Nikos Priovoulos1, Stan van Boxel1, Heidi IL Jacobs1,2,3, Benedikt A Poser2, and Dimo Ivanov2
1Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States
Synopsis
Magnetization Transfer
(MT) weighted gradient echo techniques can be used favourably instead of typical spin-echo
based approaches for high-resolution imaging of the Locus Coeruleus (LC), which
is of interest in various diseases. Examining the MT properties of the LC is
needed for the development of quantitative biomarkers. Employing a fast,
high-resolution acquisition sequence we show that it is possible to obtain data
to fit a two-pool MT exchange model in the LC. The LC shows differential MT
behavior compared to other catecholaminergic and adjacent GM regions consistent
with reduced macromolecular content.
Introduction
The Locus Coeruleus (LC)
is a neuromelanin (NM) rich nucleus in the brainstem that is suggested to be
involved early in Alzheimer’s disease [1-3]. LC shows decreased magnetization transfer (MT)
saturation compared to adjacent grey matter, similar to the also
catecholaminergic and neuromelanin-rich Substantia Nigra (SN). Understanding
the MT properties of LC can offer insight in the biological properties that
produce MRI contrast [4]. This may eventually allow the development of
quantitative LC markers [5, 6]. Examining the MT properties of the LC is challenging
due to the combination of small size of the structure (which necessitates high-resolution acquisitions)
and intense presaturation used in MT-weighted acquisitions. In this study, we
employed an efficient, high-resolution MT-weighted Turbo Flash (MT-TFL) [5, 7] sequence to estimate a two-pool MT model in the
neuromelanin-rich areas of the brain compared to adjacent grey matter reference
regions.Methods
Four healthy volunteers (two female, median age (range) = 23.5 (21 - 27) y.o.) were
scanned in a 3 T Prisma (Siemens Healthineers, Erlangen, Germany). An
MT-TFL sequence was used, consisting of a multi-shot 3D readout with center-out
k-space sampling, where each shot was preceded by a train of off-resonant Gaussian
sinc pulses, with adjustable amplitudes and offset frequencies [5]. A set of 7 frequency offsets [210, 430, 860, 1280,
1710, 4280, 10000 Hz] and 3 pulse amplitudes [50, 100, 150 V] (Β1 per pulse = 2.25, 4.5, 6.75 μΤ; Continuous wave power equivalent of saturation train = 0.061, 0.0107, 0.153 μΤ) were applied in a
randomized manner (21 scans). Matching TFL images without MT weighting
were acquired to obtain MT-ratio (MTR) images. A multi-echo gradient echo
(ME-GRE) scan and an MP2RAGE were acquired to determine T2* and T1
relaxation times. Acquisition parameters are listed in detail in (Table 1).
Hyperintense voxels in the LC and SN regions were selected manually along with
a similar-sized reference ROI in the pons. The MTR and T1 values
within the ROIs (average of left and right segmentations) were entered into a
two-pool MT model with the Quantitative Magnetization Transfer MRI Optimization
Toolbox [8].Results
The frequency offset
modulation affected the contrast in LC and SN, with maximum contrast between
them versus adjacent brain matter being observed in the range of 860 to
1710 Hz (Figure 2). The z-spectra for all ROIs were approximated well with
a super-Lorentzian. However, MT effects in LC were reduced across the offset
spectrum compared to SN and PONS (Figure 3). From the fitting results,
decreased macromolecular pool (MP) fraction f
and increased T2 of the free water were observed in the LC compared
to SN and PONS. SN instead showed a decreased proton exchange rate K from the
restricted to the free water pool and increased T2 of the restricted
pool (Figure 4).Discussion
Our results show reduced
MT effects for LC as well as MP fraction f decrease and T2f increase
compared to SN and PONS. This suggests that the LC MRI contrast is due to
reduced macromolecular content. LC neurons are thought to be unmyelinated [9, 10], which is consistent with our observations. The SN
also shows reduced magnetization exchange, but it seems to instead relate to a
decreased exchange rate and increased T2r. NM macromolecules tend to
be large (~20 nm) compared to the membrane they attach to [11], which could potentially decrease the proton
exchange.Conclusion
LC is thought to be
highly relevant in aging and neurodegenerative disease, such as Alzheimer’s
disease; several non-quantitative LC MRI metrics have recently been examined in
this regard [12-14]. In this study, we examined the MRI source of
contrast in LC with a qMT approach and compared it to other structures with
similar behavior. Our results suggest that LC MRI contrast is due to reduced
macromolecular content, which provides a possible direction for the development
of quantitative MRI markers for LC.Acknowledgements
No acknowledgement found.References
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