Brain signatures during reward anticipation predict persistent attention-deficit/hyperactivity disorder symptoms

Chen, Di; Jia, Tianye; Cheng, Wei; Cao, Miao; Banaschewski, Tobias; Barker, Gareth J.; Bokde, Arun L. W.; Bromberg, Uli; Büchel, Christian; Desrivières, Sylvane; Flor, Herta; Grigis, Antoine; Garavan, Hugh; Gowland, Penny A.; Heinz, Andreas; Ittermann, Bernd; Martinot, Jean-Luc; Paillère Martinot, Marie-Laure; Nees, Frauke; Papadopoulos Orfanos, Dimitri; Paus, Tomáš; Poustka, Luise; Fröhner, Juliane H.; Smolka, Michael N.; Walter, Henrik; Whelan, Robert; Robbins, T. W.; Sahakian, Barbara J.; Schumann, Gunter; Feng, Jianfeng

doi:https://doi.org/10.1016/j.jaac.2021.11.030

Zugriffsnummer	48775
Dokumenttyp	Zeitschriftenartikel
Peer Review	mit Peer Review
Sprache	Englisch
Titel	Brain signatures during reward anticipation predict persistent attention-deficit/hyperactivity disorder symptoms
Autor(in); Institution	Chen, Di; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, CHINA Jia, Tianye; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, CHINA; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK Cheng, Wei; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, CHINA Cao, Miao; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, CHINA Banaschewski, Tobias; Heidelberg University, Mannheim, GERMANY Barker, Gareth J.; Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK Bokde, Arun L. W.; Trinity College Dublin, IRELAND Bromberg, Uli; University Medical Centre Hamburg-Eppendorf, Hamburg, GERMANY Büchel, Christian; University Medical Centre Hamburg-Eppendorf, Hamburg, GERMANY Desrivières, Sylvane; nstitute of Psychiatry, Psychology and Neuroscience, King’s College London, UK Flor, Herta; Heidelberg University, Mannheim, GERMANY; University of Mannheim, Mannheim, GERMANY Grigis, Antoine; Université Paris-Saclay, FRANCE Garavan, Hugh; University of Vermont, Burlington, USA Gowland, Penny A.; University of Nottingham, University Park, UK Heinz, Andreas; Charité - Universitätsmedizin Berlin, GERMANY Ittermann, Bernd; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin Martinot, Jean-Luc; Institut National de la Santé et de la Recherche Médicale (INSERM) and the Université Paris-Saclay, Gif-sur-Yvette, FRANCE Paillère Martinot, Marie-Laure; Institut National de la Santé et de la Recherche Médicale (INSERM) and the Université Paris-Saclay, Gif-sur-Yvette, FRANCE; Sorbonne Université, Paris, FRANCE Nees, Frauke; Heidelberg University, Mannheim, GERMANY; University Medical Centre Schleswig-Holstein, Kiel University, Kiel, GERMANY Papadopoulos Orfanos, Dimitri; Université Paris-Saclay, FRANCE Paus, Tomáš; Centre Hospitalier Universitaire Sainte -Justine, University of Montreal, Quebec, CANADA Poustka, Luise; University Medical Centre Göttingen, Göttingen, GERMANY Fröhner, Juliane H.; Technische Universität Dresden, GERMANY Smolka, Michael N.; Technische Universität Dresden, GERMANY Walter, Henrik; Charité - Universitätsmedizin Berlin, GERMANY Whelan, Robert; Trinity College Dublin, IRELAND Robbins, T. W.; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; University of Cambridge, UK Sahakian, Barbara J.; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; University of Cambridge, UK Schumann, Gunter; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; Charité - Universitätsmedizin Berlin, GERMANY Feng, Jianfeng; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, CHINA; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, CHINA; University of Warwick, Coventry, UK
Quelle/Jahr	Journal of the American Academy of Child and Adolescent Psychiatry: 61 (2022), 8, 1050 - 1061
ISSN	0890-8567 (PRINT) ; 1527-5418 (ONLINE)
DOI	https://doi.org/10.1016/j.jaac.2021.11.030
Verlag	Amsterdam: Elsevier
Freie Schlagworte	attention-deficit/hyperactivity disorder ; functional magnetic resonance imaging ; polygenic risk score ; strengths and difficulties questionnaire ; monetary incentive delay
Zusammenfassung	Objective Children experiencing attention-deficit/hyperactivity disorder (ADHD) symptoms may retain symptoms into adulthood, but little is known about the underlying mechanism. Method To identify biomarkers of persistent ADHD symptom development, we carried out whole-brain analyses of neuroimaging data during the anticipation phase of the Monetary-Incentive-Delay (MID) task in 1,368 adolescents recruited by the IMAGEN Consortium at age 14 years, whose behavioral measurements were followed up longitudinally at age 16. In particular, we focused on comparing individuals with persistent high ADHD symptoms at both ages 14 and 16 years to unaffected control individuals, but also exploring which individuals demonstrating symptom remission (with high ADHD symptoms at age 14 but much reduced at age 16). Results We identified reduced activations in the medial frontal cortex and the thalamus during reward anticipation as neuro-biomarkers for persistent ADHD symptoms across time. The genetic relevance of the above findings was further supported by the associations of the polygenic risk scores of ADHD with both the persistent and control status and the activations of both brain regions. Furthermore, in an exploratory analysis, the thalamic activation might also help to distinguish persons with persistent ADHD from those remitted in both an exploratory sample (odds ratio = 9.43, p < .001) and an independent generalization sample (odds ratio = 4.64, p = .003). Conclusion Using a well-established and widely applied functional magnetic resonance imaging task, we have identified neural biomarkers that could discriminate ADHD symptoms that persist throughout adolescence from controls and potentially those likely to remit during adolescent development as well.

Themenbereich der Metrologie

Metrologie in der Medizin

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Chen, D., Jia, T., Cheng, W., Cao, M., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P. A., Heinz, A., Ittermann, B., Martinot, J.-L., Paillère Martinot, M.-L., Nees, F., Papadopoulos Orfanos, D., Paus, T., Poustka, L., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Robbins, T. W., Sahakian, B. J., Schumann, G., & Feng, J. (2022). Brain signatures during reward anticipation predict persistent attention-deficit/hyperactivity disorder symptoms. Journal of the American Academy of Child and Adolescent Psychiatry, 61(8), 1050–1061. https://doi.org/10.1016/j.jaac.2021.11.030

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