Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury

Finding objective and quantifiable imaging markers of mild traumatic brain injury (TBI) has proven challenging, especially in the military population. Changes in cortical thickness after injury have been reported in animals and in humans, but it is unclear how these alterations manifest in the chron...

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Publicado:	2017
Materias:	ANTs cortical thickness gray matter mild traumatic brain injury MRI mTBI OEF/OIF/OND Service Members TBI traumatic brain injury volumetrics adult age Article chronic disease comorbidity controlled study cortical thickness (brain) disease association disease severity female human major clinical study male mental health military service neuroimaging prediction retrospective study brain concussion brain cortex diagnostic imaging middle aged nuclear magnetic resonance imaging pathology procedures regression analysis soldier statistics and numerical data theoretical model war young adult Adult Afghan Campaign 2001- Age Factors Brain Concussion Brain Injuries, Traumatic Cerebral Cortex Female Humans Iraq War, 2003-2011 Magnetic Resonance Imaging Male Middle Aged Military Personnel Models, Theoretical Regression Analysis Retrospective Studies Young Adult
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08977151_v34_n22_p3107_Savjani http://hdl.handle.net/20.500.12110/paper_08977151_v34_n22_p3107_Savjani
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_08977151_v34_n22_p3107_Savjani
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spelling	paper:paper_08977151_v34_n22_p3107_Savjani2023-06-08T15:49:21Z Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury ANTs cortical thickness gray matter mild traumatic brain injury MRI mTBI OEF/OIF/OND Service Members TBI traumatic brain injury volumetrics adult age Article chronic disease comorbidity controlled study cortical thickness (brain) disease association disease severity female human major clinical study male mental health military service neuroimaging prediction retrospective study traumatic brain injury age brain concussion brain cortex diagnostic imaging middle aged nuclear magnetic resonance imaging pathology procedures regression analysis soldier statistics and numerical data theoretical model traumatic brain injury war young adult Adult Afghan Campaign 2001- Age Factors Brain Concussion Brain Injuries, Traumatic Cerebral Cortex Female Humans Iraq War, 2003-2011 Magnetic Resonance Imaging Male Middle Aged Military Personnel Models, Theoretical Regression Analysis Retrospective Studies Young Adult Finding objective and quantifiable imaging markers of mild traumatic brain injury (TBI) has proven challenging, especially in the military population. Changes in cortical thickness after injury have been reported in animals and in humans, but it is unclear how these alterations manifest in the chronic phase, and it is difficult to characterize accurately with imaging. We used cortical thickness measures derived from Advanced Normalization Tools (ANTs) to predict a continuous demographic variable: age. We trained four different regression models (linear regression, support vector regression, Gaussian process regression, and random forests) to predict age from healthy control brains from publicly available datasets (n = 762). We then used these models to predict brain age in military Service Members with TBI (n = 92) and military Service Members without TBI (n = 34). Our results show that all four models overpredicted age in Service Members with TBI, and the predicted age difference was significantly greater compared with military controls. These data extend previous civilian findings and show that cortical thickness measures may reveal an association of accelerated changes over time with military TBI. © Copyright 2017, Mary Ann Liebert, Inc. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08977151_v34_n22_p3107_Savjani http://hdl.handle.net/20.500.12110/paper_08977151_v34_n22_p3107_Savjani
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	ANTs cortical thickness gray matter mild traumatic brain injury MRI mTBI OEF/OIF/OND Service Members TBI traumatic brain injury volumetrics adult age Article chronic disease comorbidity controlled study cortical thickness (brain) disease association disease severity female human major clinical study male mental health military service neuroimaging prediction retrospective study traumatic brain injury age brain concussion brain cortex diagnostic imaging middle aged nuclear magnetic resonance imaging pathology procedures regression analysis soldier statistics and numerical data theoretical model traumatic brain injury war young adult Adult Afghan Campaign 2001- Age Factors Brain Concussion Brain Injuries, Traumatic Cerebral Cortex Female Humans Iraq War, 2003-2011 Magnetic Resonance Imaging Male Middle Aged Military Personnel Models, Theoretical Regression Analysis Retrospective Studies Young Adult
spellingShingle	ANTs cortical thickness gray matter mild traumatic brain injury MRI mTBI OEF/OIF/OND Service Members TBI traumatic brain injury volumetrics adult age Article chronic disease comorbidity controlled study cortical thickness (brain) disease association disease severity female human major clinical study male mental health military service neuroimaging prediction retrospective study traumatic brain injury age brain concussion brain cortex diagnostic imaging middle aged nuclear magnetic resonance imaging pathology procedures regression analysis soldier statistics and numerical data theoretical model traumatic brain injury war young adult Adult Afghan Campaign 2001- Age Factors Brain Concussion Brain Injuries, Traumatic Cerebral Cortex Female Humans Iraq War, 2003-2011 Magnetic Resonance Imaging Male Middle Aged Military Personnel Models, Theoretical Regression Analysis Retrospective Studies Young Adult Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury
topic_facet	ANTs cortical thickness gray matter mild traumatic brain injury MRI mTBI OEF/OIF/OND Service Members TBI traumatic brain injury volumetrics adult age Article chronic disease comorbidity controlled study cortical thickness (brain) disease association disease severity female human major clinical study male mental health military service neuroimaging prediction retrospective study traumatic brain injury age brain concussion brain cortex diagnostic imaging middle aged nuclear magnetic resonance imaging pathology procedures regression analysis soldier statistics and numerical data theoretical model traumatic brain injury war young adult Adult Afghan Campaign 2001- Age Factors Brain Concussion Brain Injuries, Traumatic Cerebral Cortex Female Humans Iraq War, 2003-2011 Magnetic Resonance Imaging Male Middle Aged Military Personnel Models, Theoretical Regression Analysis Retrospective Studies Young Adult
description	Finding objective and quantifiable imaging markers of mild traumatic brain injury (TBI) has proven challenging, especially in the military population. Changes in cortical thickness after injury have been reported in animals and in humans, but it is unclear how these alterations manifest in the chronic phase, and it is difficult to characterize accurately with imaging. We used cortical thickness measures derived from Advanced Normalization Tools (ANTs) to predict a continuous demographic variable: age. We trained four different regression models (linear regression, support vector regression, Gaussian process regression, and random forests) to predict age from healthy control brains from publicly available datasets (n = 762). We then used these models to predict brain age in military Service Members with TBI (n = 92) and military Service Members without TBI (n = 34). Our results show that all four models overpredicted age in Service Members with TBI, and the predicted age difference was significantly greater compared with military controls. These data extend previous civilian findings and show that cortical thickness measures may reveal an association of accelerated changes over time with military TBI. © Copyright 2017, Mary Ann Liebert, Inc.
title	Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury
title_short	Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury
title_full	Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury
title_fullStr	Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury
title_full_unstemmed	Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury
title_sort	accelerated changes in cortical thickness measurements with age in military service members with traumatic brain injury
publishDate	2017
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08977151_v34_n22_p3107_Savjani http://hdl.handle.net/20.500.12110/paper_08977151_v34_n22_p3107_Savjani
_version_	1768545744889839616

Accelerated Changes in Cortical Thickness Measurements with Age in Military Service Members with Traumatic Brain Injury

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