In vivo Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data.

ABSTRACT:

Purpose

We 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.

Theory

The 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 θ, and g

SUBMITTER: Oliveira R 

PROVIDER: S-EPMC9070985 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature