biostudies-literatureOliveira RSwiss National Science FoundationFondation Roger de Spoelberch874023https://www.ebi.ac.uk/biostudies/studies/S-EPMC9070985biostudies-literatureUnknown16<h4>Purpose</h4>We present a novel approach that allows the estimation of morphological features of axonal fibers from data acquired <i>in vivo</i> in humans. This approach allows the assessment of white matter microscopic properties non-invasively with improved specificity.<h4>Theory</h4>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 [<i>P</i>(<i>r</i>)] and (2) the g-ratio of the individual axons that compose this tract [<i>g</i>(<i>r</i>)]. <i>P</i>(<i>r</i>) is assumed to follow a Gamma distribution with mode and scale parameters, <i>M</i> and θ, and <i>g</iFrontiers in neuroscience<i>In vivo</i> Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data.PMC9070985320030_184784320030196194CRSK-3_196194184784Di Domenicantonio GOliveira RPelentritou ALutti ADe Lucia Mfalse<i>In vivo</i> Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data.<h4>Purpose</h4>We present a novel approach that allows the estimation of morphological features of axonal fibers from data acquired <i>in vivo</i> in humans. This approach allows the assessment of white matter microscopic properties non-invasively with improved specificity.<h4>Theory</h4>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 [<i>P</i>(<i>r</i>)] and (2) the g-ratio of the individual axons that compose this tract [<i>g</i>(<i>r</i>)]. <i>P</i>(<i>r</i>) is assumed to follow a Gamma distribution with mode and scale parameters, <i>M</i> and θ, and <i>g</i2022-01-01T00:00:00Z20222026-04-08T09:52:02.06Z2025-04-04T10:02:01.417ZS-EPMC90709853552781610.3389/fnins.2022.874023