Reward Functioning Abnormalities in Adolescents at High Familial Risk for Depressive Disorders

被引:17
作者
Belleau, Emily L. [1 ,2 ]
Kremens, Rebecca [1 ,2 ]
Ang, Yuen-Siang [1 ,2 ]
Pisoni, Angela [3 ]
Bondy, Erin [4 ]
Durham, Katherine [5 ]
Auerbach, Randy P. [5 ,6 ]
Pizzagalli, Diego A. [1 ,2 ]
机构
[1] McLean Hosp, Ctr Depress Anxiety & Stress Res, 115 Mill St, Belmont, MA 02178 USA
[2] Harvard Med Sch, Dept Psychiat, Boston, MA 02115 USA
[3] Duke Univ, Dept Psychol & Neurosci, Durham, NC USA
[4] Washington Univ, Dept Psychol & Brain Sci, St Louis, MO 63110 USA
[5] Columbia Univ, Dept Psychiat, New York, NY USA
[6] Sackler Inst, Div Clin Dev Neurosci, New York, NY USA
关键词
LOW-FREQUENCY FLUCTUATIONS; BLUNTED NEURAL RESPONSE; RESTING-STATE FMRI; PROSPECTIVELY PREDICTS; FRACTIONAL AMPLITUDE; DECISION-MAKING; AGE-DIFFERENCES; BRAIN ACTIVITY; BASAL GANGLIA; YOUNG-PEOPLE;
D O I
10.1016/j.bpsc.2020.08.016
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BACKGROUND: A parental history of major depressive disorder (MDD) is an established risk factor for MDD in youth, and clarifying the mechanisms related to familial risk transmission is critical. Aberrant reward processing is a promising biomarker of MDD risk; accordingly, the aim of this study was to test behavioral measures of reward responsiveness and underlying frontostriatal resting activity in healthy adolescents both with (high-risk) and without (low-risk) a maternal history of MDD. METHODS: Low-risk and high-risk 12-to 14-year-old adolescents completed a probabilistic reward task (n = 74 low risk, n = 27 high-risk) and a resting-state functional magnetic resonance imaging scan (n = 61 low-risk, n = 25 high risk). Group differences in response bias toward reward and resting ventral striatal and medial prefrontal cortex (mPFC) fractional amplitude of low-frequency fluctuations (fALFFs) were examined. Computational modeling was applied to dissociate reward sensitivity from learning rate. RESULTS: High-risk adolescents showed a blunted response bias compared with low-risk adolescents. Computational modeling analyses revealed that relative to low-risk adolescents, high-risk adolescents exhibited reduced reward sensitivity but similar learning rate. Although there were no group differences in ventral striatal and mPFC fALFFs, groups differed in their relationships between mPFC fALFFs and response bias. Specifically, among high-risk adolescents, higher mPFC fALFFs correlated with a blunted response bias, whereas there was no fALFFs-response bias relationship among low-risk youths. CONCLUSIONS: High-risk adolescents exhibit reward functioning impairments, which are associated with mPFC fALFFs. The blunted response bias-mPFC fALFFs association may reflect an excessive mPFC-mediated suppression of reward-driven behavior, which may potentiate MDD risk.
引用
收藏
页码:270 / 279
页数:10
相关论文
共 76 条
[11]  
First MB., 2002, STRUCTURED CLIN INTE
[12]   Altered Striatal Activation Predicting Real-World Positive Affect in Adolescent Major Depressive Disorder [J].
Forbes, Erika E. ;
Hariri, Ahmad R. ;
Martin, Samantha L. ;
Silk, Jennifer S. ;
Moyles, Donna L. ;
Fisher, Patrick M. ;
Brown, Sarah M. ;
Ryan, Neal D. ;
Birmaher, Boris ;
Axelson, David A. ;
Dahl, Ronald E. .
AMERICAN JOURNAL OF PSYCHIATRY, 2009, 166 (01) :64-73
[13]   Brain alterations in low-frequency fluctuations across multiple bands in obsessive compulsive disorder [J].
