bioRxivNeurosciencePreprint
In-vivo estimation of axonal morphology from MRI and EEG data
Rita OliveiraiD, Andria PelentritouiD, Giulia Di DomenicantonioiD, Marzia De Lucia EiD, Antoine LuttiiD
Abstract
PurposeWe present a novel approach that allows the estimation of morphological features of axonal fibers from data acquired in-vivo in humans. This approach allows the assessment of white matter microscopic properties non-invasively with improved specificity. TheoryThe proposed approach is based on a biophysical model of Magnetic Resonance Imaging (MRI) data and of axonal conduction velocity estimates obtained with Electroencephalography (EEG). In a white matter tract of interest, these data depend on 1) the distribution of axonal radius - P(r)- and 2) the g-ratio of the individual axons that compose this tract - g(r). P(r)is assumed to follow a Gamma distribution with mode and scale parameters, M and{theta} , and g(r) is described by a power-law with parameters and {beta}. MethodsMRI and EEG data were recorded from 14 healthy volunteers. MRI data were collected with a 3T scanner. MRI g-ratio maps were computed and sampled along the visual transcallosal tract. EEG data were recorded using a 128-lead system with a visual Poffenberg paradigm. The interhemispheric transfer time and axonal conduction velocity were computed from the EEG current density at the group level. Using the MRI and EEG measures and the proposed model, we estimated morphological properties of axons in the visual transcallosal tract. ResultsThe estimated interhemispheric transfer time was 11.72{+/-}2.87 ms, leading to an average conduction velocity across subjects of 13.22{+/-}1.18 m/s. Out of the 4 free parameters of the proposed model, we estimated{theta} - the width of the right tail of the axonal radius distribution and {beta} - the scaling factor of the axonal g-ratio, a measure of fiber myelination. Across subjects, the parameter{theta} was 0.40{+/-}0.07 {micro}m and the parameter {beta} was 0.67{+/-}0.02 {micro}m-. ConclusionsThe estimates of axonal radius and myelination are consistent with histological findings, illustrating the feasibility of this approach. The proposed method allows the measurement of the distribution of axonal radius and myelination within a white matter tract, opening new avenues for the combined study of brain structure and function, and for in-vivo histological studies of the human brain.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology
Rita Oliveira, Marzia De Lucia E, Antoine Lutti·bioRxiv·Dec 19, 2022
- Mapping axon conduction delays in vivo from microstructural MRI
Mark Drakesmith, Robbert Harms, … Derek Kenton Jones·NeuroImagePeer-reviewed·Sep 19, 2019
- Non-invasive prediction of conduction velocities in the human brain from MRI-derived microstructure features at 7 Tesla
Saina Asadi, Arthur P C Spencer, … Ileana Jelescu·bioRxiv·Oct 28, 2025
- Modelling conduction delays in the corpus callosum using MRI-measured g-ratio
Shai Berman, Shir Filo, Aviv Mezer·bioRxiv·Jan 27, 2019
- Mapping axon diameters and conduction velocity in the rat brain - different methods tell different stories of the structure-function relationship
Christian Stald Skoven, Mariam Andersson, … Tim B. Dyrby·Imaging NeurosciencePeer-reviewed·Jan 1, 2025
- White matter conduction in the human brain is mostly slow, with rare high velocity connections
Samuel Romero-Santiago, Maria Guadalupe Yanez-Ramos, … Dora Hermes·bioRxiv·Jul 31, 2026