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

Simone Kühn; Anna Mascherek; Tobias Banaschewski; Arun L.W. Bokde; Christian Büchel; Erin Burke Quinlan; Sylvane Desrivières; Herta Flor; Antoine Grigis; Hugh Garavan; Penny Gowland; Andreas Heinz; Bernd Ittermann; Jean Luc Martinot; Marie Laure Paillère Martinot; Frauke Nees; Dimitri Papadopoulos Orfanos; Tomáš Paus; Luise Poustka; Sabina Millenet; Juliane H. Fröhner; Michael N. Smolka; Henrik Walter; Robert Whelan; Gunter Schumann; Ulman Lindenberger; Jürgen Gallinat

doi:10.1038/s41598-020-58128-x

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

Simone Kühn
, Anna Mascherek^*
, Tobias Banaschewski
, Arun L.W. Bokde
, Christian Büchel
, Erin Burke Quinlan
, Sylvane Desrivières
, Herta Flor
, Antoine Grigis
, Hugh Garavan
, Penny Gowland
, Andreas Heinz
, Bernd Ittermann
, Jean Luc Martinot
, Marie Laure Paillère Martinot
, Frauke Nees
, Dimitri Papadopoulos Orfanos
, Tomáš Paus
, Luise Poustka
, Sabina Millenet

Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Ulman Lindenberger, Jürgen Gallinat

^*Corresponding author for this work

Universitatsklinikum Hamburg-Eppendorf und Medizinische Fakultat
Max-Planck-Institute-for-Human-Development
Universitatsklinikum Mannheim
Department of Urology
Heidelberg University
Université Paris-Saclay
University of Vermont
University of Nottingham
Institute for Radiology, CCM
Physikalisch-Technische Bundesanstalt
University of Paris XI - University of Paris-Sud
University Health Network, Toronto
University Medical Center Göttingen
Medical University of Vienna
TU Dresden
Max Planck UCL Centre for Computational Psychiatry and Ageing Research

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

137 Downloads (Pure)

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.

Original language	English
Article number	1207
Journal	Scientific Reports
Volume	10
Issue number	1
Early online date	27 Jan 2020
DOIs	https://doi.org/10.1038/s41598-020-58128-x
Publication status	Published - 27 Jan 2020

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Predicting change trajectories of neuroticism_SCHUMANN_Publishedonline27January2020_GOLD VoR (CC BY)Final published version, 1.16 MBLicence: CC BY

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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. Scientific Reports, 10(1), Article 1207. https://doi.org/10.1038/s41598-020-58128-x

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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.",

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doi = "10.1038/s41598-020-58128-x",

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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

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.

UR - https://www.scopus.com/pages/publications/85078341078

U2 - 10.1038/s41598-020-58128-x

DO - 10.1038/s41598-020-58128-x

M3 - Article

C2 - 31988389

AN - SCOPUS:85078341078

SN - 2045-2322

VL - 10

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 1207

ER -

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

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