期刊论文详细信息
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS 卷:128
Transdiagnostic neuroimaging of reward system phenotypes in ADHD and comorbid disorders
Review
Grimm, Oliver1  van Rooij, Daan2  Hoogman, Martine2  Klein, Marieke2,3,4  Buitelaar, Jan2  Franke, Barbara2  Reif, Andreas1  Plichta, Michael M.1 
[1] Goethe Univ, Univ Hosp, Dept Psychiat Psychosomat Med & Psychotherapy, Frankfurt, Germany
[2] Univ Med Ctr Nijmegen, CNS Dept, Donders Ctr Cognit Neuroimaging, Nijmegen, Netherlands
[3] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Med Ctr, Dept Human Genet, Nijmegen, Netherlands
[4] Univ Calif San Diego, Dept Psychiat, La Jolla, CA 92093 USA
关键词: ADHD;    Reward system;    Functional magnetic resonance imaging;    Depression;    Substance use disorder;    Obesity;    Transdiagnostic neuroimaging;   
DOI  :  10.1016/j.neubiorev.2021.06.025
来源: Elsevier
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【 摘 要 】

ADHD is a disorder characterized by changes in the reward system and which is highly comorbid with other mental disorders, suggesting common neurobiological pathways. Transdiagnostic neuroimaging findings could help to understand whether a dysregulated reward pathway might be the actual link between ADHD and its comorbidities. We here synthesize ADHD neuroimaging findings on the reward system with findings in obesity, depression, and substance use disorder including their comorbid appearance regarding neuroanatomical features (structural MRI) and activation patterns (resting-state and functional MRI). We focus on findings from monetary-incentive-delay (MID) and delay-discounting (DD) tasks and then review data on striatal connectivity and volumetry. Next, for better understanding of comorbidity in adult ADHD, we discuss these neuroimaging features in ADHD, obesity, depression and substance use disorder and ask whether ADHD heterogeneity and comorbidity are reflected by a common dysregulation in the reward system. Finally, we highlight conceptual issues related to heterogeneous paradigms, different phenotyping, longitudinal prediction and highlight some promising future directions for using striatal reward functioning as a clinical biomarker.

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