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Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia

Bipolar disorder and schizophrenia are associated with brain morphometry alterations. This study investigates inter-individual variability in brain structural profiles, both within diagnostic groups and between patients and healthy individuals. Brain morphometric measures from three independent samp...

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Autores principales: Doucet, Gaelle E., Lin, Dongdong, Du, Yuhui, Fu, Zening, Glahn, David C., Calhoun, Vincent D., Turner, Jessica, Frangou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718905/
https://www.ncbi.nlm.nih.gov/pubmed/33277498
http://dx.doi.org/10.1038/s41537-020-00128-x
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author Doucet, Gaelle E.
Lin, Dongdong
Du, Yuhui
Fu, Zening
Glahn, David C.
Calhoun, Vincent D.
Turner, Jessica
Frangou, Sophia
author_facet Doucet, Gaelle E.
Lin, Dongdong
Du, Yuhui
Fu, Zening
Glahn, David C.
Calhoun, Vincent D.
Turner, Jessica
Frangou, Sophia
author_sort Doucet, Gaelle E.
collection PubMed
description Bipolar disorder and schizophrenia are associated with brain morphometry alterations. This study investigates inter-individual variability in brain structural profiles, both within diagnostic groups and between patients and healthy individuals. Brain morphometric measures from three independent samples of patients with schizophrenia (n = 168), bipolar disorder (n = 122), and healthy individuals (n = 180) were modeled as single vectors to generated individualized profiles of subcortical volumes and regional cortical thickness. These profiles were then used to compute a person-based similarity index (PBSI) for subcortical volumes and for regional cortical thickness, to quantify the within-group similarity of the morphometric profile of each individual to that of the other participants in the same diagnostic group. There was no effect of diagnosis on the PBSI for subcortical volumes. In contrast, compared to healthy individuals, the PBSI for cortical thickness was lower in patients with schizophrenia (effect size = 0.4, p ≤ 0.0002), but not in patients with bipolar disorder. The results were robust and reproducible across samples. We conclude that disease mechanisms for these disorders produce modest inter-individual variations in brain morphometry that should be considered in future studies attempting to cluster patients in subgroups.
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spelling pubmed-77189052020-12-07 Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia Doucet, Gaelle E. Lin, Dongdong Du, Yuhui Fu, Zening Glahn, David C. Calhoun, Vincent D. Turner, Jessica Frangou, Sophia NPJ Schizophr Article Bipolar disorder and schizophrenia are associated with brain morphometry alterations. This study investigates inter-individual variability in brain structural profiles, both within diagnostic groups and between patients and healthy individuals. Brain morphometric measures from three independent samples of patients with schizophrenia (n = 168), bipolar disorder (n = 122), and healthy individuals (n = 180) were modeled as single vectors to generated individualized profiles of subcortical volumes and regional cortical thickness. These profiles were then used to compute a person-based similarity index (PBSI) for subcortical volumes and for regional cortical thickness, to quantify the within-group similarity of the morphometric profile of each individual to that of the other participants in the same diagnostic group. There was no effect of diagnosis on the PBSI for subcortical volumes. In contrast, compared to healthy individuals, the PBSI for cortical thickness was lower in patients with schizophrenia (effect size = 0.4, p ≤ 0.0002), but not in patients with bipolar disorder. The results were robust and reproducible across samples. We conclude that disease mechanisms for these disorders produce modest inter-individual variations in brain morphometry that should be considered in future studies attempting to cluster patients in subgroups. Nature Publishing Group UK 2020-12-04 /pmc/articles/PMC7718905/ /pubmed/33277498 http://dx.doi.org/10.1038/s41537-020-00128-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Doucet, Gaelle E.
Lin, Dongdong
Du, Yuhui
Fu, Zening
Glahn, David C.
Calhoun, Vincent D.
Turner, Jessica
Frangou, Sophia
Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
title Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
title_full Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
title_fullStr Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
title_full_unstemmed Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
title_short Personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
title_sort personalized estimates of morphometric similarity in bipolar disorder and schizophrenia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718905/
https://www.ncbi.nlm.nih.gov/pubmed/33277498
http://dx.doi.org/10.1038/s41537-020-00128-x
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