Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study

Background: Pediatric mild traumatic brain injury (mTBI) affects millions of children annually. Diffusion tensor imaging (DTI) is sensitive to axonal injuries and white matter microstructure and has been used to characterize the brain changes associated with mild traumatic brain injury (mTBI). Neuri...

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Autores principales: Ayushi Shukla, Ashley L. Ware, Sunny Guo, Bradley Goodyear, Miriam H. Beauchamp, Roger Zemek, William Craig, Quynh Doan, Christian Beaulieu, Keith O. Yeates, Catherine Lebel
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:ce5710748b7743688fff2df9d18a02942021-11-26T04:28:50ZExamining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study2213-158210.1016/j.nicl.2021.102887https://doaj.org/article/ce5710748b7743688fff2df9d18a02942021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2213158221003314https://doaj.org/toc/2213-1582Background: Pediatric mild traumatic brain injury (mTBI) affects millions of children annually. Diffusion tensor imaging (DTI) is sensitive to axonal injuries and white matter microstructure and has been used to characterize the brain changes associated with mild traumatic brain injury (mTBI). Neurite orientation dispersion and density imaging (NODDI) is a diffusion model that can provide additional insight beyond traditional DTI metrics, but has not been examined in pediatric mTBI. The goal of this study was to employ DTI and NODDI to gain added insight into white matter alterations in children with mTBI compared to children with mild orthopedic injury (OI). Methods: Children (mTBI n = 320, OI n = 176) aged 8–16.99 years (12.39 ± 2.32 years) were recruited from emergency departments at five hospitals across Canada and underwent 3 T MRI on average 11 days post-injury. DTI and NODDI metrics were calculated for seven major white matter tracts and compared between groups using univariate analysis of covariance controlling for age, sex, and scanner type. False discovery rate (FDR) was used to correct for multiple comparisons. Results: Univariate analysis revealed no significant group main effects or interactions in DTI or NODDI metrics. Fractional anisotropy and neurite density index in all tracts exhibited a significant positive association with age and mean diffusivity in all tracts exhibited a significant negative association with age in the whole sample. Conclusions: Overall, there were no significant differences between mTBI and OI groups in brain white matter microstructure from either DTI or NODDI in the seven tracts. This indicates that mTBI is associated with relatively minor white matter differences, if any, at the post-acute stage. Brain differences may evolve at later stages of injury, so longitudinal studies with long-term follow-up are needed.Ayushi ShuklaAshley L. WareSunny GuoBradley GoodyearMiriam H. BeauchampRoger ZemekWilliam CraigQuynh DoanChristian BeaulieuKeith O. YeatesCatherine LebelElsevierarticleDiffusion tensor imagingNeurite orientation dispersion and density imagingpediatric mTBIMild orthopedic injuryComputer applications to medicine. Medical informaticsR858-859.7Neurology. Diseases of the nervous systemRC346-429ENNeuroImage: Clinical, Vol 32, Iss , Pp 102887- (2021)
institution DOAJ
collection DOAJ
language EN
topic Diffusion tensor imaging
Neurite orientation dispersion and density imaging
pediatric mTBI
Mild orthopedic injury
Computer applications to medicine. Medical informatics
R858-859.7
Neurology. Diseases of the nervous system
RC346-429
spellingShingle Diffusion tensor imaging
Neurite orientation dispersion and density imaging
pediatric mTBI
Mild orthopedic injury
Computer applications to medicine. Medical informatics
R858-859.7
Neurology. Diseases of the nervous system
RC346-429
Ayushi Shukla
Ashley L. Ware
Sunny Guo
Bradley Goodyear
Miriam H. Beauchamp
Roger Zemek
William Craig
Quynh Doan
Christian Beaulieu
Keith O. Yeates
Catherine Lebel
Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
description Background: Pediatric mild traumatic brain injury (mTBI) affects millions of children annually. Diffusion tensor imaging (DTI) is sensitive to axonal injuries and white matter microstructure and has been used to characterize the brain changes associated with mild traumatic brain injury (mTBI). Neurite orientation dispersion and density imaging (NODDI) is a diffusion model that can provide additional insight beyond traditional DTI metrics, but has not been examined in pediatric mTBI. The goal of this study was to employ DTI and NODDI to gain added insight into white matter alterations in children with mTBI compared to children with mild orthopedic injury (OI). Methods: Children (mTBI n = 320, OI n = 176) aged 8–16.99 years (12.39 ± 2.32 years) were recruited from emergency departments at five hospitals across Canada and underwent 3 T MRI on average 11 days post-injury. DTI and NODDI metrics were calculated for seven major white matter tracts and compared between groups using univariate analysis of covariance controlling for age, sex, and scanner type. False discovery rate (FDR) was used to correct for multiple comparisons. Results: Univariate analysis revealed no significant group main effects or interactions in DTI or NODDI metrics. Fractional anisotropy and neurite density index in all tracts exhibited a significant positive association with age and mean diffusivity in all tracts exhibited a significant negative association with age in the whole sample. Conclusions: Overall, there were no significant differences between mTBI and OI groups in brain white matter microstructure from either DTI or NODDI in the seven tracts. This indicates that mTBI is associated with relatively minor white matter differences, if any, at the post-acute stage. Brain differences may evolve at later stages of injury, so longitudinal studies with long-term follow-up are needed.
format article
author Ayushi Shukla
Ashley L. Ware
Sunny Guo
Bradley Goodyear
Miriam H. Beauchamp
Roger Zemek
William Craig
Quynh Doan
Christian Beaulieu
Keith O. Yeates
Catherine Lebel
author_facet Ayushi Shukla
Ashley L. Ware
Sunny Guo
Bradley Goodyear
Miriam H. Beauchamp
Roger Zemek
William Craig
Quynh Doan
Christian Beaulieu
Keith O. Yeates
Catherine Lebel
author_sort Ayushi Shukla
title Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
title_short Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
title_full Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
title_fullStr Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
title_full_unstemmed Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
title_sort examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: an a-cap study
publisher Elsevier
publishDate 2021
url https://doaj.org/article/ce5710748b7743688fff2df9d18a0294
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