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Examining post-concussion white matter change in a pediatric sample
Diffusion-Weight Imaging (DWI) is increasingly used to explore a range of outcomes in pediatric concussion, particularly the neurobiological underpinnings of symptom recovery. However, the DWI findings within the broader pediatric concussion literature are mixed, which can largely be explained by me...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474493/ https://www.ncbi.nlm.nih.gov/pubmed/37634376 http://dx.doi.org/10.1016/j.nicl.2023.103486 |
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author | Takagi, Michael Ball, Gareth Babl, Franz E. Anderson, Nicholas Chen, Jian Clarke, Cathriona Davis, Gavin A. Hearps, Stephen J.C. Pascouau, Renee Cheng, Nicholas Rausa, Vanessa C. Seal, Marc Shapiro, Jesse S. Anderson, Vicki |
author_facet | Takagi, Michael Ball, Gareth Babl, Franz E. Anderson, Nicholas Chen, Jian Clarke, Cathriona Davis, Gavin A. Hearps, Stephen J.C. Pascouau, Renee Cheng, Nicholas Rausa, Vanessa C. Seal, Marc Shapiro, Jesse S. Anderson, Vicki |
author_sort | Takagi, Michael |
collection | PubMed |
description | Diffusion-Weight Imaging (DWI) is increasingly used to explore a range of outcomes in pediatric concussion, particularly the neurobiological underpinnings of symptom recovery. However, the DWI findings within the broader pediatric concussion literature are mixed, which can largely be explained by methodological heterogeneity. To address some of these limitations, the aim of the present study was to utilize internationally- recognized criteria for concussion and a consistent imaging timepoint to conduct a comprehensive, multi-parametric survey of white matter microstructure after concussion. Forty-three children presenting with concussion to the emergency department of a tertiary level pediatric hospital underwent neuroimaging and were classified as either normally recovering (n = 27), or delayed recovering (n = 14) based on their post-concussion symptoms at 2 weeks post-injury. We combined multiple DWI metrics across four modeling approaches using Linked Independent Component Analysis (LICA) to extract several independent patterns of covariation in tissue microstructure present in the study cohort. Our analysis did not identify significant differences between the symptomatic and asymptomatic groups and no component significantly predicted delayed recovery. If white matter microstructure changes are implicated in delayed recovery from concussion, these findings, alongside previous work, suggest that current diffusion techniques are insufficient to detect those changes at this time. |
format | Online Article Text |
id | pubmed-10474493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104744932023-09-03 Examining post-concussion white matter change in a pediatric sample Takagi, Michael Ball, Gareth Babl, Franz E. Anderson, Nicholas Chen, Jian Clarke, Cathriona Davis, Gavin A. Hearps, Stephen J.C. Pascouau, Renee Cheng, Nicholas Rausa, Vanessa C. Seal, Marc Shapiro, Jesse S. Anderson, Vicki Neuroimage Clin Regular Article Diffusion-Weight Imaging (DWI) is increasingly used to explore a range of outcomes in pediatric concussion, particularly the neurobiological underpinnings of symptom recovery. However, the DWI findings within the broader pediatric concussion literature are mixed, which can largely be explained by methodological heterogeneity. To address some of these limitations, the aim of the present study was to utilize internationally- recognized criteria for concussion and a consistent imaging timepoint to conduct a comprehensive, multi-parametric survey of white matter microstructure after concussion. Forty-three children presenting with concussion to the emergency department of a tertiary level pediatric hospital underwent neuroimaging and were classified as either normally recovering (n = 27), or delayed recovering (n = 14) based on their post-concussion symptoms at 2 weeks post-injury. We combined multiple DWI metrics across four modeling approaches using Linked Independent Component Analysis (LICA) to extract several independent patterns of covariation in tissue microstructure present in the study cohort. Our analysis did not identify significant differences between the symptomatic and asymptomatic groups and no component significantly predicted delayed recovery. If white matter microstructure changes are implicated in delayed recovery from concussion, these findings, alongside previous work, suggest that current diffusion techniques are insufficient to detect those changes at this time. Elsevier 2023-08-08 /pmc/articles/PMC10474493/ /pubmed/37634376 http://dx.doi.org/10.1016/j.nicl.2023.103486 Text en © 2023 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Takagi, Michael Ball, Gareth Babl, Franz E. Anderson, Nicholas Chen, Jian Clarke, Cathriona Davis, Gavin A. Hearps, Stephen J.C. Pascouau, Renee Cheng, Nicholas Rausa, Vanessa C. Seal, Marc Shapiro, Jesse S. Anderson, Vicki Examining post-concussion white matter change in a pediatric sample |
title | Examining post-concussion white matter change in a pediatric sample |
title_full | Examining post-concussion white matter change in a pediatric sample |
title_fullStr | Examining post-concussion white matter change in a pediatric sample |
title_full_unstemmed | Examining post-concussion white matter change in a pediatric sample |
title_short | Examining post-concussion white matter change in a pediatric sample |
title_sort | examining post-concussion white matter change in a pediatric sample |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474493/ https://www.ncbi.nlm.nih.gov/pubmed/37634376 http://dx.doi.org/10.1016/j.nicl.2023.103486 |
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