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Lifespan maturation and degeneration of human brain white matter

Properties of human brain tissue change across the lifespan. Here we model these changes in the living human brain by combining quantitative MRI measurements of R1 (1/T1) with diffusion MRI and tractography (N=102, ages 7–85). The amount of R1 change during development differs between white matter f...

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Autores principales: Yeatman, Jason D., Wandell, Brian A., Mezer, Aviv A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238904/
https://www.ncbi.nlm.nih.gov/pubmed/25230200
http://dx.doi.org/10.1038/ncomms5932
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author Yeatman, Jason D.
Wandell, Brian A.
Mezer, Aviv A.
author_facet Yeatman, Jason D.
Wandell, Brian A.
Mezer, Aviv A.
author_sort Yeatman, Jason D.
collection PubMed
description Properties of human brain tissue change across the lifespan. Here we model these changes in the living human brain by combining quantitative MRI measurements of R1 (1/T1) with diffusion MRI and tractography (N=102, ages 7–85). The amount of R1 change during development differs between white matter fascicles, but in each fascicle the rate of development and decline are mirror symmetric; the rate of R1 development as the brain approaches maturity predicts the rate of R1 degeneration in aging. Quantitative measurements of macromolecule tissue volume (MTV) confirm that R1 is an accurate index of the growth of new brain tissue. In contrast to R1, diffusion development follows an asymmetric time-course with rapid childhood changes but a slow rate of decline in old age. Together, the time-courses of R1 and diffusion changes demonstrate that multiple biological processes drive changes in white matter tissue properties over the lifespan.
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spelling pubmed-42389042015-03-17 Lifespan maturation and degeneration of human brain white matter Yeatman, Jason D. Wandell, Brian A. Mezer, Aviv A. Nat Commun Article Properties of human brain tissue change across the lifespan. Here we model these changes in the living human brain by combining quantitative MRI measurements of R1 (1/T1) with diffusion MRI and tractography (N=102, ages 7–85). The amount of R1 change during development differs between white matter fascicles, but in each fascicle the rate of development and decline are mirror symmetric; the rate of R1 development as the brain approaches maturity predicts the rate of R1 degeneration in aging. Quantitative measurements of macromolecule tissue volume (MTV) confirm that R1 is an accurate index of the growth of new brain tissue. In contrast to R1, diffusion development follows an asymmetric time-course with rapid childhood changes but a slow rate of decline in old age. Together, the time-courses of R1 and diffusion changes demonstrate that multiple biological processes drive changes in white matter tissue properties over the lifespan. 2014-09-17 /pmc/articles/PMC4238904/ /pubmed/25230200 http://dx.doi.org/10.1038/ncomms5932 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Yeatman, Jason D.
Wandell, Brian A.
Mezer, Aviv A.
Lifespan maturation and degeneration of human brain white matter
title Lifespan maturation and degeneration of human brain white matter
title_full Lifespan maturation and degeneration of human brain white matter
title_fullStr Lifespan maturation and degeneration of human brain white matter
title_full_unstemmed Lifespan maturation and degeneration of human brain white matter
title_short Lifespan maturation and degeneration of human brain white matter
title_sort lifespan maturation and degeneration of human brain white matter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238904/
https://www.ncbi.nlm.nih.gov/pubmed/25230200
http://dx.doi.org/10.1038/ncomms5932
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