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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: Scientific Reports, Vol. 10, No. 1, 1207, 01.12.2020.

Research output: Contribution to journalArticle

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, JL, Martinot, MLP, 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', Scientific Reports, vol. 10, no. 1, 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., ... Gallinat, J. (2020). Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents. Scientific Reports, 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. Scientific Reports. 2020 Dec 1;10(1). 1207. https://doi.org/10.1038/s41598-020-58128-x

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. / Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents. In: Scientific Reports. 2020 ; Vol. 10, No. 1.

Bibtex Download

@article{85496546423e4296b363a3c3a00c32a2,
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 Martinot, {Jean Luc} and Martinot, {Marie Laure Paill{\`e}re} and Frauke Nees and Orfanos, {Dimitri Papadopoulos} and Tom{\'a}š 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 = "12",
day = "1",
doi = "10.1038/s41598-020-58128-x",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

RIS (suitable for import to EndNote) Download

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 - 2020/12/1

Y1 - 2020/12/1

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.

UR - http://www.scopus.com/inward/record.url?scp=85078341078&partnerID=8YFLogxK

U2 - 10.1038/s41598-020-58128-x

DO - 10.1038/s41598-020-58128-x

M3 - Article

C2 - 31988389

AN - SCOPUS:85078341078

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 1207

ER -

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