中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Central Amygdala-Substantia Innominata Neural Circuitry Encodes Aversive Reinforcement Signals

文献类型:期刊论文

作者Jin, Sen3,4; Peng, Jie1,2; Yuan, Jing1,2; He, Xiaobin3,4; Gong, Hui1,2; Xu, Fuqiang1,2,3,4; Xu, Tonghui1,2; Li, Haohong1,2; Cui, Yuting1,2; Lv, Guanghui1,2
刊名CELL REPORTS
出版日期2017-11-14
卷号21期号:7页码:1770-1782
DOI10.1016/j.celrep.2017.10.062
文献子类Article
英文摘要Aversive stimuli can impact motivation and support associative learning as reinforcers. However, the neural circuitry underlying the processing of aversive reinforcers has not been elucidated. Here, we report that a subpopulation of central amygdala (CeA) GABAergic neurons expressing protein kinase C-delta (PKC-delta+) displays robust responses to aversive stimuli during negative reinforcement learning. Importantly, projections from PKC-delta+ neurons of the CeA to the substantia innominata (SI) could bi-directionally modulate negative reinforcement learning. Moreover, consistent with the idea that SI-projecting PKC-delta+ neurons of the CeA encode aversive information, optogenetic activation of this pathway produces conditioned place aversion, a behavior prevented by simultaneous ablating of SI glutamatergic neurons. Taken together, our data define a cell-type-specific neural circuitry modulating associative learning by encoding aversive reinforcement signals.
WOS关键词BASAL FOREBRAIN ; CONDITIONED FEAR ; INHIBITORY CIRCUITS ; RABIES VIRUS ; PASSIVE FEAR ; NEURONS ; PROJECTIONS ; PREDICTION ; BEHAVIORS ; NUCLEUS
WOS研究方向Cell Biology
语种英语
WOS记录号WOS:000415073200007
资助机构National Key Research and Development Program of China-Stem Cell and Translational Research(2016YFA0102500) ; National Key Research and Development Program of China-Stem Cell and Translational Research(2016YFA0102500) ; National Natural Science Foundation of China(91432107 ; National Natural Science Foundation of China(91432107 ; Science Fund for Creative Research Group of China(61421064) ; Science Fund for Creative Research Group of China(61421064) ; Director Fund of the Wuhan National Laboratory for Optoelectronics ; Director Fund of the Wuhan National Laboratory for Optoelectronics ; 31671105) ; 31671105) ; National Key Research and Development Program of China-Stem Cell and Translational Research(2016YFA0102500) ; National Key Research and Development Program of China-Stem Cell and Translational Research(2016YFA0102500) ; National Natural Science Foundation of China(91432107 ; National Natural Science Foundation of China(91432107 ; Science Fund for Creative Research Group of China(61421064) ; Science Fund for Creative Research Group of China(61421064) ; Director Fund of the Wuhan National Laboratory for Optoelectronics ; Director Fund of the Wuhan National Laboratory for Optoelectronics ; 31671105) ; 31671105)
源URL[http://ir.wipm.ac.cn/handle/112942/11593]  
专题武汉物理与数学研究所_磁共振应用研究部
作者单位1.Huazhong Univ Sci & Technol, Sch Engn Sci, MoE Key Lab Biomed Photon, Collaborat Innovat Ctr Biomed Engn, Wuhan 430074, Hubei, Peoples R China
2.Huazhong Univ Sci & Technol, Wuhan Natl Lab Optoelect, Britton Chance Ctr Biomed Photon, Wuhan 430074, Hubei, Peoples R China
3.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Wuhan Inst Phys & Math, Ctr Brain Sci,Key Lab Magnet Resonance Biol Syst, Wuhan, Hubei, Peoples R China
4.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Wuhan Inst Phys & Math, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Jin, Sen,Peng, Jie,Yuan, Jing,et al. A Central Amygdala-Substantia Innominata Neural Circuitry Encodes Aversive Reinforcement Signals[J]. CELL REPORTS,2017,21(7):1770-1782.
APA Jin, Sen.,Peng, Jie.,Yuan, Jing.,He, Xiaobin.,Gong, Hui.,...&Lv, Guanghui.(2017).A Central Amygdala-Substantia Innominata Neural Circuitry Encodes Aversive Reinforcement Signals.CELL REPORTS,21(7),1770-1782.
MLA Jin, Sen,et al."A Central Amygdala-Substantia Innominata Neural Circuitry Encodes Aversive Reinforcement Signals".CELL REPORTS 21.7(2017):1770-1782.

入库方式: OAI收割

来源:武汉物理与数学研究所

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