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Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury
Cortical volumetric analysis is widely used to study the anatomic basis of neurological deficits in patients with traumatic brain injury (TBI). However, patients with TBI-related lesions are often excluded from MRI analyses because cortical lesions may compromise the accuracy of reconstructed surfac...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393399/ https://www.ncbi.nlm.nih.gov/pubmed/32760659 http://dx.doi.org/10.1016/j.mex.2020.100994 |
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author | Diamond, Bram R. Donald, Christine L. Mac Frau-Pascual, Aina Snider, Samuel B. Fischl, Bruce Dams-O'Connor, Kristen Edlow, Brian L. |
author_facet | Diamond, Bram R. Donald, Christine L. Mac Frau-Pascual, Aina Snider, Samuel B. Fischl, Bruce Dams-O'Connor, Kristen Edlow, Brian L. |
author_sort | Diamond, Bram R. |
collection | PubMed |
description | Cortical volumetric analysis is widely used to study the anatomic basis of neurological deficits in patients with traumatic brain injury (TBI). However, patients with TBI-related lesions are often excluded from MRI analyses because cortical lesions may compromise the accuracy of reconstructed surfaces upon which volumetric measurements are based. We developed a FreeSurfer-based lesion correction method and tested its impact on cortical volume measures in 87 patients with chronic moderate-to-severe TBI. We reconstructed cortical surfaces from T1-weighted MRI scans, then manually labeled and removed vertices on the cortical surfaces where lesions caused inaccuracies. Next, we measured the surface area of lesion overlap with seven canonical brain networks and the percent volume of each network affected by lesions. • The lesion correction method revealed that cortical lesions in patients with TBI are preferentially located in the limbic and default mode networks (95.7% each), with the limbic network also having the largest average surface area (4.4+/−3.7%) and percent volume affected by lesions (12.7+/−9.7%). • The method has the potential to improve the accuracy of cortical volumetric measurements and permit inclusion of patients with lesioned brains in MRI analyses. • The method also provides new opportunities to elucidate network-based mechanisms of neurological deficits in patients with TBI. |
format | Online Article Text |
id | pubmed-7393399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73933992020-08-04 Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury Diamond, Bram R. Donald, Christine L. Mac Frau-Pascual, Aina Snider, Samuel B. Fischl, Bruce Dams-O'Connor, Kristen Edlow, Brian L. MethodsX Neuroscience Cortical volumetric analysis is widely used to study the anatomic basis of neurological deficits in patients with traumatic brain injury (TBI). However, patients with TBI-related lesions are often excluded from MRI analyses because cortical lesions may compromise the accuracy of reconstructed surfaces upon which volumetric measurements are based. We developed a FreeSurfer-based lesion correction method and tested its impact on cortical volume measures in 87 patients with chronic moderate-to-severe TBI. We reconstructed cortical surfaces from T1-weighted MRI scans, then manually labeled and removed vertices on the cortical surfaces where lesions caused inaccuracies. Next, we measured the surface area of lesion overlap with seven canonical brain networks and the percent volume of each network affected by lesions. • The lesion correction method revealed that cortical lesions in patients with TBI are preferentially located in the limbic and default mode networks (95.7% each), with the limbic network also having the largest average surface area (4.4+/−3.7%) and percent volume affected by lesions (12.7+/−9.7%). • The method has the potential to improve the accuracy of cortical volumetric measurements and permit inclusion of patients with lesioned brains in MRI analyses. • The method also provides new opportunities to elucidate network-based mechanisms of neurological deficits in patients with TBI. Elsevier 2020-07-11 /pmc/articles/PMC7393399/ /pubmed/32760659 http://dx.doi.org/10.1016/j.mex.2020.100994 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Neuroscience Diamond, Bram R. Donald, Christine L. Mac Frau-Pascual, Aina Snider, Samuel B. Fischl, Bruce Dams-O'Connor, Kristen Edlow, Brian L. Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
title | Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
title_full | Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
title_fullStr | Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
title_full_unstemmed | Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
title_short | Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
title_sort | optimizing the accuracy of cortical volumetric analysis in traumatic brain injury |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393399/ https://www.ncbi.nlm.nih.gov/pubmed/32760659 http://dx.doi.org/10.1016/j.mex.2020.100994 |
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