Neurophysiology of time production

这项研究将主要在墨西哥国立大学神经生物学研究所进行。 墨西哥与Hugo Bennett-Nancy合作，作为NIH资助#5 R 01-NS 042778的扩展。 间隔计时是一个复杂的过程，它并不专门与任何感觉形态联系在一起， 涉及广泛的行为，从拦截物体和避免碰撞， 音乐表演和演讲。然而，关于这方面的信息明显缺乏。 时间加工的神经生理学基础本提案中概述的工作目标是获得 理解100 - 1000 ms范围内间隔计时的神经基础，更具体地说， 研究皮质丘脑-基底神经节回路（CTBG）在这种行为中的作用。尽管许多 药理学、损伤和成像研究表明CTBG参与了时间加工、神经元和神经元的活动。 间隔定时的机制仍然未知。我们的一般论点是，时间间隔的产生 依赖于一个内部时钟，其神经生理机制是基于分布式处理， 在整个CTBG的信息。为了测试这些想法，恒河猴将接受任务训练， 涉及单个或多个时间间隔的产生。将记录单个细胞的冲动活动 在任务执行过程中，CTBG的两个结构，即补充运动区（SMA）和 用7微电极系统检测壳核。将使用单变量和多变量分析数据 统计学方法将计时行为与单细胞和群体活动相关联。这将使我们能够 阐明CTBG组件在时间信息处理中的作用，破译神经代码， 揭示了间隔计时的机制。

This research will be done primarily in Mexico at the Institute of Neural Biology, National University of Mexico in collaboration with Hugo Merchant-Nancy as an extension of NIH grant # 5R01-NS042778. Interval timing is a complex process that is not link exclusively to any sensory modality and that is involved in a broad spectrum of behaviors, ranging from object interception and collision avoidance to musical performance and speech. However, there is a remarkable lack of information regarding the neurophysiological basis of temporal processing. The goal of the work outlined in this proposal is to gain understanding of the neural basis of interval timing in 100 -1000 ms scale, and more specifically to investigate the role of the corticothalamic-basal ganglia circuit (CTBG) in this behavior. Although many pharmacological, lesion and imaging studies have implicated CTBG in temporal processing, the neural mechanisms of interval timing are still unknown. Our general thesis is that the production of time intervals depends on an internal clock whose neurophysiological mechanism is based on the distributed processing of information throughout the CTBG. In order to test these ideas, Rhesus monkeys will be trained in tasks that involve the production of single or multiple time intervals. The impulse activity of single cells will be recorded during task performance in two structures of the CTBG, namely, the supplementary motor area (SMA) and the putamen using a 7-microelectrode system. The data will be analyzed using uni-and multivariate statistical methods to correlate timing behavior and single cell and population activity. This will allow us to elucidate the role of CTBG components in temporal information processing, decipher the neural codes, and reveal the mechanism of the interval timing.