Neural basis of reward anticipation and its genetic determinants.
- Authors
- Jia, Tianye; Macare, Christine; Desrivières, Sylvane; Gonzalez, Dante A; Tao, Chenyang; Ji, Xiaoxi; Ruggeri, Barbara; Nees, Frauke; Banaschewski, Tobias; Barker, Gareth J; Bokde, Arun L W; Bromberg, Uli; Büchel, Christian; Conrod, Patricia J; Dove, Rachel; Frouin, Vincent; Gallinat, Jürgen; Garavan, Hugh; Gowland, Penny A; Heinz, Andreas; Ittermann, Bernd; Lathrop, Mark; Lemaitre, Hervé; Martinot, Jean-Luc; Paus, TomÑő; Pausova, Zdenka; Poline, Jean-Baptiste; Rietschel, Marcella; Robbins, Trevor; Smolka, Michael N; Müller, Christian P; Feng, Jianfeng; Rothenfluh, Adrian; Flor, Herta; Schumann, Gunter; IMAGEN Consortium
- Year
- 2016
- Journal
- Proceedings of the National Academy of Sciences of the United States of America
- PMID
- 27001827
- DOI
- 10.1073/pnas.1503252113
- PMCID
- PMC4833244
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.
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
No citations found.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases. | 2021 | 34417470 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| A longitudinal DNA methylation atlas and its link to brain structure and mental health. | Chen D et al. | β | 2026 | β |
| Neurocognitive characterization of behaviour and mental illness through time-varying brain network analysis. | Chang X et al. | β | 2026 | β |
| Bitter Sensing Protects <i>Drosophila</i> from Developing Experience-Dependent Cocaine Consumption Preference. | Philyaw TJ et al. | β | 2025 | β |
| DNAJC13 influences responses of the extended reward system to conditioned stimuli: a genome-wide association study. | Treutlein J et al. | β | 2025 | β |
| Neural network topology in children's deceptive behaviors: The role of cognitive control and reward processing. | Yu L et al. | β | 2025 | β |
| Association of Unc-51-like Kinase 4 (<i>ULK4</i>) with the reactivity of the extended reward system in response to conditioned stimuli. | Treutlein J et al. | β | 2024 | β |
| Harsh parenting, amygdala functional connectivity changes across childhood, and behavioral problems. | Koyama Y et al. | β | 2024 | β |
| How Distributed Subcortical Integration of Reward and Threat May Inform Subsequent Approach-Avoidance Decisions. | Hulsman AM et al. | β | 2024 | β |
| Identification of a Composite Latent Dimension of Reward and Impulsivity Across Clinical, Behavioral, and Neurobiological Domains Among Youth. | Kohler R et al. | β | 2024 | β |
| Screen time, brain network development and socio-emotional competence in childhood: moderation of associations by parent-child reading. | Huang P et al. | β | 2024 | β |
| The effect of reward expectation on working memory of emotional faces under different levels of cognitive load: an ERP study. | Gao T et al. | β | 2024 | β |
| Addressing Global Environmental Challenges to Mental Health Using Population Neuroscience: A Review. | Schumann G et al. | β | 2023 | β |
| The Role of Thermodynamic and Informational Entropy in Improving Real Estate Valuation Methods. | Γzdilek Γ | β | 2023 | β |
| Understanding Anhedonia from a Genomic Perspective. | Bondy E et al. | β | 2022 | β |
| Identification of novel risk loci with shared effects on alcoholism, heroin, and methamphetamine dependence. | Sun Y et al. | β | 2021 | β |
| Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases. | Kapoor M et al. | β | 2021 | β |
| Neural Biomarkers Distinguish Severe From Mild Autism Spectrum Disorder Among High-Functioning Individuals. | Chen D et al. | β | 2021 | β |
| Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse. | Jia T et al. | β | 2021 | β |
| The Brain's Reward System in Health and Disease. | Lewis RG et al. | β | 2021 | β |
| The longitudinal stability of fMRI activation during reward processing in adolescents and young adults. | Baranger DAA et al. | β | 2021 | β |
| Addictions NeuroImaging Assessment (ANIA): Towards an integrative framework for alcohol use disorder. | Voon V et al. | β | 2020 | β |
| Developmental trajectories to reduced activation of positive valence systems: A review of biological and environmental contributions. | Kujawa A et al. | β | 2020 | β |
| Identifying biological markers for improved precision medicine in psychiatry. | Quinlan EB et al. | β | 2020 | β |
| KCNJ6 variants modulate reward-related brain processes and impact executive functions in attention-deficit/hyperactivity disorder. | Ziegler GC et al. | β | 2020 | β |
| Neurobehavioural characterisation and stratification of reinforcement-related behaviour. | Jia T et al. | β | 2020 | β |
| Social jetlag and sleep deprivation are associated with altered activity in the reward-related brain areas: an exploratory resting-state fMRI study. | Nechifor RE et al. | β | 2020 | β |
| The IMAGEN study: a decade of imaging genetics in adolescents. | Mascarell MariΔiΔ L et al. | β | 2020 | β |
| Genetic and Cell Biology Methods to Study ESCRTs in Drosophila melanogaster. | Gualtieri M et al. | β | 2019 | β |
| Mapping adolescent reward anticipation, receipt, and prediction error during the monetary incentive delay task. | Cao Z et al. | β | 2019 | β |
| A Combined Behavioral and Neuroimaging Battery to Test Positive Appraisal Style Theory of Resilience in Longitudinal Studies | Kampa M et al. | β | 2018 | β |
| Lack of anticipatory behavior in Gpr88 knockout mice showed by automatized home cage phenotyping. | Maroteaux G et al. | β | 2018 | β |
| Loss anticipation and outcome during the <i>Monetary Incentive Delay Task</i>: a neuroimaging systematic review and meta-analysis. | DugrΓ© JR et al. | β | 2018 | β |
| Using High-Throughput Animal or Cell-Based Models to Functionally Characterize GWAS Signals. | Dourlen P et al. | β | 2018 | β |
| Brain imaging genetics in ADHD and beyond - Mapping pathways from gene to disorder at different levels of complexity. | Klein M et al. | β | 2017 | β |
| Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. | Tao C et al. | β | 2017 | β |
| Imaging genetics in neurodevelopmental psychopathology. | Klein M et al. | β | 2017 | β |
| The cerebellum in drug craving. | Moreno-Rius J et al. | β | 2017 | β |