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Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration
Traumatic brain injuries (TBIs) are frequently followed by persistent brain alterations and by cognitive sequalae, especially in older adults. Although mild TBI (mTBI) is a risk factor for Alzheimer’s disease (AD), the extent to which the two conditions are related remains largely unexplored. Using...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679749/ http://dx.doi.org/10.1093/geroni/igab046.1439 |
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author | Irimia, Andrei Maher, Alexander Rostowsky, Kenneth Chaudhari, Nikhil Chowdhury, Nahian Jacobs, Elliot Robles, David Dharani, Ammar |
author_facet | Irimia, Andrei Maher, Alexander Rostowsky, Kenneth Chaudhari, Nikhil Chowdhury, Nahian Jacobs, Elliot Robles, David Dharani, Ammar |
author_sort | Irimia, Andrei |
collection | PubMed |
description | Traumatic brain injuries (TBIs) are frequently followed by persistent brain alterations and by cognitive sequalae, especially in older adults. Although mild TBI (mTBI) is a risk factor for Alzheimer’s disease (AD), the extent to which the two conditions are related remains largely unexplored. Using structural, functional and diffusion magnetic resonance imaging (MRI), we have identified AD-like post-traumatic neurodegeneration patterns that accurately prognosticate cognitive decline after geriatric mTBI. Our results indicate that these features involve cortical regions and circuitry mediating memory and executive function, and that AD neurodegeneration has key structural and functional similarities to post-traumatic neurodegradation. Using machine learning of such similarities, we have accurately forecast the severity of chronic cognitive deficits after geriatric mTBI based on acute neuroimaging measures. Our findings demonstrate that AD-like alterations in brain structure and function observed early after injury can predict post-traumatic mild cognitive impairment, which is itself strongly associated with AD risk. |
format | Online Article Text |
id | pubmed-8679749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86797492021-12-17 Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration Irimia, Andrei Maher, Alexander Rostowsky, Kenneth Chaudhari, Nikhil Chowdhury, Nahian Jacobs, Elliot Robles, David Dharani, Ammar Innov Aging Abstracts Traumatic brain injuries (TBIs) are frequently followed by persistent brain alterations and by cognitive sequalae, especially in older adults. Although mild TBI (mTBI) is a risk factor for Alzheimer’s disease (AD), the extent to which the two conditions are related remains largely unexplored. Using structural, functional and diffusion magnetic resonance imaging (MRI), we have identified AD-like post-traumatic neurodegeneration patterns that accurately prognosticate cognitive decline after geriatric mTBI. Our results indicate that these features involve cortical regions and circuitry mediating memory and executive function, and that AD neurodegeneration has key structural and functional similarities to post-traumatic neurodegradation. Using machine learning of such similarities, we have accurately forecast the severity of chronic cognitive deficits after geriatric mTBI based on acute neuroimaging measures. Our findings demonstrate that AD-like alterations in brain structure and function observed early after injury can predict post-traumatic mild cognitive impairment, which is itself strongly associated with AD risk. Oxford University Press 2021-12-17 /pmc/articles/PMC8679749/ http://dx.doi.org/10.1093/geroni/igab046.1439 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://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/ (https://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 Maher, Alexander Rostowsky, Kenneth Chaudhari, Nikhil Chowdhury, Nahian Jacobs, Elliot Robles, David Dharani, Ammar Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration |
title | Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration |
title_full | Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration |
title_fullStr | Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration |
title_full_unstemmed | Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration |
title_short | Early Prediction of Cognitive Deficits After Traumatic Brain Injury Based on AD-Like Patterns of Neurodegeneration |
title_sort | early prediction of cognitive deficits after traumatic brain injury based on ad-like patterns of neurodegeneration |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679749/ http://dx.doi.org/10.1093/geroni/igab046.1439 |
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