Literature DB >> 28917698

Introducing axonal myelination in connectomics: A preliminary analysis of g-ratio distribution in healthy subjects.

Matteo Mancini1, Giovanni Giulietti2, Nicholas Dowell3, Barbara Spanò2, Neil Harrison3, Marco Bozzali4, Mara Cercignani4.   

Abstract

Microstructural imaging and connectomics are two research areas that hold great potential for investigating brain structure and function. Combining these two approaches can lead to a better and more complete characterization of the brain as a network. The aim of this work is characterizing the connectome from a novel perspective using the myelination measure given by the g-ratio. The g-ratio is the ratio of the inner to the outer diameters of a myelinated axon, whose aggregated value can now be estimated in vivo using MRI. In two different datasets of healthy subjects, we reconstructed the structural connectome and then used the g-ratio estimated from diffusion and magnetization transfer data to characterize the network structure. Significant characteristics of g-ratio weighted graphs emerged. First, the g-ratio distribution across the edges of the graph did not show the power-law distribution observed using the number of streamlines as a weight. Second, connections involving regions related to motor and sensory functions were the highest in myelin content. We also observed significant differences in terms of the hub structure and the rich-club organization suggesting that connections involving hub regions present higher myelination than peripheral connections. Taken together, these findings offer a characterization of g-ratio distribution across the connectome in healthy subjects and lay the foundations for further investigating plasticity and pathology using a similar approach.
Copyright © 2017 Elsevier Inc. All rights reserved.

Keywords:  Connectome; Diffusion weighted imaging; Graph theory; Microstructure; Myelin; Structural connectivity; g-ratio

Mesh:

Year:  2017        PMID: 28917698     DOI: 10.1016/j.neuroimage.2017.09.018

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  12 in total

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Journal:  Brain Struct Funct       Date:  2021-03-11       Impact factor: 3.270

2.  Evolution of white matter tract microstructure across the life span.

Authors:  David A Slater; Lester Melie-Garcia; Martin Preisig; Ferath Kherif; Antoine Lutti; Bogdan Draganski
Journal:  Hum Brain Mapp       Date:  2019-01-23       Impact factor: 5.038

3.  Experimental studies of g-ratio MRI in ex vivo mouse brain.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Daniel C Alexander; Daniel F Gochberg; Mark D Does
Journal:  Neuroimage       Date:  2017-12-05       Impact factor: 6.556

4.  Brain white matter morphological structure correlation with its optical properties estimated from optical coherence tomography (OCT) data.

Authors:  Alexander A Moiseev; Ksenia A Achkasova; Elena B Kiseleva; Konstantin S Yashin; Arseniy L Potapov; Evgenia L Bederina; Sergey S Kuznetsov; Evgeny P Sherstnev; Dmitry V Shabanov; Grigory V Gelikonov; Yuliya V Ostrovskaya; Natalia D Gladkova
Journal:  Biomed Opt Express       Date:  2022-03-23       Impact factor: 3.562

5.  Constructing an Axonal-Specific Myelin Developmental Graph and its Application to Childhood Absence Epilepsy.

Authors:  Gerhard S Drenthen; Eric L A Fonseca Wald; Walter H Backes; Albert P Aldenkamp; R Jeroen Vermeulen; Mariette H J A Debeij-van Hall; Sylvia Klinkenberg; Jacobus F A Jansen
Journal:  J Neuroimaging       Date:  2020-04-07       Impact factor: 2.486

6.  MR g-ratio-weighted connectome analysis in patients with multiple sclerosis.

Authors:  Koji Kamagata; Andrew Zalesky; Kazumasa Yokoyama; Christina Andica; Akifumi Hagiwara; Keigo Shimoji; Kanako K Kumamaru; Mariko Y Takemura; Yasunobu Hoshino; Kouhei Kamiya; Masaaki Hori; Christos Pantelis; Nobutaka Hattori; Shigeki Aoki
Journal:  Sci Rep       Date:  2019-09-18       Impact factor: 4.379

7.  The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging.

Authors:  Tim M Emmenegger; Gergely David; Mohammad Ashtarayeh; Francisco J Fritz; Isabel Ellerbrock; Gunther Helms; Evelyne Balteau; Patrick Freund; Siawoosh Mohammadi
Journal:  Front Neurosci       Date:  2021-07-05       Impact factor: 4.677

8.  Predicting MEG resting-state functional connectivity from microstructural information.

Authors:  Eirini Messaritaki; Sonya Foley; Simona Schiavi; Lorenzo Magazzini; Bethany Routley; Derek K Jones; Krish D Singh
Journal:  Netw Neurosci       Date:  2021-06-03

9.  The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure.

Authors:  Tommy Boshkovski; Ljupco Kocarev; Julien Cohen-Adad; Bratislav Mišić; Stéphane Lehéricy; Nikola Stikov; Matteo Mancini
Journal:  Netw Neurosci       Date:  2021-04-27

10.  Towards in vivo g-ratio mapping using MRI: Unifying myelin and diffusion imaging.

Authors:  Siawoosh Mohammadi; Martina F Callaghan
Journal:  J Neurosci Methods       Date:  2020-10-28       Impact factor: 2.390

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