Chemical Reward Systems for Embodied Cultured Networks

体现培养网络的化学奖励系统

• 批准号: 6911547
• 负责人: Steve M Potter
• 金额: $ 14.69万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2008-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6911547
• 关键词: behavioral /social science research tag; charge coupled device camera; dopamine; dopamine receptor; drug addiction; laboratory mouse; learning; memory; neural plasticity; neuropsychology; neuroregulation; perfusion; reinforcer; tegmentum; tissue /cell culture; video microscopy

DESCRIPTION (provided by applicant): Addictive substances take control of the brain's natural learning mechanisms, by activating reward mechanisms that reinforce behaviors associated with drug taking. But how much is known about these mechanisms at the levels of behavior, of brain systems, and of cellular pharmacology. However, there is a large gap in our understanding of the dynamic relationships between cellular plasticity and behavior. We will explore reward-related neural plasticity at the microscopic and mesoscopic scale using neuronal networks cultured on multi-electrode arrays with tong-term stimulation and recording. Reward-related neuromodulators will be applied to the networks to study their influence on physiological and morphological plasticity, in the context of the Neurally-Controlled Animal paradigm, in which network activity controls the behavior of a simulated animal. Time-lapse imaging, using both 2-photon and wide-field videomicroscopy, will allow us to observe in detail cellular and network-level morphological dynamics related to learning, memory, and addiction. By creating an in-vitro reward system, we can observe and manipulate reward related plasticity in much greater detail than possible in animals or people. By embodying the cultured networks, we can bring in-vitro studies of neural plasticity to the behavioral level, and enhance their relevance to addiction mechanisms in vivo.

描述（由申请人提供）： 成瘾性物质通过激活加强与药物服用相关的行为的奖励机制来控制大脑的自然学习机制。但是，在行为，大脑系统和细胞药理学水平上的这些机制有多少了解。但是，我们对细胞塑性和行为之间动态关系的理解存在很大的差距。我们将使用在具有TONG-ERM刺激和记录的多电极阵列上培养的神经元网络，在显微镜和介绍量表上探索与奖励相关的神经可塑性。在神经控制的动物范式的背景下，与奖励相关的神经调节剂将被应用于网络，以研究其对生理和形态可塑性的影响，其中网络活动控制模拟动物的行为。使用2光子和宽场视频显微镜检查的延时成像将使我们能够详细观察与学习，记忆和成瘾有关的蜂窝和网络级形态学动力学。通过创建一个体外奖励系统，我们可以观察和操纵相关的可塑性比动物或人的可能性要大得多。通过体现培养的网络，我们可以将神经可塑性的体外研究提高到行为水平，并增强其与体内成瘾机制的相关性。