| Zugriffsnummer | 50837 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Brain networks and adolescent alcohol use |
| Autor(in); Institution |
Yip, S.; Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA; Child Study Center, Yale School of Medicine, New Haven, Connecticut, USA
Lichenstein, S.; Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
Liang, Q.; Department of Biomedical Engineering, Yale School of Medicine, New Haven, Connecticut, USA
Chaarani, B.; Department of Psychiatry, University of Vermont, Burlington, USA
Dager, A.; Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
Pearlson, G.; Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, Connecticut, USA; Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut, USA
Banaschewski, T.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Bokde, A.; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
Desrivières, S.; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
Flor, H.; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, GERMANY
Grigis, A.; Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, GERMANY
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 Campus Charité Mitte, Charité – Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GERMANY
Martinot, J.; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Saclay, University Paris Descartes - Sorbonne Paris Cité; and Maison de Solenn, Paris, FRANCE
Martinot, M.; Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; and AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, FRANCE
Artiges, E.; Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 Trajectoires développementales & psychiatrie, University Paris-Saclay, CNRS, Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, and Psychiatry Department, EPS Barthélémy Durand, Etampes, FRANCE
Nees, F.; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, GERMANY
Orfanos, D.; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Paus, T.; Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, CANADA; Department of Psychiatry, University of Toronto, Toronto, Ontario, CANADA; Department of Psychology, University of Toronto, Toronto, Ontario, 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
Millenet, 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
Vaidya, N.; Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, GERMANY
Walter, Henrik; Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, GERMANY
Whelan, R.; School of Psychology and Global Brain Health Institute, Trinity College Dublin, IRELAND
Schumann, G.; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, UK; Centre for Population Neuroscience and Precision Medicine, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai, CHINA; PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin and Leibniz Institute for Neurobiology, Magdeburg, GERMANY, and Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P.R. CHINA
Garavan, H.; Department of Psychiatry, University of Vermont, Burlington, USA; Department of Psychology, University of Vermont, Burlington, USA
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| Quelle/Jahr | JAMA Psychiatry: 80 (2023), 11, 1131 - 1141 |
| ISSN | 2168-622X (print) ; 2168-6238 (online) |
| DOI | |
| URL | |
| Verlag | Chicago, Ill.: AMA |
| Zusammenfassung | Importance Alcohol misuse in adolescence is a leading cause of disability and mortality in youth and is associated with higher risk for alcohol use disorder. Brain mechanisms underlying risk of alcohol misuse may inform prevention and intervention efforts. Objective To identify neuromarkers of alcohol misuse using a data-driven approach, with specific consideration of neurodevelopmental sex differences. Design, Setting, and Participants Longitudinal multisite functional magnetic resonance imaging (fMRI) data collected at ages 14 and 19 years were used to assess whole-brain patterns of functional organization associated with current and future alcohol use risk as measured by the Alcohol Use Disorder Identification Test (AUDIT). Primary data were collected by the IMAGEN consortium, a European multisite study of adolescent neurodevelopment. Model generalizability was further tested using data acquired in a single-site study of college alcohol consumption conducted in the US. The primary sample was a developmental cohort of 1359 adolescents with neuroimaging, phenotyping, and alcohol use data. Model generalizability was further assessed in a separate cohort of 114 individuals. Main Outcomes and Measures Brain-behavior model accuracy, as defined by the correspondence between model-predicted and actual AUDIT scores in held-out testing data, Bonferroni corrected across the number of models run at each time point, 2-tailed α < .008, as determined via permutation testing. Results Among 1359 individuals in the study, the mean (SD) age was 14.42 (0.40) years, and 729 individuals (54%) were female. The data-driven, whole-brain connectivity approach identified networks associated with vulnerability for future and current AUDIT-defined alcohol use risk (primary outcome, as specified above, future: ρ, 0.22; P < .001 and present: ρ, 0.27; P < .001). Results further indicated sex divergence in the accuracies of brain-behavior models, such that female-only models consistently outperformed male-only models. Specifically, female-only models identified networks conferring vulnerability for future and current severity using data acquired during both reward and inhibitory fMRI tasks. In contrast, male-only models were successful in accurately identifying networks using data acquired during the inhibitory control—but not reward—task, indicating domain specificity of alcohol use risk networks in male adolescents only. Conclusions and Relevance These data suggest that interventions focusing on inhibitory control processes may be effective in combating alcohol use risk in male adolescents but that both inhibitory and reward-related processes are likely of relevance to alcohol use behaviors in female adolescents. They further identify novel networks of alcohol use risk in youth, which may be used to identify adolescents who are at risk and inform intervention efforts. |
| Themenbereich der Metrologie | Metrologie in der Medizin |
Zitierung
Yip, S., Lichenstein, S., Liang, Q., Chaarani, B., Dager, A., Pearlson, G., Banaschewski, T., Bokde, A., Desrivières, S., Flor, H., Grigis, A., Gowland, P., Heinz, A., Brühl, R., Martinot, J., Martinot, M., Artiges, E., Nees, F., Orfanos, D., Paus, T., Poustka, L., Hohmann, S., Millenet, S., Fröhner, J., Smolka, M., Vaidya, N., Walter, H., Whelan, R., Schumann, G., & Garavan, H. (2023). Brain networks and adolescent alcohol use. JAMA Psychiatry, 80(11), 1131–1141. https://doi.org/10.1001/jamapsychiatry.2023.2949