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非人类灵长类动物嗅觉表现的内隐测量揭示了厌恶和愉快的气味条件作用。

An implicit measure of olfactory performance for non-human primates reveals aversive and pleasant odor conditioning.

机构信息

Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.

出版信息

J Neurosci Methods. 2010 Sep 30;192(1):90-5. doi: 10.1016/j.jneumeth.2010.07.027. Epub 2010 Aug 3.

DOI:10.1016/j.jneumeth.2010.07.027
PMID:20688103
Abstract

We have little understanding of how odorants are processed in neural networks of the primate brain. Because chemo-stimuli are harder to control than physical stimuli (e.g. vision, audition), such research was limited by the temporal resolution, accuracy, and reliability of olfactometers (odor producing machines). Recent advances were able to create olfactometers that overcome these limitations, allowing their use together with neuroimaging techniques in humans. From the behavioral point of view, olfaction research requires a behavioral measure that can be used to quantify olfactory performance. This becomes a real problem when working with animals, where, unlike humans, explicit measures are harder to obtain. Furthermore, because odorants are powerful primitive reinforcers, such implicit measures can be beneficial to use in learning paradigms. Here we describe an olfactometer suitable for use in non-human primates, and an end-port design that allows the accurate measure of real-time respiratory modulations that are elicited in response to odor presentation. We demonstrate that this implicit measure is differentially modulated when experiencing pleasant or aversive odors. We then present an experimental paradigm in which monkeys learn to associate tones with odors, and show that the time delay from the conditioned stimuli to the next breath can be used to measure learning and memory expression in this paradigm. Using this construct, we reveal olfactory performance during acquisition and extinction of odor conditioning. These techniques can be used in electrophysiological recordings from relevant brain areas to shed light on neural networks involved in odor processing and reinforcement-learning.

摘要

我们对气味在灵长类动物大脑神经网络中的处理方式知之甚少。由于化学刺激物比物理刺激物(如视觉、听觉)更难控制,因此此类研究受到气味仪(产生气味的机器)的时间分辨率、准确性和可靠性的限制。最近的进展能够制造出克服这些限制的气味仪,使其能够与人类的神经影像学技术一起使用。从行为学的角度来看,嗅觉研究需要一种可以用来量化嗅觉表现的行为测量方法。当与动物一起工作时,这就成了一个真正的问题,因为与人类不同,动物的行为测量方法更难获得。此外,由于气味是强大的原始强化物,因此这种隐式测量方法在学习范式中可能很有用。在这里,我们描述了一种适用于非人类灵长类动物的气味仪,以及一种端端口设计,允许准确测量对气味呈现的实时呼吸调制。我们证明,当体验到令人愉快或令人厌恶的气味时,这种隐式测量方法会发生差异调节。然后,我们提出了一个实验范式,在该范式中,猴子学会将声音与气味相关联,并表明从条件刺激到下一次呼吸的时间延迟可以用于测量该范式中的学习和记忆表达。使用这种结构,我们揭示了在气味条件训练的获得和消退期间的嗅觉表现。这些技术可以与相关脑区的电生理记录一起使用,以阐明参与气味处理和强化学习的神经网络。

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