Cargando…

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

Multiple sclerosis (MS) is a brain network disconnection syndrome. Although the brain network topology in MS has been evaluated using diffusion MRI tractography, the mechanism underlying disconnection in the disorder remains unclear. In this study, we evaluated the brain network topology in MS using...

Descripción completa

Detalles Bibliográficos
Autores principales: Kamagata, Koji, Zalesky, Andrew, Yokoyama, Kazumasa, Andica, Christina, Hagiwara, Akifumi, Shimoji, Keigo, Kumamaru, Kanako K., Takemura, Mariko Y., Hoshino, Yasunobu, Kamiya, Kouhei, Hori, Masaaki, Pantelis, Christos, Hattori, Nobutaka, Aoki, Shigeki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751178/
https://www.ncbi.nlm.nih.gov/pubmed/31534143
http://dx.doi.org/10.1038/s41598-019-50025-2
_version_ 1783452566560964608
author Kamagata, Koji
Zalesky, Andrew
Yokoyama, Kazumasa
Andica, Christina
Hagiwara, Akifumi
Shimoji, Keigo
Kumamaru, Kanako K.
Takemura, Mariko Y.
Hoshino, Yasunobu
Kamiya, Kouhei
Hori, Masaaki
Pantelis, Christos
Hattori, Nobutaka
Aoki, Shigeki
author_facet Kamagata, Koji
Zalesky, Andrew
Yokoyama, Kazumasa
Andica, Christina
Hagiwara, Akifumi
Shimoji, Keigo
Kumamaru, Kanako K.
Takemura, Mariko Y.
Hoshino, Yasunobu
Kamiya, Kouhei
Hori, Masaaki
Pantelis, Christos
Hattori, Nobutaka
Aoki, Shigeki
author_sort Kamagata, Koji
collection PubMed
description Multiple sclerosis (MS) is a brain network disconnection syndrome. Although the brain network topology in MS has been evaluated using diffusion MRI tractography, the mechanism underlying disconnection in the disorder remains unclear. In this study, we evaluated the brain network topology in MS using connectomes with connectivity strengths based on the ratio of the inner to outer myelinated axon diameter (i.e., g-ratio), thereby providing enhanced sensitivity to demyelination compared with the conventional measures of connectivity. We mapped g-ratio-based connectomes in 14 patients with MS and compared them with those of 14 age- and sex-matched healthy controls. For comparison, probabilistic tractography was also used to map connectomes based on the number of streamlines (NOS). We found that g-ratio- and NOS-based connectomes comprised significant connectivity reductions in patients with MS, predominantly in the motor, somatosensory, visual, and limbic regions. However, only the g-ratio-based connectome enabled detection of significant increases in nodal strength in patients with MS. Finally, we found that the g-ratio-weighted nodal strength in motor, visual, and limbic regions significantly correlated with inter-individual variation in measures of disease severity. The g-ratio-based connectome can serve as a sensitive biomarker for diagnosing and monitoring disease progression.
format Online
Article
Text
id pubmed-6751178
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-67511782019-09-30 MR g-ratio-weighted connectome analysis in patients with multiple sclerosis Kamagata, Koji Zalesky, Andrew Yokoyama, Kazumasa Andica, Christina Hagiwara, Akifumi Shimoji, Keigo Kumamaru, Kanako K. Takemura, Mariko Y. Hoshino, Yasunobu Kamiya, Kouhei Hori, Masaaki Pantelis, Christos Hattori, Nobutaka Aoki, Shigeki Sci Rep Article Multiple sclerosis (MS) is a brain network disconnection syndrome. Although the brain network topology in MS has been evaluated using diffusion MRI tractography, the mechanism underlying disconnection in the disorder remains unclear. In this study, we evaluated the brain network topology in MS using connectomes with connectivity strengths based on the ratio of the inner to outer myelinated axon diameter (i.e., g-ratio), thereby providing enhanced sensitivity to demyelination compared with the conventional measures of connectivity. We mapped g-ratio-based connectomes in 14 patients with MS and compared them with those of 14 age- and sex-matched healthy controls. For comparison, probabilistic tractography was also used to map connectomes based on the number of streamlines (NOS). We found that g-ratio- and NOS-based connectomes comprised significant connectivity reductions in patients with MS, predominantly in the motor, somatosensory, visual, and limbic regions. However, only the g-ratio-based connectome enabled detection of significant increases in nodal strength in patients with MS. Finally, we found that the g-ratio-weighted nodal strength in motor, visual, and limbic regions significantly correlated with inter-individual variation in measures of disease severity. The g-ratio-based connectome can serve as a sensitive biomarker for diagnosing and monitoring disease progression. Nature Publishing Group UK 2019-09-18 /pmc/articles/PMC6751178/ /pubmed/31534143 http://dx.doi.org/10.1038/s41598-019-50025-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kamagata, Koji
Zalesky, Andrew
Yokoyama, Kazumasa
Andica, Christina
Hagiwara, Akifumi
Shimoji, Keigo
Kumamaru, Kanako K.
Takemura, Mariko Y.
Hoshino, Yasunobu
Kamiya, Kouhei
Hori, Masaaki
Pantelis, Christos
Hattori, Nobutaka
Aoki, Shigeki
MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
title MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
title_full MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
title_fullStr MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
title_full_unstemmed MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
title_short MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
title_sort mr g-ratio-weighted connectome analysis in patients with multiple sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751178/
https://www.ncbi.nlm.nih.gov/pubmed/31534143
http://dx.doi.org/10.1038/s41598-019-50025-2
work_keys_str_mv AT kamagatakoji mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT zaleskyandrew mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT yokoyamakazumasa mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT andicachristina mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT hagiwaraakifumi mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT shimojikeigo mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT kumamarukanakok mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT takemuramarikoy mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT hoshinoyasunobu mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT kamiyakouhei mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT horimasaaki mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT pantelischristos mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT hattorinobutaka mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis
AT aokishigeki mrgratioweightedconnectomeanalysisinpatientswithmultiplesclerosis