REPRESENTATION OF TEMPORAL INFORMATION

时间信息的表示

• 批准号: 7418422
• 负责人: CATALIN V. BUHUSI
• 金额: $ 19.14万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-15 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7418422
• 关键词: Address; Animal Model; Behavior; Behavior Control; Behavioral; Behavioral Model; Biological Neural Networks; Code; Cognitive; Computer Simulation; Corpus striatum structure; Data; Decision Making; Disease; Disruption; Dorsal; Electrodes; Electrophysiology (science); Elements; Hippocampus (Brain); Huntington Disease; Image; Infusion procedures; Modeling; Operative Surgical Procedures; Parkinson Disease; Patients; Pattern; Process; Range; Rate; Rattus; Reproduction; Research; Research Personnel; Role; Schizophrenia; Signal Transduction; Site; Substantia nigra structure; Tetrodotoxin; Time; behavior measurement; classical conditioning; frontal lobe; relating to nervous system; research study; time interval; time use

DESCRIPTION (provided by applicant): Fundamental processes such as associative learning, rate calculation and decision making crucially rely on estimation and reproduction of time intervals. These processes are disrupted in Parkinson's disease, Huntington's disease, and Schizophrenia. This project will further our understanding of the disruptions of cognitive processes in these disorders by investigating neural activity in the neural substrates showed by imaging studies to be dysregulated in these disorders. The major objective of this proposal is to study the neural representation of temporal information in the seconds-to-minutes range using a multi-level approach involving electrophysiology, behavior, and computational modeling. The neural representation of temporal information will be investigated by multi-site, multi-electrode neural recordings; the behavioral representation of time will be examined in freely behaving rats performing interval timing tasks; the computational elements and operations required to perform these behavioral tasks will be investigated by computer modeling. First, at the electrophysiology level, the investigator will examine the neural representation of temporal information by multi-site, ensemble recordings in a network of substrates including striatum, frontal cortex, substantia nigra, and the hippocampus in freely behaving normal rats as well as in rats in which some of these substrates are temporarily inactivated. Notably, from the couple of electrophysiological studies currently addressing the substrates of interval timing, one was performed by our research group. Second, rats' behavior will be examined while performing two behavioral tasks (involving time estimation and reproduction) in which Parkinson, Huntington, and Schizophrenic patients are known to be impaired. Third, at the computational level the investigator will study a biologically plausible model of interval timing and will compare the predictions of the model with data collected in the behavioral studies. The project will help elucidate the behavioral and neural coding of time, and our understanding of the role of specific neural substrates in disorders like Parkinson, Huntington, and Schizophrenia. The results of the project can be used to devise behavioral measures for the early assessment of such disorders, and to understand the cognitive processes disrupted when these substrates are dysfunctional. This information is crucial to assessing the value/efficiency of potential treatment strategies in animal models of such disorders.

描述（由申请人提供）：基本过程，如联想学习，速率计算和决策制定关键依赖于时间间隔的估计和再现。这些过程在帕金森氏病、亨廷顿氏病和精神分裂症中被破坏。该项目将通过研究成像研究显示在这些疾病中失调的神经基质中的神经活动，进一步了解这些疾病中认知过程的中断。这项建议的主要目标是研究神经表征的时间信息在秒到分钟的范围内使用多层次的方法，涉及电生理学，行为和计算建模。将通过多部位、多电极神经记录研究时间信息的神经表征;将在执行间隔计时任务的自由行为大鼠中检查时间的行为表征;将通过计算机建模研究执行这些行为任务所需的计算元素和操作。首先，在电生理学水平，研究人员将检查的时间信息的神经表征的多站点，合奏记录在网络的基板，包括纹状体，额叶皮层，黑质，海马在自由行为的正常大鼠以及在大鼠，其中一些这些基板暂时失活。值得注意的是，从目前针对间隔计时底物的电生理学研究中，我们的研究小组进行了一项研究。第二，将在执行两个行为任务（涉及时间估计和生殖）时检查大鼠的行为，其中帕金森、亨廷顿和精神分裂症患者已知受损。第三，在计算水平上，研究者将研究间隔时间的生物学合理模型，并将模型的预测与行为研究中收集的数据进行比较。该项目将有助于阐明时间的行为和神经编码，以及我们对特定神经基质在帕金森，亨廷顿和精神分裂症等疾病中的作用的理解。该项目的结果可用于设计行为措施，以早期评估此类疾病，并了解这些基质功能失调时中断的认知过程。这些信息对于评估此类疾病动物模型中潜在治疗策略的价值/效率至关重要。