Fig. 2: From axon geometry to along-axon diffusivity.
From: Scattering approach to diffusion quantifies axonal damage in brain injury

a Relative cross-sectional variations α for representative SBEM-segmented myelinated axons (sham and TBI), the synthetic axon, and their power spectral densities Γη(q). The finite plateau Γ0 = Γη(q)∣q→0 > 0 signifies the short-range disorder (finite correlation length) in the cross-sections. b Monte Carlo simulated D(t) ensemble-averaged over Naxon = 50 randomly synthesized, Naxon = 43 randomly sampled SBEM myelinated sham and Naxon = 57 TBI axons, with colors corresponding to (a). c D(t) for all three cases scales asymptotically linearly with \(1/\sqrt{t}\), validating the functional form of Eq. (1). d Coarse-graining over the increasing diffusion length ℓ(t) makes an axon appear increasingly more uniform, suppressing shape fluctuations Γη(q) with q ≳ 1/ℓ(t), such that only the q → 0 plateau Γ0 “survives” for long t and governs the diffusive dynamics (1). To illustrate the effect, an axon segment is Gaussian-filtered with the standard deviation \(\ell ({t}_{i})/\sqrt{2}\) for ℓ(ti) = 0, 5, 10, 20 μm. The coarse-graining of the axon segment along its length is color-coded for increasing diffusion times ti according to the color bar. e The exact tortuosity limit (2) is validated for both synthetic and SBEM individual axons. Axons with larger cross-sectional variations var α have higher tortuosity. The center represents the mean, and horizontal error bars reflect errors in estimating D∞ from Eq. (1) (see Methods). f The predicted amplitude cD of the t-dependent contribution to D(t), Eq. (3), validated against its MC counterpart estimated from Eq. (1), for individual synthetic and TBI axons (colors as in (a)). The coefficient cD is larger for axons with greater cross-sectional variations. The filled circles and error bars reflect means and errors in estimating cD from MC-simulated D(t) (horizontal) and estimating the plateau Γ0 from Γη(q) (vertical), as shown by dashed lines in the power spectral densities of (a) (see Methods). The number of samples is indicated in (b). Source data are provided as a Source Data file.