Top-down regulation of compulsive reward-seeking behavior by medial prefrontal cortex

内侧前额叶皮层对强迫性寻求奖励行为的自上而下调节

基本信息

  • 批准号:
    9123317
  • 负责人:
  • 金额:
    $ 3.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-04-01 至 2018-03-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): While the drive to seek reward is a fundamental trait shared across many species, when left unchecked it can lead to addiction and substance abuse. A potential therapeutic approach to treating addiction could be to reset the balance between the neural circuits that drive and suppress reward-seeking. To achieve such an approach, we must characterize the specific neural state changes that occur with compulsive reward-seeking, and identify the neural pathways that can reverse this behavior. This proposal aims to use 2photon imaging to reveal the neural activity patterns in the nucleus accumbens (NAc) during a type of compulsive reward-seeking behavior, optogenetic self-stimulation of the ventral tegmental area dopamine neurons. This will reveal the changes in neural dynamics that emerge with repeated, compulsive reward-seeking which underlies addiction. In addition, this proposal will test whether medial prefrontal cortex (mPFC) stimulation is able to exert regulatory action to reduce compulsive reward-seeking by altering the neural activity patterns that are observed in NAc. Finally, this proposal aims to identify which specific mPFC projection neurons drive suppression of reward-seeking behaviors using cell type-specific rabies GCaMP6 and fiber photometry imaging. The findings from this proposed project will provide a novel insight into how NAc circuit dynamics become altered during addiction, and how these changes may be counteracted by top-down executive control from the mPFC.


项目成果

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Christina Kim其他文献

Christina Kim的其他文献

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{{ truncateString('Christina Kim', 18)}}的其他基金

Activity-dependent probes for spatially-defined proteomics
用于空间定义的蛋白质组学的活性依赖性探针
  • 批准号:
    10686705
  • 财政年份:
    2023
  • 资助金额:
    $ 3.47万
  • 项目类别:

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