This work presents a new approach to mapping the fraction and spatial distribution of large axons (d>3μm) across white matter (WM) in the living human brain. By collecting high b-value (b=8000 s/mm2) diffusion MRI data at two diffusion times on a Connectome scanner, we were able to generate a new contrast specific to the characteristic signal decay of large axons at different diffusion times. Using this approach, we were able to identify and discriminate consistently some of the major WM pathways expected to carry the largest axons within the human brain. WM characterisation using TDR can offer important and practical clinical applications.
Recent studies have shown that a power-law scaling of the diffusion MR signal emerges at b-values higher than 7000 s/mm2 in white matter regions1-2. This finding directly implies that the diffusion signal at very high b-values can be assumed to originate entirely from intra-axonal contributions fully described by the "stick" model (i.e., diffusion within an infinitely narrow cylinder) and, at the same time, any extra-axonal signal contribution can be considered completely suppressed.
However, deviation from the stick model has been observed for axons with diameters larger than ~2 μm when using high performance diffusion gradient systems3,4. These results suggest that the diffusion signal can become sensitive to large axonal diameters representing the right tail of the axonal diameter distribution. Histological studies of the human brain show that the vast majority of axons are below 1um in diameter5,6. Nevertheless, numerical simulations based on realistic axonal diameter distributions have also shown that even a relatively small fraction of large axons (e.g. less than 1% of axons > 3μm) can still contribute substantially to the total intra-axonal space (e.g. 20-30% or more)7 and the overall diffusion signal4.
In this work we have focused our attention on quantifying the fraction of the diffusion signal originating from large axons. More precisely, we tried to quantify the signal contribution coming only from the right tail of the axonal diameter distribution where the stick model assumption is no longer valid. Using HARDI acquisitions collected at the same high b-value but at two different diffusion times, we calculate a novel Temporal Diffusion Ratio (TDR) in a similar fashion to the commonly used Magnetisation Transfer ratio (MTR)8. Here, we report results from in vivo data acquired in healthy subjects using the Connectom scanner at CUBRIC, Cardiff University, UK.
As in MTR imaging, the TDR index can be expressed as:
TDR = (ALong-Dt - AShort-Dt) / ALong-Dt
where ALong-Dt and AShort-Dt are respectively the long- and short-diffusion time HARDI signals normalised to their corresponding non-diffusion weighted signal and spherical-averaged to remove directional dependence. Diffusion MRI brain data from 4 healthy volunteers were acquired on a Siemens 3T Connectom scanner using an HARDI protocol with TE=80ms, TR=3900ms, MB=2, isotropic voxel size of 2.5mm, 60 diffusion directions and 4 interleaved b0s. Acquisition parameters were chosen to maintain a constant b-value of 8000 s/mm2 with G=162.9mT/m, δ=9ms, Δ=55ms for the Long-Diffusion time, and G=276.89mT/m, δ=9ms, Δ=21ms for the Short-Diffusion time experiment. To maximise SNR and account for susceptibility distortions, each scan was repeated 4 times with alternating EPI-PE directions.Processing: The acquired data were de-noised9 and corrected for Gibbs ringing10, motion, susceptibility, eddy-current distortions11, b0-drifts12 and rigidly aligned between the two diffusion times. To minimise noise amplification and any remaining registration error, before computing the final TDR maps, each ALong-Dt and AShort-Dt volume was smoothed with a 2mm kernel.
Figure 1 shows the simulated signal decays for the two diffusion times and for increasing axonal radii. Both diffusion models show that signal profiles for axon diameters > 2.5/3μm clearly diverge for the two diffusion times producing a contrast for large axons.
Figure 2 and 3 shows TDR maps in a single healthy human brain and in an average of 4 brains. As expected, the cortico-spinal tract (CST) which carries the pyramidal tracts15 shows the highest fraction of large axons. The full anatomical profile of the CST, including the lateral fanning to the ventral "mouth" region can be visualised without using any directional information from the diffusion signal. Similarly, the posterior mid-body of the corpus callosum (CC) shows a relatively higher fraction of large axons that consistently propagate from the mid-sagittal plane to the corresponding motor cortex, bi-laterally. To a lesser degree, portions of the splenium reaching visual cortex also show increased TDR contrast. Results were reproducible across all subjects. A semi-automatic 3D segmentation of the whole CST based on TDR thresholding is shown is figure 3, on the right.
FDA, RD, MC are supported by the Sackler Institute for Translational Neurodevelopment, King's College London. MC, AB, DKJ are supported by the Wellcome Trust. The data were acquired at the UK National Facility for In Vivo MR Imaging of Human Tissue Microstructure funded by the EPSRC (grant EP/M029778/1).
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Figure 2 shows the TDR map on a single representative subject. In these maps the main anatomy of the CST, the posterior mid-body and splenium is visible and the corresponding pathways can be identified and followed at the single-subject level. In line with the previous literature5,6,15 these tracts exhibit the largest fraction of axons with a diameter greater than 3μm.