Michal Považan1,2, Petra Hnilicová3, Gilbert Hangel1, Bernhard Strasser1, Ovidiu Andronesi4, Stephan Gruber1, Siegfried Trattnig1,2, and Wolfgang Bogner1,2
1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Jessenius Faculty of Medicine in Martin, Biomedical Center Martin, Division of Neurosciences, Comenius University in Bratislava, Martin, Slovakia, 4Harvard Medical School, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
Synopsis
In GABA-edited spectroscopy signal of macromolecules
overlaps the signal of GABA. This macromolecular contribution to GABA signal
(GABA+) is variable throughout the brain and can bias the quantification. We
aimed to map the signal of macromolecules at 2.99 ppm using metabolite-nulled
3D MEGA-LASER MRSI. We found the GABA+/total creatine to be higher in white
matter (45%), which contradicts the literature. The MM2.99ppm was
found higher in white matter as well (24%). The macromolecular tissue
distribution is among other factors affecting the GABA+ signal, therefore the
detection of GABA is preferable to GABA+ if the removal of macromolecules is
possible.
Purpose
Gamma-aminobutyric acid (GABA) is considered to be the
most prominent inhibitory neurotransmitter in the human brain. GABA-edited 1H
magnetic resonance spectroscopy has shown to be a valuable technique to detect
brain GABA levels in vivo. However in
conventional GABA-edited MRS, the signal of macromolecules (MM) at 2.99 ppm is
superimposed on the signal of GABA at 3.00 ppm due to co-editing. The MM
contamination can be as high as 50%1, thus
biasing the GABA quantification. Even though several approaches to handle MM
were introduced2–4 many groups
still report only GABA+ values. The GABA concentration has been reported two
times higher in gray matter (GM) than white matter (WM)5. MM
signals were found to be variable throughout the brain volume even in a healthy
brain6. In
addition, our previous studies at 7T have shown a higher concentration of MM
peaks around 3 ppm in WM (Fig.1), as opposed to a major MM peak at 0.91 ppm. Hence
the MM contribution to GABA+ may vary if GABA-edited MRSI is utilized and may
substantially affect the GABA estimation. The objective of this study was to
detect and map the MM signal at 2.99 ppm by including a pre-inversion
into the MEGA-LASER 3D-MRSI sequence and discuss the possible influence on
GABA+ signal.Methods
Seventeen healthy volunteers (9 males, with mean age
of 29±6) were measured on a TIM Trio 3 T (Siemens Healthcare, Erlangen,
Germany). A body coil was used for transmission and a 32‐channel head coil was used for signal reception
(Siemens Healthcare). Constant‐density,
spiral‐encoded,
3D‐MRSI
sequence with MEGA‐LASER
editing and real‐time
motion, shim and frequency correction was used as described previously7,8. Fourteen
volunteers were measured with the following parameters: TR=1.6s, TE=68ms, Gaussian
editing pulses (60 Hz bandwidth/ 14.8 ms duration), 16 averages, VOI= 80 × 85 ×
60mm3, matrix size of 14 × 14 × 12 (i.e. ~3 cm3 nominal
voxel size) interpolated to 16 × 16 × 16 matrix. A WURST inversion pulse (5ms,
1300Hz) was implemented in the sequence prior to the excitation to achieve metabolite-nulling
(TR=1.8s, TE=68ms, TI=625ms, 22 averages) in the remaining three volunteers. To determine an optimal inversion
time a simulation and an inversion recovery experiment were carried out (Fig.2A).
Spectral pre-processing including baseline correction and frequency alignment
was done using in-house developed software. Spectra were quantified using
LCModel 6.3 except of the signal of MM2.99ppm which was quantified
by integration of the spectrum from 2.96-3.04 ppm. Tissue maps were derived from
a T1-weighted MPRAGE image using FAST (FSL 5.0) and convoluted with the
spatial response function of the MRSI (Fig.3A).Results
The relative
concentration of Glx/tCr (Glutamine+Glutamate/Creatine+Phosphocreatine) was
observed higher in pure GM by 26% whereas the GABA+/tCr (GABA+Macromolecules/
Creatine+Phosphocreatine) was higher in pure WM by 45% (Fig.4). We could detect
the signal of MM2.99ppm by nulling the signal of metabolites
(Fig.1B) as well as map this signal in three-dimensional volume of interest
(Fig.3B). MM2.99ppm appears to be higher in average by 24% in pure
WM compared with pure GM (Fig.5).Discussion/Conclusion
The observed higher
WM GABA+ signal is in contradiction to previous studies5,9,10 (Glx signal on the other hand corresponds to
literature). In Zhu et al.10 the ratio of GABA+/water measured by GABA-MRSI
was found to be higher in GM. Furthermore elevated GM GABA(+) concentration
correspond to GABA physiology5. In our study, the underlying MM signal at 2.99
ppm may partially contribute to the GABA+ concentration discrepancy, as it
follows similar trend, however the higher MM in WM is most likely not the only
effect. The values from relatively big VOI plotted against the tissue volume
fraction may as well contain the effects of anatomical and regional variations
of GABA. The signal of total creatine used as an internal reference may also
influence the WM/GM differences since Cr concentration is higher in GM (by 45%,
data not shown). The findings of this
study are by no means final and a more thorough investigation will follow. MEGA-LASER
and MEGA-PRESS MM contributions have to be analyzed and compared to clarify the
differences with literature. A utilization of more advanced fitting approach
(e.g. GANNET) to fit MM peak is desirable.
We were able to
detect and map the MM resonance at 2.99 ppm that is co-edited with GABA. This
MM signal was higher in WM compared with GM. The MM distribution, among other
factors, is reflected in the detected GABA+ signal. Therefore, especially in
MRSI studies, the detection of GABA is preferable to GABA+ measurement, however
the accurate removal of MM is complicated and subject of current research. Acknowledgements
No acknowledgement found.References
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