Rolf Pohmann1, Sathiya Raju1,2, and Klaus Scheffler1,3
1Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Furtwangen University, Schwenningen, Germany, 3Biomedical Magnetic Resonance, University Tübingen, Tübingen, Germany
Synopsis
Functional 31P
spectroscopy has been investigated in several studies with greatly varying
results, which may be due to the low sensitivity of the 31P nucleus. We have
taken advantage of the high SNR at 9.4 T to acquire spectra from the human
visual cortex under stimulation. Experiments were performed with different
localization volumes, defined by saturation pulses. In spite of the excellent quality of the
obtained data, no stimulation-related changes in metabolite concentrations or
resonance frequencies could be detected.
Introduction
The effect of
stimulation on the amplitudes, linewidths or chemical shifts of the MR-visible
31P
metabolites in the human brain has been investigated in several publications
with highly varying results
1-4. A major reason for this discrepancy may be
the low SNR and the correspondingly high uncertainties in the quantification as
well as the large voxel volumes. The increased SNR and spectral dispersion at
ultra-high field can help to acquire improved functional
31P data to
determine potential changes in metabolite concentrations during brain activity.
Methods
Five healthy subjects
were examined at 9.4 T with a home-built 31P coil array, consisting
of four 1H dipole antennae for shimming and localizer images, four
large 31P transmit loops and 27 31P receive coils on a
close fitting helmet5. To obtain localized signals from the visual
cortex, only signals from those two receive coil elements that are positioned
right below the visual cortex were used. A rotating checkerboard was projected
onto the eyes of the subjects with the aid of a mirror placed above the
subject’s eyes.
For spectroscopy, a simple
pulse-acquire sequence was applied to record 512 samples with a bandwidth of
10000 Hz within 51 ms. Three different protocols were used: A first protocol
was optimized for highest possible SNR by acquiring spectra with the shortest
possible TR of 60 ms. In the second protocol, the spatial localization was
improved by positioning three saturation slices around a brain region
containing the visual cortex. Due to the high SAR of the saturation pulses, the
TR had to be increased to 320 ms. In the third protocol, the localization was
further improved by applying five saturation pulses and reducing the
unsaturated volume by 70%, yielding a shortest possible TR of 500 ms. The size
and positions of the ROIs and the saturation slices are visualized in Fig. 1. In
all experiments, the Ernst angle was used for excitation. The stimulus
consisted of around 20 s rest to reach a steady state signal amplitude,
followed by a series of 30 s stimulus / 30 s rest, repeated eight times in the
first two protocols and ten times in the third one.
For analysis, the signals from the two receive
coil elements were phased and added manually in Matlab. Only signals from the
second half of the stimulus and rest periods were taken into account to allow
for 15 s to reach a physiological steady state. All stimulus and rest signals
were added, yielding just one spectrum for stimulus and one for rest per
experiment. These spectra were analyzed with the AMARES algorithm in the jMRUI
software package. Peak amplitudes, linewidths and frequencies of all five
subjects for each protocol were then compared by a paired t-test to detect
stimulation-induced changes.
Results
All experiments
resulted in excellent spectra (Fig. 2), in which 10 metabolite peaks could be
fitted with high quality. No significant differences in peak amplitudes (Fig.
3) or frequency shifts were found. For the protocols with improved
localization, the linewidth of the PCr peak was slightly, but significantly (p
≤ 0.05) higher during stimulus as compared to rest.Discussion
Previous
studies have found contradictory results on the effect of visual stimulation on
the spectroscopic profile of 31P-visible metabolites. Here, we used
the improved SNR and spectral dispersion at 9.4 T to obtain functional data of
the visual cortex. In spite of the high quality of the resulting 31P
spectra, we were not able to see significant differences in the amplitudes or
the frequencies of the observed resonance peaks. One possible reason for the
lack of metabolic changes during stimulation might be the still relatively
large size of the observed volume, which, in spite of the relatively small ROI
in the third protocol, may still be much larger than the really activated region.
Conclusion
In spite of the high
quality of 31P spectra from the visual cortex at 9.4 T, no
variations of metabolite peaks could be observed for visual stimulation.
Further experiments, using still smaller VOIs may be necessary to determine if
changes in metabolite concentrations or pH can be found.Acknowledgements
No acknowledgement found.References
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