Neurophysiology of time production

描述（由申请人提供）：本研究将主要在墨西哥国立大学神经生物学研究所与Hugo Bennett-Nancy合作完成，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，它不仅与任何感官形式有关，而且涉及广泛的行为，从物体拦截和碰撞避免到音乐表演和演讲。然而，有一个显着缺乏信息的神经生理学基础的时间处理。在这个建议中概述的工作的目标是获得100- 1000毫秒尺度的间隔计时的神经基础的理解，更具体地说，调查皮质丘脑-基底神经节回路（CTBG）在这种行为中的作用。虽然许多药理学、损伤和影像学研究表明CTBG参与时间加工，但其时间间隔的神经机制仍不清楚。我们的一般论点是，生产的时间间隔取决于一个内部的时钟，其神经生理机制是基于整个CTBG的分布式信息处理。为了测试这些想法，恒河猴将接受涉及产生单个或多个时间间隔的任务的训练。在CTBG的2个结构，即，辅助运动区（SMA）和壳核中，使用7-微电极系统在任务执行期间记录单细胞的冲动活动。将使用单变量和多变量统计方法分析数据，以将计时行为与单细胞和群体活性相关联。这将使我们能够阐明CTBG成分在时间信息处理中的作用，破译神经代码，并揭示间隔计时的机制。

DESCRIPTION (provided by applicant): 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 linked 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 2 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.