Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Scientific Reports Année : 2020

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

Simone Kühn
  • Fonction : Auteur
Anna Mascherek
Tobias Banaschewski
Arun Bokde
  • Fonction : Auteur
Christian Büchel
  • Fonction : Auteur
Erin Burke Quinlan
  • Fonction : Auteur
Sylvane Desrivières
Herta Flor
  • Fonction : Auteur
Antoine Grigis
  • Fonction : Auteur
Hugh Garavan
  • Fonction : Auteur
Penny Gowland
  • Fonction : Auteur
Andreas Heinz
  • Fonction : Auteur
Bernd Ittermann
  • Fonction : Auteur
Frauke Nees
  • Fonction : Auteur
Tomáš Paus
  • Fonction : Auteur
Luise Poustka
  • Fonction : Auteur
Sabina Millenet
  • Fonction : Auteur
Juliane Fröhner
  • Fonction : Auteur
Michael Smolka
Henrik Walter
Robert Whelan
  • Fonction : Auteur
Gunter Schumann
  • Fonction : Auteur
Ulman Lindenberger
Jürgen Gallinat
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-04478355 , version 1 (26-02-2024)

Identifiants

Citer

Simone Kühn, Anna Mascherek, Tobias Banaschewski, Arun Bokde, Christian Büchel, 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, 10 (1), pp.1207. ⟨10.1038/s41598-020-58128-x⟩. ⟨hal-04478355⟩
2 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More