Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784636970173988864 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8777032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT macnicoleilidh agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT wrightpaul agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT kimeugene agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT brusiniirene agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT estebanoscar agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT simmonscamilla agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT turkheimerfedericoe agespecificadultratbrainmritemplatesandtissueprobabilitymaps AT cashdiana agespecificadultratbrainmritemplatesandtissueprobabilitymaps |