Nicolas Kunz1, Stéphane V Sizonenko2, Rolf Gruetter1,3, Petra S Hüppi2, and Yohan van de Looij1,2
1Laboratoire d'imagerie fonctionnelle et métabolique, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Département développement et croissance, Université de Genève, Geneva, Switzerland, 3Département de radiologie, Geneva and Lausanne, Switzerland
Synopsis
Diffusion tensor imaging (DTI) has been
widely used to study rodent brain development. Nevertheless, the parameters
derived from DTI are sensitive to, but non-specific to, the tissue’s
microstructure. Recently, NODDI (neurite orientation dispersion and
density imaging) has been proposed. We aimed to estimate the real input of
NODDI derived parameters in rodent brain development. ODI appears more
accurate and specific to reflect GM (increase with dendritic arborization) and
WM (decrease with myelination) development than FA and could be a very
important parameter in the assessment of perinatal brain injuries. Conclusion
about the other NODDI estimates requires further experiments.
Purpose
Diffusion tensor imaging (DTI) has been
widely used to study rodent brain development1. Nevertheless, the
parameters derived from DTI (diffusivities: mean: MD, axial: AD and radial: RD
as well as fractional anisotropy: FA) are sensitive to, but non-specific to,
the tissue’s microstructure. For instance, anisotropy
can be modulated by the degree of myelination, axonal density, axon diameter, cell
membrane permeability... Multi-compartments models have then been
proposed including the neurite orientation dispersion and
density imaging (NODDI2). From this model, one can estimate the
intra-neurite volume fraction (fin), the cerebrospinal volume
fraction (fiso) and the orientation dispersion index (ODI) that
models the dispersion/fanning of the axonal fibers or dendrites. In this work,
we aimed to study ex-vivo rat brain
development at different post-natal days (P) by using DTI and NODDI at 9.4T to
estimate the real input of NODDI estimates in rodent brain development. Methods
Pup
rat brains were collected at P4, P7, P21 and P60 (n=8/age). MR experiments
were performed on an actively-shielded 9.4T/31cm magnet (Agilent) equipped with
12-cm gradient coils (400mT/m,120μs)
with birdcage coils of 2.5cm (P4-P7-P21) and 3.5cm (P60) diameter. A multi-b-value shell protocol was acquired using a spin-echo
sequence with the following parameters: FOV: 17×14mm2 (P4), 20×15mm2 (P7),
23×17mm2 (P21) and 25×20mm2 (P60), matrix size:
128×92, 14 slices of 0.6mm thickness in the axial plane, 4 averages with TE/TR=45/3000ms. 96 DWI were acquired, 15 as b0
reference images and 81 separated in 3 shells (non-collinear and uniformly
distributed in each shell) with the following distribution (# of
directions/b-value in s/mm2 with δ/Δ=5.5/30ms): 21/1750, 30/3400 and 30/5100. Acquired
data were fitted using the NODDI toolbox2. NODDI model
traditionally uses three compartments, but for ex-vivo samples a fourth compartment to model stationary water
trapped in the structures following death and fixation was added (isotropic
restricted compartment: irfrac). NODDI
estimates were measured in the cortical grey matter (GM) and white matter (WM).
For statistics, a Mann Whitney test was used (significance: P<0.05, P4 vs. P7; P7 vs. P21 and
P21 vs. P60).Results
At
P4 and P7, separation of cortical layers was clearer on fin and ODI maps than on FA maps (Figure 1). In GM (Figure 2), AD
decreased mainly from P7 to P21 whereas RD showed a bell shape from P4 to P7
(increase), P7 to P21 (decrease) and P21 to P60 (increase). Consequently, MD
followed the same pattern. A significant
decrease of FA was observed from P4 to P7 and from P21 to P60. fin decreased from P4 to P7 then
increased from P21 to P60. ODI increased gradually from P4 to P60 but
significantly only from P7 to P21. fiso
was decreased from P7 to P21 then increased from P21 to P60 in both GM and WM.
In
WM (Figure 3), AD increased whereas ODI decreased both gradually from P4 to
P60. RD and MD increased mainly from P4 to P7. Significant FA increase was
found mainly from P7 to P21 with a gradual tendency before and after but not
significant. Finally, fin decreased
drastically from P4 to P7 and P7 to P21 to reach a plateau.
Significant
changes of irfrac were observed in GM and WM from P7 to P21 and P21 to
P60.Discussion and conclusion
In GM, the
decrease of FA coincides with the phase of neocortical maturation with
transformation of the radial glia into the more complex astrocytic neuropil
(e.g. arborization of basal dendrites of cortical neurons)3,4. As such, ODI
values reflect very well the cortical development. In the WM, setting up of
pre-myelinating oligodendrocytes (P4 to P7) followed by myelination (P7 to P21
mainly) leads to AD and consequently FA increase as well as ODI decrease. ODI
varies more gradually than FA from P4 to P60 reflecting myelination but also
fiber compaction during development. The fiso
values might have been biased by fixation process as they were expected to reflect
the decrease of cerebral water content during development. Similarly, the variations
of fin specifically on WM with
drastic decrease is surprising and does not match with the development of
pre-myelinating and myelinating micro-structure. From
P4 to P60, cerebral microstructure evolves (myelin, size of the structures, cellularity…). Depending on the stage of development, the effect of fixation on the tissue
may be different. These differences could explain irfrac variations among the ages. In conclusion, ODI appears more accurate and
specific to reflect GM (increase with dendritic arborization) and WM (decrease
with myelination) development than FA and could be a very important parameter
in the assessment of perinatal brain injuries. Conclusion about the other NODDI
estimates requires further experiments.Acknowledgements
Supported
by le fond national Suisse n°33CM30-124101/140334, the CIBM of the UNIL,
UNIGE, HUG, CHUV, EPFL, Leenards and Jeantet foundation.References
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[2]
Zhang H et al. NODDI: practical in vivo neurite orientation dispersion and
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16;61(4):1000-16.
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McKinstry RC et al. Radial organization of developing preterm human cerebral
cortex revealed by non-invasive water diffusion anisotropy MRI. Cereb. Cortex.
2002 Dec;12(12):1237-43.
[4]
Sizonenko SV et al. Developmental changes and injury induced disruption of the
radial organization of the cortex in the immature rat brain revealed by in vivo
diffusion tensor MRI. Cereb. Cortex. 2007 Nov;17(11):2609-17.