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Automated versus manual segmentation of brain region volumes in former football players

OBJECTIVES: To determine whether or not automated FreeSurfer segmentation of brain regions considered important in repetitive head trauma can be analyzed accurately without manual correction. MATERIALS AND METHODS: 3 T MR neuroimaging was performed with automated FreeSurfer segmentation and manual c...

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Autores principales: Guenette, Jeffrey P., Stern, Robert A., Tripodis, Yorghos, Chua, Alicia S., Schultz, Vivian, Sydnor, Valerie J., Somes, Nathaniel, Karmacharya, Sarina, Lepage, Christian, Wrobel, Pawel, Alosco, Michael L., Martin, Brett M., Chaisson, Christine E., Coleman, Michael J., Lin, Alexander P., Pasternak, Ofer, Makris, Nikos, Shenton, Martha E., Koerte, Inga K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988230/
https://www.ncbi.nlm.nih.gov/pubmed/29876273
http://dx.doi.org/10.1016/j.nicl.2018.03.026
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author Guenette, Jeffrey P.
Stern, Robert A.
Tripodis, Yorghos
Chua, Alicia S.
Schultz, Vivian
Sydnor, Valerie J.
Somes, Nathaniel
Karmacharya, Sarina
Lepage, Christian
Wrobel, Pawel
Alosco, Michael L.
Martin, Brett M.
Chaisson, Christine E.
Coleman, Michael J.
Lin, Alexander P.
Pasternak, Ofer
Makris, Nikos
Shenton, Martha E.
Koerte, Inga K.
author_facet Guenette, Jeffrey P.
Stern, Robert A.
Tripodis, Yorghos
Chua, Alicia S.
Schultz, Vivian
Sydnor, Valerie J.
Somes, Nathaniel
Karmacharya, Sarina
Lepage, Christian
Wrobel, Pawel
Alosco, Michael L.
Martin, Brett M.
Chaisson, Christine E.
Coleman, Michael J.
Lin, Alexander P.
Pasternak, Ofer
Makris, Nikos
Shenton, Martha E.
Koerte, Inga K.
author_sort Guenette, Jeffrey P.
collection PubMed
description OBJECTIVES: To determine whether or not automated FreeSurfer segmentation of brain regions considered important in repetitive head trauma can be analyzed accurately without manual correction. MATERIALS AND METHODS: 3 T MR neuroimaging was performed with automated FreeSurfer segmentation and manual correction of 11 brain regions in former National Football League (NFL) players with neurobehavioral symptoms and in control subjects. Automated segmentation and manually-corrected volumes were compared using an intraclass correlation coefficient (ICC). Linear mixed effects regression models were also used to estimate between-group mean volume comparisons and to correlate former NFL player brain volumes with neurobehavioral factors. RESULTS: Eighty-six former NFL players (55.2 ± 8.0 years) and 22 control subjects (57.0 ± 6.6 years) were evaluated. ICC was highly correlated between automated and manually-corrected corpus callosum volumes (0.911), lateral ventricular volumes (right 0.980, left 0.967), and amygdala-hippocampal complex volumes (right 0.713, left 0.731), but less correlated when amygdalae (right −0.170, left −0.090) and hippocampi (right 0.539, left 0.637) volumes were separately delineated and also less correlated for cingulate gyri volumes (right 0.639, left 0.351). Statistically significant differences between former NFL player and controls were identified in 8 of 11 regions with manual correction but in only 4 of 11 regions without such correction. Within NFL players, manually corrected brain volumes were significantly associated with 3 neurobehavioral factors, but a different set of 3 brain regions and neurobehavioral factor correlations was observed for brain region volumes segmented without manual correction. CONCLUSIONS: Automated FreeSurfer segmentation of the corpus callosum, lateral ventricles, and amygdala-hippocampus complex may be appropriate for analysis without manual correction. However, FreeSurfer segmentation of the amygdala, hippocampus, and cingulate gyrus need further manual correction prior to performing group comparisons and correlations with neurobehavioral measures.
