Zugriffsnummer 49881
Dokumenttyp Zeitschriftenartikel Open Access Hybrid
Peer Review mit Peer Review
Sprache Englisch
Titel Trajectories of cortical structures associated with stress across adolescence: a bivariate latent change score approach
Autor(in); Institution
Nweze, T.; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
Banaschewski, T.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Ajaelu, C.; Department of Psychology, Nnamdi Azikiwe University, Awka, NIGERIA
Okoye, C.; Department of Psychology, Nnamdi Azikiwe University, Awka, NIGERIA
Ezenwa, M.; Department of Psychology, Nnamdi Azikiwe University, Awka, NIGERIA
Whelan, R.; School of Psychology, Global Brain Health Institute, Trinity College Dublin, Dublin, IRELAND
Papadopoulos Orfanos, D.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Bokde, A.; Discipline of Psychiatry, School of Medicine, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, IRELAND
Desrivières, S.; SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, UK
Grigis, A.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Garavan, H.; Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
Gowland, P.; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
Heinz, A.; Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, GERMANY
Brühl, Rüdiger; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Martinot, J.-L.; Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, INSERM U1299 “Trajectoires développementales Psychiatrie”, Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Centre Borelli, Gif-sur-Yvette, FRANCE
Paillère Martinot, M.-L.; CNRS, Institut National de la Sante et de la Recherche Medicale, Universite Paris-Saclay, Paris, FRANCE
Artiges, E.; CNRS, Institut National de la Sante et de la Recherche Medicale, Universite Paris-Saclay, Etampes, FRANCE
Nees, F.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Paus, T.; Departmentof Psychiatry, Faculty of Medicine, Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada Department of Psychiatry, Faculty of Medicine, Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, CANADA
Poustka, L.; Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, GERMANY
Hohmann, S.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Millinet, S.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Fröhner, J.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Smolka, M.; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GERMANY
Walter, H.; Department of Psychiatry and Psychotherapy CCM, Charite–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, GERMANY
Schumann, G.; Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatryand Neuroscience, Charite Universitätsmedizin Berlin, Berlin, GERMANY
Hanson, J.; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
Quelle/Jahr Journal of Child Psychology and Psychiatry: 64 (2023), 8, 1159 - 1175
ISSN 0021-9630 (print) ; 1469-7610 (online)
DOI
Verlag Oxford: Wiley
Freie Schlagworte Phantom ; Quality control ; T1 mapping ; T2 mapping
Zusammenfassung Recent longitudinal studies in youth have reported MRI correlates of prospective anxiety symptoms during adolescence, a vulnerable period for the onset of anxiety disorders. However, their predictive value has not been established. Individual prediction through machine-learning algorithms might help bridge the gap to clinical relevance. A voting classifier with Random Forest, Support Vector Machine and Logistic Regression algorithms was used to evaluate the predictive pertinence of gray matter volumes of interest and psychometric scores in the detection of prospective clinical anxiety. Participants with clinical anxiety at age 18-23 (N = 156) were investigated at age 14 along with healthy controls (N = 424). Shapley values were extracted for in-depth interpretation of feature importance. Prospective prediction of pooled anxiety disorders relied mostly on psychometric features and achieved moderate performance (area under the receiver operating curve = 0.68), while generalized anxiety disorder (GAD) prediction achieved similar performance. MRI regional volumes did not improve the prediction performance of prospective pooled anxiety disorders with respect to psychometric features alone, but they improved the prediction performance of GAD, with the caudate and pallidum volumes being among the most contributing features. To conclude, in non-anxious 14 year old adolescents, future clinical anxiety onset 4-8 years later could be individually predicted. Psychometric features such as neuroticism, hopelessness and emotional symptoms were the main contributors to pooled anxiety disorders prediction. Neuroanatomical data, such as caudate and pallidum volume, proved valuable for GAD and should be included in prospective clinical anxiety prediction in adolescents.
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Rechteinformation CC BY 4.0 ; Creative Commons Attribution 4.0 License

Zitierung

Nweze, T., Banaschewski, T., Ajaelu, C., Okoye, C., Ezenwa, M., Whelan, R., Papadopoulos Orfanos, D., Bokde, A., Desrivières, S., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Brühl, R., Martinot, J.-L., Paillère Martinot, M.-L., Artiges, E., Nees, F., Paus, T., Poustka, L., Hohmann, S., Millinet, S., Fröhner, J., Smolka, M., Walter, H., Schumann, G., & Hanson, J. (2023). Trajectories of cortical structures associated with stress across adolescence: a bivariate latent change score approach. Journal of Child Psychology and Psychiatry, 64(8), 1159–1175. https://doi.org/10.1111/jcpp.13793

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