Synopsis
Several studies have characterized short and long term reproducibility of Glx and GABA+, but not macromolecule (MM) suppressed GABA. Further, gender-related differences have been observed in GABA+, but these may, in part, be due to inter-individual variations of MM. Motion and magnetic field inhomogeneity can hamper the consistent application of frequency-selective pulses at 1.7ppm necessary for effective GABA editing. We demonstrate that the shim and motion-navigated MEGA-SPECIAL sequence produces well-edited GABA and Glx spectra. LCModel quantification yields the best reproducibility. Observed gender-related differences in GABA highlight the need for gender-matching in studies investigating differences in GABA concentrations.Purpose
GABA+
(GABA+ macromolecules (MM)) – along with Glutamate + Glutamine (Glx) – are
measured through spectral editing methods, such as the MEGA-SPECIAL (MSpc)
sequence
(1). Although studies have characterized short and long term
reproducibility of GABA+
(2-3) and compared effects of using
different analysis strategies, this has not been done for MM-suppressed GABA. Gender-related
differences in GABA+ concentration have also been observed
(3). The relative contribution of MM, however, varies
between 40-60%
(1) of the total GABA+ signal in individuals and may
account for some of these differences. Furthermore, instability in the initial
prepared shim of the MRI scanner, which arises due to several factors including
incidental motion, may alter concentration estimates
(4). The aims of
this study were (i) to use MM-suppressed navigated MSpc
(4), which
performs real time motion and shim correction, to compare intra-subject short
term reproducibility of GABA and Glx concentrations obtained using GANNET
(5),
LCModel
(6), and jMRUI
(7), and (ii) to investigate
gender-related differences in GABA and Glx concentrations in healthy subjects.
Methods
All protocols and experiments were approved by
the local institutional Human Research Ethics Committee. Scans were performed
on a Siemens Allegra 3T scanner. 26 healthy subjects (13 female; age range: 20-29
years) with no history of neurological or psychiatric disorders were scanned. A
T1-weighted and 4 motion and shim corrected MSpc
(4) scans were
acquired in a single session. Two spectra were acquired from each of two regions,
the anterior cingulate cortex (ACC) and medial-parietal cortex (PAR), with the order
interleaved. The MSpc parameters were as follows: TR/TE 4000/68 ms and 160
averages. The voxel sizes were: ACC: 20
× 30 ×40 mm
3 and PAR: 30 × 30 ×30 mm
3. Water unsuppressed
data with four averages were acquired from every region. Water scaled metabolite concentrations were
derived from LCModel, GANNET and AMARES in jMRUI
(5-7). The T1 images
were segmented using SPM12 (http://www.fil.ion.ucl.ac.uk/spm/software) to
determine grey matter (GM) white matter (WM) and CSF fractions. The concentrations
were corrected for CSF contamination and relaxation effects
(3). Reproducibility
was compared for GABA and Glx concentrations derived using each of the analysis
packages by computing for each subject the coefficient of variation (CV =
mean/standard deviation (SD)) from the pair of measurements in each region. The
mean CV across subjects were compared for each analysis package. Mean GABA and
Glx concentrations derived from LCModel in each region were compared in males
and females using a 2-tailed t-test. Linear regression was used to control for
differences in GM ratio (GM/(GM+WM)) between males and females.
Results
Figure 1 shows a typical MSpc edited spectrum with GABA at 3 ppm
and Glx at 3.75 ppm, which were observed in all subjects. Table 1 shows how the
CV
differs in each region for GABA and Glx concentrations derived using each of
the analysis packages. Reproducibility of GABA and
Glx was highest in both regions when using LCModel, followed by JMRUI and
GANNET. GM fraction tended to be higher in males (ACC; PAR: p=0.06; p=0.10), while WM fraction in females was higher in ACC (p=0.01) and tended to be higher in PAR (p=0.06). Males had significantly higher
GABA in PAR (Figure 2), which remained significant after controlling for
differences in GM ratio (β = -0.46, p = 0.031). No gender-related
differences were found in Glx concentration.
Discussion
GABA
acquisition without MM requires editing pulses to be applied consistently at
1.7 ppm
(1), which can be hampered by motion and motion-related magnetic
field inhomogeneity. In our study we implemented a motion and shim navigated
MSpc sequence to allow prospective motion and frequency correction for effective
MM suppression
(4). The resulting GABA and Glx peaks were highly
reproducible using LCModel, similar to results from a previous study
(3).
The higher GABA concentration found here in males in PAR is in agreement with findings
from a previous study using MEGA-PRESS that reported higher GABA+
concentrations in males in a region in the left dorsolateral prefrontal cortex
(3).
Another study using MM-suppressed MEGA-PRESS
(8) did not find gender
differences in the ACC. These results suggest that gender differences may be
localised. Further, the fact that gender-related differences have been observed
in GABA+
(3) and GABA may indicate that contributions from MM are
similar in males and females so that gender differences are not impacted.
Conclusion
The shim and motion navigated MSpc sequence
produced well edited GABA and Glx spectra. Both GABA and Glx can be quantified
with best reproducibility using LCModel. Regional gender-related differences in
GABA emphasize the importance of gender-matching for studies investigating differences
in GABA concentrations.
Acknowledgements
The
South African Research Chairs Initiative of the Department of Science and
Technology and National Research Foundation of South Africa, Medical Research
Council of South Africa, NIH grants R21AA017410, R21MH096559, R01HD071664. We
would like to thank Dr. Aaron Hess for the helpful discussion and technical advice.References
(1) Near J,
Simpson R, Cowen P, et al. Efficient γ-aminobutyric acid editing at 3T without
macromolecule contamination: MEGA-SPECIAL. NMR in Biomed. 2011,
24(10):1277-1285. (2) Near J, Ho Y-CL, Sandberg K, et al. Long-term
reproducibility of GABA magnetic resonance spectroscopy. Neuroimage 2014,
99:191-196. (3) O'Gorman RL, Michels L, Edden RA, et al. In vivo detection of
GABA and glutamate with MEGA-PRESS: Reproducibility and gender effects. JMRI.
2011, 33:1262-1267. (4) Saleh MG, Alhamud A, Near J, et al. Volumetric
navigated MEGA-SPECIAL for real-time motion and shim corrected GABA editing.
NMR Biomed. 2015; in press. (5) Edden RA, Puts NA, Harris AD, et al. Gannet: A
batch-processing tool for the quantitative analysis of gamma-aminobutyric
acid–edited MR spectroscopy spectra. JMRI. 2013. (6) Provencher SW. Automatic
quantitation of localized in vivo1H spectra with LCModel. NMR in Biomed. 2001,
14:260-264. (7) Stefan D, Di Cesare F, Andrasescu A, et al. Quantitation of
magnetic resonance spectroscopy signals: the jMRUI software package. Measurement
Science and Technology 2009, 20:104035. (8) Aufhaus E, Weber-Fahr W, 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. MRM. 2013; 69(2):317-320.