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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7718905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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