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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....

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Autores principales: Irimia, Andrei, Kim, Jun, Wang, Shania, Lee, Hyung Jun, Ngo, Van, Mahoney, Sean, Robles, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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