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Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults
Estimating biological brain age (BA) has the potential of identifying individuals at relatively high risk for accelerated neurodegeneration. This study compares the brain’s chronological age (CA) to its BA and reveals the BA rate of change after mild traumatic brain injury (mTBI) in an aging cohort....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741141/ http://dx.doi.org/10.1093/geroni/igaa057.3282 |
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author | Irimia, Andrei Kim, Jun Wang, Shania Lee, Hyung Jun Ngo, Van Mahoney, Sean Robles, David |
author_facet | Irimia, Andrei Kim, Jun Wang, Shania Lee, Hyung Jun Ngo, Van Mahoney, Sean Robles, David |
author_sort | Irimia, Andrei |
collection | PubMed |
description | Estimating biological brain age (BA) has the potential of identifying individuals at relatively high risk for accelerated neurodegeneration. This study compares the brain’s chronological age (CA) to its BA and reveals the BA rate of change after mild traumatic brain injury (mTBI) in an aging cohort. Using T1-weighted magnetic resonance imaging (MRI) volumes and cortical thickness, volume, surface area, and Gaussian curvature obtained using FreeSurfer software; we formulated a multivariate linear regression to determine the rate of BA increase associated with mTBI. 95 TBI patients (age in years (y): μ = 41 y, σ = 17 y; range = 18 to 83) were compared to 462 healthy controls (HCs) (age: μ = 69 y, σ = 18 y; range = 25 to 95) over a 6-month time period following mTBI. Across the initial ~6 months following injury, patients’ BAs increased by ~3.0 ± 1.2 years due to their mTBIs alone, i.e., above and beyond typical brain aging. The superior temporal and parahippocampal gyri, two structures involved in memory formation and retrieval, exhibited the fastest rates of TBI-related BA. In both hemispheres, the volume of the hippocampus decreased (left: μ=0.28%, σ=4.40%; right: μ=0.12%, σ=4.84%). These findings illustrate BA estimation techniques’ potential to identify TBI patients with accelerated neurodegeneration, whose rate is strongly associated with the risk for dementia and other aging-related neurological conditions. |
format | Online Article Text |
id | pubmed-7741141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77411412020-12-21 Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults Irimia, Andrei Kim, Jun Wang, Shania Lee, Hyung Jun Ngo, Van Mahoney, Sean Robles, David Innov Aging Abstracts Estimating biological brain age (BA) has the potential of identifying individuals at relatively high risk for accelerated neurodegeneration. This study compares the brain’s chronological age (CA) to its BA and reveals the BA rate of change after mild traumatic brain injury (mTBI) in an aging cohort. Using T1-weighted magnetic resonance imaging (MRI) volumes and cortical thickness, volume, surface area, and Gaussian curvature obtained using FreeSurfer software; we formulated a multivariate linear regression to determine the rate of BA increase associated with mTBI. 95 TBI patients (age in years (y): μ = 41 y, σ = 17 y; range = 18 to 83) were compared to 462 healthy controls (HCs) (age: μ = 69 y, σ = 18 y; range = 25 to 95) over a 6-month time period following mTBI. Across the initial ~6 months following injury, patients’ BAs increased by ~3.0 ± 1.2 years due to their mTBIs alone, i.e., above and beyond typical brain aging. The superior temporal and parahippocampal gyri, two structures involved in memory formation and retrieval, exhibited the fastest rates of TBI-related BA. In both hemispheres, the volume of the hippocampus decreased (left: μ=0.28%, σ=4.40%; right: μ=0.12%, σ=4.84%). These findings illustrate BA estimation techniques’ potential to identify TBI patients with accelerated neurodegeneration, whose rate is strongly associated with the risk for dementia and other aging-related neurological conditions. Oxford University Press 2020-12-16 /pmc/articles/PMC7741141/ http://dx.doi.org/10.1093/geroni/igaa057.3282 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Irimia, Andrei Kim, Jun Wang, Shania Lee, Hyung Jun Ngo, Van Mahoney, Sean Robles, David Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults |
title | Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults |
title_full | Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults |
title_fullStr | Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults |
title_full_unstemmed | Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults |
title_short | Statistical Estimation of Accelerated Biological Brain Aging After Mild Traumatic Brain Injury in Older Adults |
title_sort | statistical estimation of accelerated biological brain aging after mild traumatic brain injury in older adults |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741141/ http://dx.doi.org/10.1093/geroni/igaa057.3282 |
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