Gimenez, Monica ;
Guinea-Izquierdo, Andres ;
Villalta-Gil, Victoria ;
Martinez-Zalacain, Ignacio ;
Segalas, Cinto ;
Subira, Marta ;
Real, Eva ;
Pujol, Jesus ;
Harrison, Ben J. ;
Maria Haro, Josep ;
Sato, Joao R. ;
Hoexter, Marcelo Q. ;
Cardoner, Narcis ;
Alonso, Pino ;
Manuel Menchon, Jose ;
Soriano-Mas, Carles .
BRAIN IMAGING AND BEHAVIOR, 2017, 11 (06) :1690-1706
[14]   Altered fractional amplitude of low frequency fluctuation associated with cognitive dysfunction in first-episode drug-naive major depressive disorder patients [J].
Huang, Manli ;
Lu, Shaojia ;
Yu, Liang ;
Li, Lingjiang ;
Zhang, Peng ;
Hu, Jianbo ;
Zhou, Weihua ;
Hu, Shaohua ;
Wei, Ning ;
Huang, Jinwen ;
Weng, Jian ;
Xu, Yi .
BMC PSYCHIATRY, 2017, 17
[15]   Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis [J].
Huys, Quentin J. M. ;
Pizzagalli, Diego A. ;
Bogdan, Ryan ;
Dayan, Peter .
BIOLOGY OF MOOD & ANXIETY DISORDERS, 2013, 3 (01)
[16]   Alteration of cortico-limbic-striatal neural system in major depressive disorder and bipolar disorder [J].
Jiang, Xiaowei ;
Dai, Xu ;
Edmiston, Elliot Kale ;
Zhou, Qian ;
Xu, Ke ;
Zhou, Yifang ;
Wu, Feng ;
Kong, Lingtao ;
Wei, Shengnan ;
Zhou, Yuning ;
Chang, Miao ;
Geng, Haiyang ;
Wang, Dahai ;
Wang, Ye ;
Cui, Wenhui ;
Wang, Fei ;
Tang, Yanqing .
JOURNAL OF AFFECTIVE DISORDERS, 2017, 221 :297-303
[17]   Increased Activity Imbalance in Fronto-Subcortical Circuits in Adolescents with Major Depression [J].
Jiao, Qing ;
Ding, Jun ;
Lu, Guangming ;
Su, Linyan ;
Zhang, Zhiqiang ;
Wang, Zhengge ;
Zhong, Yuan ;
Li, Kai ;
Ding, Mingzhou ;
Liu, Yijun .
PLOS ONE, 2011, 6 (09)
[18]   Difference in amplitude of low-frequency fluctuation between currently depressed and remitted females with major depressive disorder [J].
Jing, Bin ;
Liu, Chun-Hong ;
Ma, Xin ;
Yan, Hua-Gang ;
Zhuo, Zhi-Zheng ;
Zhang, Yu ;
Wang, Su-Hong ;
Li, Hai-Yun ;
Wang, Chuan-Yue .
BRAIN RESEARCH, 2013, 1540 :74-83
[19]   Frontostriatal and Dopamine Markers of Individual Differences in Reinforcement Learning: A Multi-modal Investigation [J].
Kaiser, Roselinde H. ;
Treadway, Michael T. ;
Wooten, Dustin W. ;
Kumar, Poornima ;
Goer, Franziska ;
Murray, Laura ;
Beltzer, Miranda ;
Pechtel, Pia ;
Whitton, Alexis ;
Cohen, Andrew L. ;
Alpert, Nathaniel M. ;
El Fakhri, Georges ;
Normandin, Marc D. ;
Pizzagalli, Diego A. .
CEREBRAL CORTEX, 2018, 28 (12) :4281-4290
[20]   Large-Scale Network Dysfunction in Major Depressive Disorder A Meta-analysis of Resting-State Functional Connectivity [J].
Kaiser, Roselinde H. ;
Andrews-Hanna, Jessica R. ;
Wager, Tor D. ;
Pizzagalli, Diego A. .
JAMA PSYCHIATRY, 2015, 72 (06) :603-611