Cargando…

Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging

The g‐ratio, defined as the inner‐to‐outer diameter of a myelinated axon, is associated with the speed of nerve impulse conduction, and represents an index of axonal myelination and integrity. It has been shown to be a sensitive and specific biomarker of neurodevelopment and neurodegeneration. Howev...

Descripción completa

Detalles Bibliográficos
Autores principales: Bouhrara, Mustapha, Kim, Richard W., Khattar, Nikkita, Qian, Wenshu, Bergeron, Christopher M., Melvin, Denise, Zukley, Linda M., Ferrucci, Luigi, Resnick, Susan M., Spencer, Richard G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090765/
https://www.ncbi.nlm.nih.gov/pubmed/33595168
http://dx.doi.org/10.1002/hbm.25372
_version_ 1783687362236121088
author Bouhrara, Mustapha
Kim, Richard W.
Khattar, Nikkita
Qian, Wenshu
Bergeron, Christopher M.
Melvin, Denise
Zukley, Linda M.
Ferrucci, Luigi
Resnick, Susan M.
Spencer, Richard G.
author_facet Bouhrara, Mustapha
Kim, Richard W.
Khattar, Nikkita
Qian, Wenshu
Bergeron, Christopher M.
Melvin, Denise
Zukley, Linda M.
Ferrucci, Luigi
Resnick, Susan M.
Spencer, Richard G.
author_sort Bouhrara, Mustapha
collection PubMed
description The g‐ratio, defined as the inner‐to‐outer diameter of a myelinated axon, is associated with the speed of nerve impulse conduction, and represents an index of axonal myelination and integrity. It has been shown to be a sensitive and specific biomarker of neurodevelopment and neurodegeneration. However, there have been very few magnetic resonance imaging studies of the g‐ratio in the context of normative aging; characterizing regional and time‐dependent cerebral changes in g‐ratio in cognitively normal subjects will be a crucial step in differentiating normal from abnormal microstructural alterations. In the current study, we investigated age‐related differences in aggregate g‐ratio, that is, g‐ratio averaged over all fibers within regions of interest, in several white matter regions in a cohort of 52 cognitively unimpaired participants ranging in age from 21 to 84 years. We found a quadratic, U‐shaped, relationship between aggregate g‐ratio and age in most cerebral regions investigated, suggesting myelin maturation until middle age followed by a decrease at older ages. As expected, we observed that these age‐related differences vary across different brain regions, with the frontal lobes and parietal lobes exhibiting slightly earlier ages of minimum aggregate g‐ratio as compared to more posterior structures such as the occipital lobes and temporal lobes; this agrees with the retrogenesis paradigm. Our results provide evidence for a nonlinear association between age and aggregate g‐ratio in a sample of adults from a highly controlled population. Finally, sex differences in aggregate g‐ratio were observed in several cerebral regions, with women exhibiting overall lower values as compared to men; this likely reflects the greater myelin content in women's brain, in agreement with recent investigations.
format Online
Article
Text
id pubmed-8090765
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-80907652021-05-10 Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging Bouhrara, Mustapha Kim, Richard W. Khattar, Nikkita Qian, Wenshu Bergeron, Christopher M. Melvin, Denise Zukley, Linda M. Ferrucci, Luigi Resnick, Susan M. Spencer, Richard G. Hum Brain Mapp Research Articles The g‐ratio, defined as the inner‐to‐outer diameter of a myelinated axon, is associated with the speed of nerve impulse conduction, and represents an index of axonal myelination and integrity. It has been shown to be a sensitive and specific biomarker of neurodevelopment and neurodegeneration. However, there have been very few magnetic resonance imaging studies of the g‐ratio in the context of normative aging; characterizing regional and time‐dependent cerebral changes in g‐ratio in cognitively normal subjects will be a crucial step in differentiating normal from abnormal microstructural alterations. In the current study, we investigated age‐related differences in aggregate g‐ratio, that is, g‐ratio averaged over all fibers within regions of interest, in several white matter regions in a cohort of 52 cognitively unimpaired participants ranging in age from 21 to 84 years. We found a quadratic, U‐shaped, relationship between aggregate g‐ratio and age in most cerebral regions investigated, suggesting myelin maturation until middle age followed by a decrease at older ages. As expected, we observed that these age‐related differences vary across different brain regions, with the frontal lobes and parietal lobes exhibiting slightly earlier ages of minimum aggregate g‐ratio as compared to more posterior structures such as the occipital lobes and temporal lobes; this agrees with the retrogenesis paradigm. Our results provide evidence for a nonlinear association between age and aggregate g‐ratio in a sample of adults from a highly controlled population. Finally, sex differences in aggregate g‐ratio were observed in several cerebral regions, with women exhibiting overall lower values as compared to men; this likely reflects the greater myelin content in women's brain, in agreement with recent investigations. John Wiley & Sons, Inc. 2021-02-17 /pmc/articles/PMC8090765/ /pubmed/33595168 http://dx.doi.org/10.1002/hbm.25372 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Bouhrara, Mustapha
Kim, Richard W.
Khattar, Nikkita
Qian, Wenshu
Bergeron, Christopher M.
Melvin, Denise
Zukley, Linda M.
Ferrucci, Luigi
Resnick, Susan M.
Spencer, Richard G.
Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
title Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
title_full Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
title_fullStr Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
title_full_unstemmed Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
title_short Age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
title_sort age‐related estimates of aggregate g‐ratio of white matter structures assessed using quantitative magnetic resonance neuroimaging
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090765/
https://www.ncbi.nlm.nih.gov/pubmed/33595168
http://dx.doi.org/10.1002/hbm.25372
work_keys_str_mv AT bouhraramustapha agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT kimrichardw agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT khattarnikkita agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT qianwenshu agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT bergeronchristopherm agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT melvindenise agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT zukleylindam agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT ferrucciluigi agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT resnicksusanm agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging
AT spencerrichardg agerelatedestimatesofaggregategratioofwhitematterstructuresassessedusingquantitativemagneticresonanceneuroimaging