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Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps

Age-specific resources in human MRI mitigate processing biases that arise from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human agi...

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Autores principales: MacNicol, Eilidh, Wright, Paul, Kim, Eugene, Brusini, Irene, Esteban, Oscar, Simmons, Camilla, Turkheimer, Federico E., Cash, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777032/
https://www.ncbi.nlm.nih.gov/pubmed/35069163
http://dx.doi.org/10.3389/fninf.2021.669049
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author MacNicol, Eilidh
Wright, Paul
Kim, Eugene
Brusini, Irene
Esteban, Oscar
Simmons, Camilla
Turkheimer, Federico E.
Cash, Diana
author_facet MacNicol, Eilidh
Wright, Paul
Kim, Eugene
Brusini, Irene
Esteban, Oscar
Simmons, Camilla
Turkheimer, Federico E.
Cash, Diana
author_sort MacNicol, Eilidh
collection PubMed
description Age-specific resources in human MRI mitigate processing biases that arise from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human aging, it was hypothesized that brain volume and each tissue's relative contribution to total brain volume would change with age in the adult rat. Data from a longitudinal study of rats at 3, 5, 11, and 17 months old were used to test this hypothesis. Tissue volume was estimated from high resolution structural images using a priori information from tissue probability maps. However, existing tissue probability maps generated inaccurate gray matter probabilities in subcortical structures, particularly the thalamus. To address this issue, gray matter, white matter, and CSF tissue probability maps were generated by combining anatomical and signal intensity information. The effects of age on volumetric estimations were then assessed with mixed-effects models. Results showed that herein estimation of gray matter volumes better matched histological evidence, as compared to existing resources. All tissue volumes increased with age, and the tissue proportions relative to total brain volume varied across adulthood. Consequently, a set of rat brain templates and tissue probability maps from across the adult lifespan is released to expand the preclinical MRI community's fundamental resources.
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spelling pubmed-87770322022-01-22 Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps MacNicol, Eilidh Wright, Paul Kim, Eugene Brusini, Irene Esteban, Oscar Simmons, Camilla Turkheimer, Federico E. Cash, Diana Front Neuroinform Neuroscience Age-specific resources in human MRI mitigate processing biases that arise from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human aging, it was hypothesized that brain volume and each tissue's relative contribution to total brain volume would change with age in the adult rat. Data from a longitudinal study of rats at 3, 5, 11, and 17 months old were used to test this hypothesis. Tissue volume was estimated from high resolution structural images using a priori information from tissue probability maps. However, existing tissue probability maps generated inaccurate gray matter probabilities in subcortical structures, particularly the thalamus. To address this issue, gray matter, white matter, and CSF tissue probability maps were generated by combining anatomical and signal intensity information. The effects of age on volumetric estimations were then assessed with mixed-effects models. Results showed that herein estimation of gray matter volumes better matched histological evidence, as compared to existing resources. All tissue volumes increased with age, and the tissue proportions relative to total brain volume varied across adulthood. Consequently, a set of rat brain templates and tissue probability maps from across the adult lifespan is released to expand the preclinical MRI community's fundamental resources. Frontiers Media S.A. 2022-01-07 /pmc/articles/PMC8777032/ /pubmed/35069163 http://dx.doi.org/10.3389/fninf.2021.669049 Text en Copyright © 2022 MacNicol, Wright, Kim, Brusini, Esteban, Simmons, Turkheimer and Cash. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
MacNicol, Eilidh
Wright, Paul
Kim, Eugene
Brusini, Irene
Esteban, Oscar
Simmons, Camilla
Turkheimer, Federico E.
Cash, Diana
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps
title Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps
title_full Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps
title_fullStr Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps
title_full_unstemmed Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps
title_short Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps
title_sort age-specific adult rat brain mri templates and tissue probability maps
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777032/
https://www.ncbi.nlm.nih.gov/pubmed/35069163
http://dx.doi.org/10.3389/fninf.2021.669049
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