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Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents
Adolescence is a vulnerable time for personality development. Especially neuroticism with its link to the development of psychopathology is of interest concerning influential factors. The present study exploratorily investigates neuroanatomical signatures for developmental trajectories of neuroticis...
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/PMC6985226/ https://www.ncbi.nlm.nih.gov/pubmed/31988389 http://dx.doi.org/10.1038/s41598-020-58128-x |
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author | Kühn, Simone Mascherek, Anna Banaschewski, Tobias Bokde, Arun L. W. Büchel, Christian Quinlan, Erin Burke Desrivières, Sylvane Flor, Herta Grigis, Antoine Garavan, Hugh Gowland, Penny Heinz, Andreas Ittermann, Bernd Martinot, Jean-Luc Martinot, Marie-Laure Paillère Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomáš Poustka, Luise Millenet, Sabina Fröhner, Juliane H. Smolka, Michael N. Walter, Henrik Whelan, Robert Schumann, Gunter Lindenberger, Ulman Gallinat, Jürgen |
author_facet | Kühn, Simone Mascherek, Anna Banaschewski, Tobias Bokde, Arun L. W. Büchel, Christian Quinlan, Erin Burke Desrivières, Sylvane Flor, Herta Grigis, Antoine Garavan, Hugh Gowland, Penny Heinz, Andreas Ittermann, Bernd Martinot, Jean-Luc Martinot, Marie-Laure Paillère Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomáš Poustka, Luise Millenet, Sabina Fröhner, Juliane H. Smolka, Michael N. Walter, Henrik Whelan, Robert Schumann, Gunter Lindenberger, Ulman Gallinat, Jürgen |
author_sort | Kühn, Simone |
collection | PubMed |
description | Adolescence is a vulnerable time for personality development. Especially neuroticism with its link to the development of psychopathology is of interest concerning influential factors. The present study exploratorily investigates neuroanatomical signatures for developmental trajectories of neuroticism based on a voxel-wise whole-brain structural equation modelling framework. In 1,814 healthy adolescents of the IMAGEN sample, the NEO-FFI was acquired at three measurement occasions across five years. Based on a partial measurement invariance second-order latent growth curve model we conducted whole-brain analyses on structural MRI data at age 14 years, predicting change in neuroticism over time. We observed that a reduced volume in the pituitary gland was associated with the slope of neuroticism over time. However, no relations with prefrontal areas emerged. Both findings are discussed against the background of possible genetic and social influences that may account for this result. |
format | Online Article Text |
id | pubmed-6985226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69852262020-01-31 Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents Kühn, Simone Mascherek, Anna Banaschewski, Tobias Bokde, Arun L. W. Büchel, Christian Quinlan, Erin Burke Desrivières, Sylvane Flor, Herta Grigis, Antoine Garavan, Hugh Gowland, Penny Heinz, Andreas Ittermann, Bernd Martinot, Jean-Luc Martinot, Marie-Laure Paillère Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomáš Poustka, Luise Millenet, Sabina Fröhner, Juliane H. Smolka, Michael N. Walter, Henrik Whelan, Robert Schumann, Gunter Lindenberger, Ulman Gallinat, Jürgen Sci Rep Article Adolescence is a vulnerable time for personality development. Especially neuroticism with its link to the development of psychopathology is of interest concerning influential factors. The present study exploratorily investigates neuroanatomical signatures for developmental trajectories of neuroticism based on a voxel-wise whole-brain structural equation modelling framework. In 1,814 healthy adolescents of the IMAGEN sample, the NEO-FFI was acquired at three measurement occasions across five years. Based on a partial measurement invariance second-order latent growth curve model we conducted whole-brain analyses on structural MRI data at age 14 years, predicting change in neuroticism over time. We observed that a reduced volume in the pituitary gland was associated with the slope of neuroticism over time. However, no relations with prefrontal areas emerged. Both findings are discussed against the background of possible genetic and social influences that may account for this result. Nature Publishing Group UK 2020-01-27 /pmc/articles/PMC6985226/ /pubmed/31988389 http://dx.doi.org/10.1038/s41598-020-58128-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 Kühn, Simone Mascherek, Anna Banaschewski, Tobias Bokde, Arun L. W. Büchel, Christian Quinlan, Erin Burke Desrivières, Sylvane Flor, Herta Grigis, Antoine Garavan, Hugh Gowland, Penny Heinz, Andreas Ittermann, Bernd Martinot, Jean-Luc Martinot, Marie-Laure Paillère Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomáš Poustka, Luise Millenet, Sabina Fröhner, Juliane H. Smolka, Michael N. Walter, Henrik Whelan, Robert Schumann, Gunter Lindenberger, Ulman Gallinat, Jürgen Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
title | Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
title_full | Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
title_fullStr | Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
title_full_unstemmed | Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
title_short | Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
title_sort | predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985226/ https://www.ncbi.nlm.nih.gov/pubmed/31988389 http://dx.doi.org/10.1038/s41598-020-58128-x |
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