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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...

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Autores principales: Diamond, Bram R., Donald, Christine L. Mac, Frau-Pascual, Aina, Snider, Samuel B., Fischl, Bruce, Dams-O'Connor, Kristen, Edlow, Brian L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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.
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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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