Elodie Boudes1,2, Rachelle S Loo1,2, Kari AL Parsons1,2, Gareth J Barker3, David Lythgoe3, Richard AE Edden4,5, R Marc Lebel6, Martin P Wilson7, and Ashley D Harris1,2
1Radiology, University of Calgary, Calgary, AB, Canada, 2CAIR Program, Alberta Children's Hospital Research Institute and Hotchkiss Brain Institute, University of Calgary, 3Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 4Radiology, The Johns Hopkins School of Medicine, 5F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 6General Electric Healthcare, 7School of Psychology, University of Birmingham
Synopsis
Mixed
glutamate/glutamine (GLX) signal contributes to spectra acquired for GABA
editing, both as a co-edited peak in the difference spectrum and in the OFF subspectrum.
GLX results are often included in GABA studies, but the reliability of these
metrics has received little attention. In this study, we examine the
relationship between GLX measures, using a short-TE PRESS as a “gold standard”,
and comparing GLX measured from the co-edited peak and the OFF subspectrum from
typical GABA+ and macromolecule-suppressed GABA acquisitions.
Purpose
Glutamate (Glu) is the primary excitatory neurotransmitter and GABA is
the primary inhibitory neurotransmitter in the human brain. While the
individual metabolite levels can be informative, measuring both GABA and
glutamate can provide insight to the inhibitory-excitatory balance.
Both glutamate and GABA are present on the 1H spectrum. Due to the spectral overlap of glutamate and glutamine, GLX, representing the combination of
glutamate+glutamine is typically reported. GLX is typically measured using a conventional
PRESS sequence. Due to limited chemical
shift displacement and overlap with more abundant metabolites, editing
is required in order to measure GABA; the most typical method is using a MEGA-PRESS
acquisition [1]. The two typical GABA-edited implementations are (1) the
traditional MEGA-PRESS acquisition, spectra from which contain macromolecule (MM)
contamination due to the limited selectivity of the editing pulses (GABA+) or
(2) the MM-suppressed implementation, which applies the “OFF” editing pulse
symmetric about the MM peak to limit MM contamination [2,3].
Because the balance of inhibition and excitation is of great interest in
many studies, it is desirable to acquire this data simultaneously, not only to
reduce scan duration but also to ensure measurements are made in the same tissue.
Within the GABA-edited data, there is information about GLX, both as a
co-edited peak in the difference spectrum and within the OFF-subspectrum. The purpose of this study was to
examine the reliability of these measures of GLX (OFF-subspecturm GLX and
co-edited GLX peak) from GABA-edited data (both GABA+ and MM-suppressed
GABA methods), using a conventional PRESS acquisition as a “gold standard” for
the GLX measures.
Methods
Ten right-handed males (average age 22.6±4.06 y) with no history of neurological,
psychological, or psychiatric illnesses were scanned on a 3T GE 750w scanner
(General Electric Healthcare, USA) with a 32-channel head coil twice
within a week at a similar time during the day and using the same protocol.
Data were acquired from a 3x3x3cm3 voxel in the left sensorimotor
cortex. Three MRS acquisitions were performed: (1) short-echo PRESS
(SE-PRESS; TR/TE = 1.8s/35 ms, 64 averages. (2) GABA+ (TR/TE = 1.8s/68ms, 320
averages, editing pulses of 14 ms at 1.9 ppm (‘ON’) and 7.46 ppm (‘OFF’). (3) MM-suppressed
GABA (TR/TE = 1.8s/80ms, 20 ms editing pulses; ON at 1.9 ppm and OFF at 1.5 ppm). Data were analyzed using Tarquin(4.3.10)
[4], using standard settings, including retrospective frequency correction. GLX
levels were quantified using the unsuppressed water signal measured from the
same volume as a reference. The
co-edited GLX signal and the GLX signal from the OFF subspectrum from both the
GABA+ and the MM-suppressed GABA data were compared to the GLX from the
SE-PRESS data using correlation analysis. Statistics were performed using SPSS
version 24.
Results
One SE-PRESS dataset was not available due to technical
difficulty and one was discarded due to poor spectral quality. Example spectra
from one session of one participant are shown in Figure 1. Among
the 18 complete datasets, significant correlations were seen between the GLX
measures from the SE-PRESS and co-edited GABA+ (r=0.59, p=0.010) and between
SE-PRESS and co-edited MM-suppressed GABA r=0.55 (p=0.019). However, the
correlation between the SE-PRESS and OFF sub-spectrum for the GABA+ was non-significant
(r=0.36, p=0.16), while the correlation between the SE-PRESS and OFF
sub-spectrum MM-suppressed was significant (r=0.645, p=0.004).Discussion
As it is often desirable to simultaneously quantify
GLX and GABA, we aimed to investigate the reliability of using either the
co-edited GLX peak or the OFF subspectrum from GABA-edited data to quantify
GLX. In 18 complete datasets, we show that for both GABA+ and MM-suppressed
GABA acquisitions, the co-edited GLX peak is significantly correlated with GLX as measured
from a SE-PRESS and is therefore a relatively reliable measure. Data were collected in a 27 ml voxel in the
sensorimotor cortex. Different locations
that are more susceptible to artifacts or poor shim need investigation to
confirm this finding. Previous work [5], has suggested increasing the bandwidth
of the editing pulses increases the co-edited GLX signal, which may further
increase the reliability of using the co-edited GLX peak to reliably indicate
GLX.
Surprisingly, the GLX as measured from the
OFF-subspectrum in GABA+ data was not correlated with the SE-PRESS GLX
measures, indicating it is not a surrogate for GLX.Conclusion
The co-edited GLX peak from both GABA+ and
MM-suppressed GABA acquisitions is a reliable measure of GLX, when using GLX
measured from SE-PRESS data as a gold standard. The reliability of the GLX from
the OFF-subspectrum from a GABA+ acquisition is not reliable.Acknowledgements
The authors thank the University of Calgary's University Research Grants Committee and NSERC i3T summer studentship program for funding .
References
[1] Mullins et al. 2014 NeuroImage 86:43-52.
[2] Henry et al. 2001. Magn Reson Med 45:517–520
[3] Edden et al. 2012. Magn Reson Med 68:657–661
[4] Wilson et al. 2011. Magn Reson Med 65:1–12
[5] Snoussi et al. 2015. Proc ISMRM, p 4694