barker PB, Evans CJ. Gannet: A batch-processing tool for the quantitative analysis of gamma-aminobutyric acid-edited MR spectroscopy spectra. J Magn Reson Imaging (2014) 40(6):1445–52. doi: 10.1002/jmri.24478

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Mikkelsen M, Rimbault DL, Barker PB, Bhattacharyya PK, Brix MK, Buur PF, et al. Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites. Neuroimage (2019) 191:537–48. doi: 10.1016/j.neuroimage.2019.02.059

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Wenneberg C, Nordentoft M, Rostrup E, Glenthoj LB, Bojesen KB, Fagerlund B, et al. Cerebral Glutamate and Gamma-Aminobutyric Acid Levels in Individuals at Ultra-high Risk for Psychosis and the Association With Clinical Symptoms and Cognition. Biol Psychiatry Cognit Neurosci Neuroimaging (2020) 5(6):569–79. doi: 10.1016/j.bpsc.2019.12.005

CrossRef Full Text | Google Scholar

37. Kurcyus K, Annac E, Hanning NM, Harris AD, Oeltzschner G, Edden R, et al. Opposite Dynamics of GABA and Glutamate Levels in the Occipital Cortex during Visual Processing. J Neurosci (2018) 38(46):9967–76. doi: 10.1523/JNEUROSCI.1214-18.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kakkar C, Kakkar S, Saggar K, Goraya JS, Ahluwalia A, Arora A. Paediatric brainstem: A comprehensive review of pathologies on MR imaging. Insights Imaging (2016) 7(4):505–22. doi: 10.1007/s13244-016-0496-3

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Bjorklund A, Dunnett SB. Dopamine neuron systems in the brain: an update. Trends Neurosci (2007) 30(5):194–202. doi: 10.1016/j.tins.2007.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Lai TH, Fuh JL, Lirng JF, Lin CP, Wang SJ. Brainstem 1H-MR spectroscopy in episodic and chronic migraine. J Headache Pain (2012) 13(8):645–51. doi: 10.1007/s10194-012-0491-0

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Fan X, Qu F, Wang JJ, Du X, Liu WC. Decreased gamma-aminobutyric acid levels in the brainstem in patients with possible sleep bruxism: A pilot study. J Oral Rehabil (2017) 44(12):934–40. doi: 10.1111/joor.12572

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Porges EC, Woods AJ, Edden RA, Puts NA, Harris AD, Chen H, et al. Frontal Gamma-Aminobutyric Acid Concentrations Are Associated With Cognitive Performance in Older Adults. Biol Psychiatry Cognit Neurosci Neuroimaging (2017) 2(1):38–44. doi: 10.1016/j.bpsc.2016.06.004

CrossRef Full Text | Google Scholar

43. Porges EC, Woods AJ, Lamb DG, Williamson JB, Cohen RA, Edden RAE, et al. Impact of tissue correction strategy on GABA-edited MRS findings. Neuroimage (2017) 162:249–56. doi: 10.1016/j.neuroimage.2017.08.073

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Pauwels L, Maes C, Hermans L, Swinnen SP. Motor inhibition efficiency in healthy aging: the role of gamma-aminobutyric acid. Neural Regener Res (2019) 14(5):741–4. doi: 10.4103/1673-5374.249216

CrossRef Full Text | Google Scholar

45. Garbade SF, Boy N, Heringer J, Kolker S, Harting I. Age-Related Changes and Reference Values of Bicaudate Ratio and Sagittal Brainstem Diameters on MRI. Neuropediatrics (2018) 49(4):269–75. doi: 10.1055/s-0038-1660475

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Luft AR, Skalej M, Schulz JB, Welte D, Kolb R, Burk K, et al. Patterns of age-related shrinkage in cerebellum and brainstem observed in vivo using three-dimensional MRI volumetry. Cereb Cortex (1999) 9(7):712–21. doi: 10.1093/cercor/9.7.712

PubMed Abstract | CrossRef Full Text | Google Scholar

47. O’Gorman RL, Michels L, Edden RA, Murdoch JB, Martin E. In vivo detection of GABA and glutamate with MEGA-PRESS: reproducibility and gender effects. J Magn Reson Imaging (2011) 33(5):1262–7. doi: 10.1002/jmri.22520

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Aufhaus E, Weber-Fahr W, Sack M, Tunc-Skarka N, Oberthuer G, Hoerst M, et al. Absence of changes in GABA concentrations with age and gender in the human anterior cingulate cortex: a MEGA-PRESS study with symmetric editing pulse frequencies for macromolecule suppression. Magn Reson Med (2013) 69(2):317–20. doi: 10.1002/mrm.24257

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Panman JL, To YY, van der Ende EL, Poos JM, Jiskoot LC, Meeter LHH, et al. Bias Introduced by Multiple Head Coils in MRI Research: An 8 Channel and 32 Channel Coil Comparison. Front Neurosci (2019) 13:729. doi: 10.3389/fnins.2019.00729

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Lin Y, Chen Z, Zhong J. Signal-to-noise ratio enhancement of intermolecular double-quantum coherence MR spectroscopy in inhomogeneous fields with phased array coils on a 3 Tesla whole-body scanner. J Magn Reson Imaging (2011) 33(3):698–703. doi: 10.1002/jmri.22434

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Henry ME, Lauriat TL, Shanahan M, Renshaw PF, Jensen JE. Accuracy and stability of measuring GABA, glutamate, and glutamine by proton magnetic resonance spectroscopy: A phantom study at 4 Tesla. J Of Magn Reson (2011) 208(2):210–8. doi: 10.1016/j.jmr.2010.11.003

CrossRef Full Text | Google Scholar

Keywords: GABA, MRI, MEGA-PRESS, brainstem, spectroscopy

Citation: Song Y, Gong T, Edden RAE and Wang G (2020) Feasibility of Measuring GABA Levels in the Upper Brainstem in Healthy Volunteers Using Edited MRS. Front. Psychiatry 11:813. doi: 10.3389/fpsyt.2020.00813

Received: 31 January 2020; Accepted: 28 July 2020;
Published: 14 August 2020.

Edited by:

Guido van Wingen, University of Amsterdam, Netherlands

Reviewed by:

Frank P. MacMaster, University of Calgary, Canada
Nithya Ramakrishnan, Baylor College of Medicine, United States

Copyright © 2020 Song, Gong, Edden and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Guangbin Wang, cjr.wangguangbin@vip.163.com