Tina Pavlin1,2, Vanja Flatberg3, Renate Gruner2,4, Erlend Hodneland5,6, and Stig Wergeland7,8
1Molecular Imaging Center, Department of Biomedicine, University of Bergen, Bergen, Norway, 2Department of Radiology, Haukeland University Hospital, Bergen, Norway, 3Department of Physics, University of Bergen, Bergen, Norway, 4Department of Physics and Technology, University of Bergen, Bergen, Norway, 5Christian Michelsen Research, Bergen, Norway, 6MedViz Research Cluster, Bergen, Norway, 7KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Bergen, Norway, 8The Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, Bergen, Norway
Synopsis
We have applied a biophysical
model of diffusion to study dendrite density and diffusion in cortex and deep
gray matter in an animal model of MS. We have performed DTI on mice brains
ex-vivo at baseline, after 3 and 5 weeks of cuprizone exposure, and 4 weeks
after termination of exposure. We observed a significant drop in neurite density and an increase in intra-axonal diffusion at 3 and 5 weeks of exposure, and a recovery to
baseline values after remyelination. Our study shows the potential of DTI to
detect subtle changes in myelin content in gray matter, thereby improving out
understanding of the disease. Purpose
Conventional MRI techniques have
a very low sensitivity to gray matter demyelination. However, novel
MRI techniques, such as magnetization transfer imaging, show potential to detect myelin content in gray matter
1. In this work we
investigate whether diffusion-weighted MRI that is based on biophysical
models of tissue microstructure
2,3 can detect demyelination in deep gray matter
and cortex in the curpizone mouse model of MS.
Methods
Animals: A
total of 20 female c57Bl/6 mice were divided randomly into 4 groups of 5 mice each. Three of the groups were exposed to cuprizone rich diet by adding 0.2% cuprizone
to
milled mouse chow and then sacrificed after 3 and 5 weeks of cuprizone exposure, and 4 weeks after ending the 5-week cuprizone exposure. The control mice were sacrificed at the end of the experimental
period. Mice were euthanized by CO2 asphyxiation, followed by
intracardial perfusion with 4% formalin in PBS (phosphate-buffered saline). Brains were extracted, stored at 4oC in 4% formalin, and then transferred to PBS 48 hours before scanning to
remove formalin which degrades T2 relaxation time. Finally, brains were placed into a custom-made acrylic holder and transferred
to a 15 ml plastic tube that was filled with Fomblin oil (perfluoropolyether
Y04 grade fluid).
MRI: Scanning was performed on a 7T horizontal-bore magnet using a head (23 mm ID) quadrature volume resonator (both from Bruker Corporation, Germany). Diffusion-weighted EPIs were acquired using a Stejskal-Tanner spin-echo diffusion
preparation. Imaging parameters were: 128x128 data
matrix, resolution 98μmx98μm, slice thickness 0.75 mm, TR/TE=3s/33.49 ms, Navg=6. Total scan time was 3 hours 18 min. Diffusion
parameters were: δ/Δ = 6 ms/20 ms. Sixteen b-factors ranging linearly from 880 to
14080 s/mm2, 10 diffusion directions, and five A0 images were acquired.
Analysis: Images were analysed in MATLAB (R_2013a,
MathWorks) using Jespersen’s et al.2,3 dendrite density model of gray
matter. Their biophysical model of tissue microstructure assumes that the MR
diffusion signal originates from two components: (i) the dendrites and axons (i.e. neurites),
modeled as long cylinders with one diffusion coefficient parallel
(DL)
to the cylindrical axis (DT=0 due to the diffusion resolution limit), and (ii) an isotropic
mono-exponential diffusion component (Dext) describing water diffusion within extracellular space. The
results of the fit were parametric maps of neurite density, DL and Dext. Region-of-interest (ROI) analysis was
performed by selecting ROIs in the right CX and in DGM within a slice which
was the same for all animals. Mean values within the ROIs were recorded and used to compute the population mean and
standard error. Wilcoxon rank sum test was used to compute significant differences between groups.
Results
Figure 1 shows parameteric maps of
relative neurite density for one representative animal within each group. There is a visible reduction in neurite density in DGM and CX after 5 weeks of exposure, and remyelination 4 weeks after terminating
the exposure. Figure 2 shows mean values of neurite density,
Dext and
DL from ROI analysis of CX and DGM for 5 animals in each of the groups and 95%
confidence intervals. We detected significant differences (
p<0.05) in the values
of neurite density and
DL
between
baseline and at 3 and 5 weeks of cuprizone exposure in both DGM and CX.
After 3 weeks of exposure, neurite density decreased by 16% and
DL increased by app 20%. There were no significant differences in
values between 3 and 5 weeks of exposure. Both, the neurite density and
DL returned to the baseline values (0.5 and 0.8-1.0 μm
2/ms,
respectively) after remyelination. Extracellular diffusion in DGM and CX did
not change significantly as a result of cuprizone exposure and had mean values
between 0.27 and 0.35 μm
2/ms for all experimental groups.
Discussion
Our measurements showed that the neurite volume fraction decreased while the longitudinal diffusion coefficient increased with cuprizone exposure. Myelin presents a
barrier to spin motion so when myelin is lost, spins can move more freely in all directions, decreasing
diffusion anisotropy and increasing diffusion coefficient. On the contrary, the extracellular diffusivity did not change significantly with cuprizone exposure. This could be understood in light of the
fact that the extracellular space and cell bodies occupy only approximately 18%
of mouse cortex, so any changes in extracellular diffusion coefficient, which is in addition small due to highly restricted extracellular space, will not be easily detectable.
Conclusion
In this work we have
demonstrated that the degree of demyelination in the cuprizone mouse model of
MS correlates well with the neurite density and intra-axonal diffusion
parameter of the Jespersen's dendrite density model and therefore could serve as markers of demyelination.
Acknowledgements
We would like to thank Sune Nørhøy Jespersen and Brian Hansen (Aarhus University, Denmark) for providing their Matlab script with the neurite density model and for advising us on various aspects of data analysis. References
1. Fjær S, Bø L, Lundervold
A, Myhr K-M, Pavlin T, Torkildsen O, et al. Deep gray matter demyelination
detected by magnetization transfer ratio in the cuprizone model. PLoS ONE.
2013; 8(12):e84162.
2. Jespersen SN, Kroenke CD, Østergaard L, Ackerman JJH,
Yablonskiy DA. Modeling dendrite density from magnetic resonance diffusion
measurements. Neuroimage. 2007; 34(4):1473–86.
3. Jespersen SN, Bjarkam CR,
Nyengaard JR, Chakravarty MM, Hansen B, Vosegaard T, et al. Neurite density
from magnetic resonance diffusion measurements at ultrahigh field: comparison
with light microscopy and electron microscopy. Neuroimage. 2010; 49(1):205–16.