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Neural basis of reward anticipation and its genetic determinants

Research output: Contribution to journalArticle

Tianye Jia, Christine Macare, Sylvane Desrivières, Dante A Gonzalez, Chenyang Tao, Xiaoxi Ji, Barbara Ruggeri, Frauke Nees, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Uli Bromberg, Christian Büchel, Patricia J Conrod, Rachel Dove, Vincent Frouin, Jürgen Gallinat, Hugh Garavan, Penny A Gowland, Andreas Heinz & 16 more Bernd Ittermann, Mark Lathrop, Hervé Lemaitre, Jean-Luc Martinot, Tomáš Paus, Zdenka Pausova, Jean-Baptiste Poline, Marcella Rietschel, Trevor Robbins, Michael N Smolka, Christian P Müller, Jianfeng Feng, Adrian Rothenfluh, Herta Flor, Gunter Schumann, IMAGEN Consortium

Original languageEnglish
JournalProceedings of the National Academy of Sciences of the United States of America
Early online date21 Mar 2016
Publication statusE-pub ahead of print - 21 Mar 2016


  • Jia et al PNAS (Final 20 Jan Ethic)

    Jia_et_al_PNAS_Final_20_Jan_Ethic_.docx, 89 KB, application/vnd.openxmlformats-officedocument.wordprocessingml.document


    Accepted author manuscript


King's Authors


Dysfunctional reward processing is implicated in various mental disorders, including attention deficit hyperactivity disorder (ADHD) and addictions. Such impairments might involve different components of the reward process, including brain activity during reward anticipation. We examined brain nodes engaged by reward anticipation in 1,544 adolescents and identified a network containing a core striatal node and cortical nodes facilitating outcome prediction and response preparation. Distinct nodes and functional connections were preferentially associated with either adolescent hyperactivity or alcohol consumption, thus conveying specificity of reward processing to clinically relevant behavior. We observed associations between the striatal node, hyperactivity, and the vacuolar protein sorting-associated protein 4A (VPS4A) gene in humans, and the causal role of Vps4 for hyperactivity was validated in Drosophila. Our data provide a neurobehavioral model explaining the heterogeneity of reward-related behaviors and generate a hypothesis accounting for their enduring nature.

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