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spelling pubmed-59882302018-06-06 Automated versus manual segmentation of brain region volumes in former football players Guenette, Jeffrey P. Stern, Robert A. Tripodis, Yorghos Chua, Alicia S. Schultz, Vivian Sydnor, Valerie J. Somes, Nathaniel Karmacharya, Sarina Lepage, Christian Wrobel, Pawel Alosco, Michael L. Martin, Brett M. Chaisson, Christine E. Coleman, Michael J. Lin, Alexander P. Pasternak, Ofer Makris, Nikos Shenton, Martha E. Koerte, Inga K. Neuroimage Clin Regular Article OBJECTIVES: To determine whether or not automated FreeSurfer segmentation of brain regions considered important in repetitive head trauma can be analyzed accurately without manual correction. MATERIALS AND METHODS: 3 T MR neuroimaging was performed with automated FreeSurfer segmentation and manual correction of 11 brain regions in former National Football League (NFL) players with neurobehavioral symptoms and in control subjects. Automated segmentation and manually-corrected volumes were compared using an intraclass correlation coefficient (ICC). Linear mixed effects regression models were also used to estimate between-group mean volume comparisons and to correlate former NFL player brain volumes with neurobehavioral factors. RESULTS: Eighty-six former NFL players (55.2 ± 8.0 years) and 22 control subjects (57.0 ± 6.6 years) were evaluated. ICC was highly correlated between automated and manually-corrected corpus callosum volumes (0.911), lateral ventricular volumes (right 0.980, left 0.967), and amygdala-hippocampal complex volumes (right 0.713, left 0.731), but less correlated when amygdalae (right −0.170, left −0.090) and hippocampi (right 0.539, left 0.637) volumes were separately delineated and also less correlated for cingulate gyri volumes (right 0.639, left 0.351). Statistically significant differences between former NFL player and controls were identified in 8 of 11 regions with manual correction but in only 4 of 11 regions without such correction. Within NFL players, manually corrected brain volumes were significantly associated with 3 neurobehavioral factors, but a different set of 3 brain regions and neurobehavioral factor correlations was observed for brain region volumes segmented without manual correction. CONCLUSIONS: Automated FreeSurfer segmentation of the corpus callosum, lateral ventricles, and amygdala-hippocampus complex may be appropriate for analysis without manual correction. However, FreeSurfer segmentation of the amygdala, hippocampus, and cingulate gyrus need further manual correction prior to performing group comparisons and correlations with neurobehavioral measures. Elsevier 2018-03-21 /pmc/articles/PMC5988230/ /pubmed/29876273 http://dx.doi.org/10.1016/j.nicl.2018.03.026 Text en © 2018 The Authors. Published by Elsevier Inc. http://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
Guenette, Jeffrey P.
Stern, Robert A.
Tripodis, Yorghos
Chua, Alicia S.
Schultz, Vivian
Sydnor, Valerie J.
Somes, Nathaniel
Karmacharya, Sarina
Lepage, Christian
Wrobel, Pawel
Alosco, Michael L.
Martin, Brett M.
Chaisson, Christine E.
Coleman, Michael J.
Lin, Alexander P.
Pasternak, Ofer
Makris, Nikos
Shenton, Martha E.
Koerte, Inga K.
Automated versus manual segmentation of brain region volumes in former football players
title Automated versus manual segmentation of brain region volumes in former football players
title_full Automated versus manual segmentation of brain region volumes in former football players
title_fullStr Automated versus manual segmentation of brain region volumes in former football players
title_full_unstemmed Automated versus manual segmentation of brain region volumes in former football players
title_short Automated versus manual segmentation of brain region volumes in former football players
title_sort automated versus manual segmentation of brain region volumes in former football players
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988230/
https://www.ncbi.nlm.nih.gov/pubmed/29876273
http://dx.doi.org/10.1016/j.nicl.2018.03.026
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