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Intracranial Electrical Control of Cognitive Preferences

认知偏好的颅内电控制

基本信息

批准号：
8583586
负责人：
PAUL W GLIMCHER
金额：
$ 22.87万
依托单位：
NEW YORK UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-07-01 至 2015-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8583586
关键词：
Addictive Behavior Address Affect Animals Area Basic Science Behavior Behavioral Brain Catheters Cell Nucleus Clinical Cocaine Computer Simulation Data Deep Brain Stimulation Disease Dopamine Dopamine Antagonists Dopamine D1 Receptor Dopamine D2 Receptor Dose Drug Addiction Drug Delivery Systems Electric Stimulation Equation Foundations Future Goals Human Implanted Electrodes Injection of therapeutic agent Intervention Lateral Laws Learning Link Mediating Mental disorders Methods Midbrain structure Modeling Monkeys Neurons Neurosurgeon Paper Patients Pattern Pharmaceutical Preparations Primates Process Psychological reinforcement Relative (related person)Rest Rewards Rodent Role Series Specific qualifier value Study Section System Technology Testing Time Water Work addiction base case finding cognitive control combat computational neuroscience design dopaminergic neuron drug of abuse high risk insight nonhuman primate preference public health relevance research study stem success theories therapy design treatment strategy

项目摘要

DESCRIPTION (provided by applicant): Existing computational models of dopamine's role in reinforcement learning are now quite well developed. These models make specific predictions about how changes in the firing rates of midbrain dopamine neurons should change the values subjects place on actions. While previous single neuron recording studies have largely validated these computational models, there have been very few efforts to use direct electrical manipulations of these neurons to examine these theories. This is of particular relevance because electrical manipulations of deep brain nuclei are now being used to treat a number of psychiatric disorders - including drug addiction. In this proposal, we describe a series of experiments aimed at testing the hypothesis that if the firing rates of midbrain dopamine neurons are manipulated with sub-second precision in a manner specified by existing computational theories, this may profoundly regulate behavioral preferences in a highly precise way. If this is the case, this finding would suggest a series of translationally-relevant experiments on the effects of deep brain stimulation on drug addiction. The current proposal seeks to lay the theoretical and experimental foundations for such experiments in the future.

描述（由申请人提供）：多巴胺在强化学习中的作用的现有计算模型现在发展得相当好。这些模型对中脑多巴胺神经元放电率的变化如何改变受试者对行动的价值做出了具体的预测。虽然以前的单神经元记录研究在很大程度上验证了这些计算模型，但很少有人尝试使用这些神经元的直接电操作来检验这些理论。这是特别相关的，因为电操纵脑深部核现在被用来治疗一些精神疾病-包括药物成瘾。在这个提议中，我们描述了一系列旨在测试假设的实验，即如果中脑多巴胺神经元的放电率以现有计算理论指定的方式以亚秒级精度进行操作，这可能会以高度精确的方式深刻地调节行为偏好。如果是这样的话，这一发现将表明一系列关于深部脑刺激对药物成瘾影响的实验。目前的建议旨在为未来的此类实验奠定理论和实验基础。