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Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents

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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.

in: SCI REP-UK, Jahrgang 10, Nr. 1, 27.01.2020, S. 1207.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Kühn, S, Mascherek, A, Banaschewski, T, Bokde, ALW, Büchel, C, Quinlan, EB, Desrivières, S, Flor, H, Grigis, A, Garavan, H, Gowland, P, Heinz, A, Ittermann, B, Martinot, J-L, Martinot, M-LP, Nees, F, Orfanos, DP, Paus, T, Poustka, L, Millenet, S, Fröhner, JH, Smolka, MN, Walter, H, Whelan, R, Schumann, G, Lindenberger, U & Gallinat, J 2020, 'Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents', SCI REP-UK, Jg. 10, Nr. 1, S. 1207. https://doi.org/10.1038/s41598-020-58128-x

APA

Kühn, S., Mascherek, A., Banaschewski, T., Bokde, A. L. W., Büchel, C., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J-L., Martinot, M-L. P., Nees, F., Orfanos, D. P., Paus, T., Poustka, L., ... Gallinat, J. (2020). Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents. SCI REP-UK, 10(1), 1207. https://doi.org/10.1038/s41598-020-58128-x

Vancouver

Kühn S, Mascherek A, Banaschewski T, Bokde ALW, Büchel C, Quinlan EB et al. Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents. SCI REP-UK. 2020 Jan 27;10(1):1207. https://doi.org/10.1038/s41598-020-58128-x

Bibtex

@article{9a34019734d644faaebd5d1f84704135,
title = "Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents",
abstract = "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.",
author = "Simone K{\"u}hn and Anna Mascherek and Tobias Banaschewski and Bokde, {Arun L W} and Christian B{\"u}chel and Quinlan, {Erin Burke} and Sylvane Desrivi{\`e}res and Herta Flor and Antoine Grigis and Hugh Garavan and Penny Gowland and Andreas Heinz and Bernd Ittermann and Jean-Luc Martinot and Martinot, {Marie-Laure Paill{\`e}re} and Frauke Nees and Orfanos, {Dimitri Papadopoulos} and Tom{\'a}{\v s} Paus and Luise Poustka and Sabina Millenet and Fr{\"o}hner, {Juliane H} and Smolka, {Michael N} and Henrik Walter and Robert Whelan and Gunter Schumann and Ulman Lindenberger and J{\"u}rgen Gallinat",
year = "2020",
month = jan,
day = "27",
doi = "10.1038/s41598-020-58128-x",
language = "English",
volume = "10",
pages = "1207",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",
number = "1",

}

RIS

TY - JOUR

T1 - Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents

AU - Kühn, Simone

AU - Mascherek, Anna

AU - Banaschewski, Tobias

AU - Bokde, Arun L W

AU - Büchel, Christian

AU - Quinlan, Erin Burke

AU - Desrivières, Sylvane

AU - Flor, Herta

AU - Grigis, Antoine

AU - Garavan, Hugh

AU - Gowland, Penny

AU - Heinz, Andreas

AU - Ittermann, Bernd

AU - Martinot, Jean-Luc

AU - Martinot, Marie-Laure Paillère

AU - Nees, Frauke

AU - Orfanos, Dimitri Papadopoulos

AU - Paus, Tomáš

AU - Poustka, Luise

AU - Millenet, Sabina

AU - Fröhner, Juliane H

AU - Smolka, Michael N

AU - Walter, Henrik

AU - Whelan, Robert

AU - Schumann, Gunter

AU - Lindenberger, Ulman

AU - Gallinat, Jürgen

PY - 2020/1/27

Y1 - 2020/1/27

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-020-58128-x

DO - 10.1038/s41598-020-58128-x

M3 - SCORING: Journal article

C2 - 31988389

VL - 10

SP - 1207

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

IS - 1

ER -