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通过双脉冲方法的行为适应性来绘制大脑刺激奖励背后的神经基质。

Mapping the neural substrate underlying brain stimulation reward with the behavioral adaptation of double-pulse methods.

作者信息

Miguelez Maïa, Bielajew Catherine

机构信息

School of Psychology, University of Ottawa, Ottawa, Ontario, Canada.

出版信息

Rev Neurosci. 2004;15(1):47-74. doi: 10.1515/revneuro.2004.15.1.47.

DOI:10.1515/revneuro.2004.15.1.47
PMID:15046199
Abstract

Behavioral adaptations of double-pulse methods--primarily collision and refractory period tests--have been employed to unveil the electrophysiological and anatomical characteristics of neural networks of known function. These paradigms are based on trade-off functions: a determination of different combinations of stimuli that yield the same behavioral output. A detailed explanation of the logic and methodology underlying these techniques is elaborated in this paper. The implementation of such approaches to the study of brain stimulation reward (BSR) has provided a means of discriminating between the neurons underlying this behavior from other cells activated by the stimulating electrode, endowing them with a particularly powerful scientific scope. An increasingly detailed portrait of the BSR substrate, both within and outside the medial forebrain bundle, has been emerging as a result of these investigations and is reviewed in this paper. Finally, the challenges associated with these paradigms are discussed and potential solutions as well as future experimental ventures proposed. Attention is drawn to the major contribution of these methods to our understanding of the neural pathways and characteristics underlying BSR.

摘要

双脉冲方法的行为适应性——主要是碰撞和不应期测试——已被用于揭示已知功能神经网络的电生理和解剖学特征。这些范式基于权衡函数:确定产生相同行为输出的不同刺激组合。本文详细阐述了这些技术背后的逻辑和方法。将此类方法应用于脑刺激奖赏(BSR)研究,提供了一种手段,可将这种行为背后的神经元与受刺激电极激活的其他细胞区分开来,赋予了它们特别强大的科学研究范围。作为这些研究的结果,内侧前脑束内外BSR基质的描绘越来越详细,本文对此进行了综述。最后,讨论了与这些范式相关的挑战,并提出了潜在的解决方案以及未来的实验探索。提请注意这些方法对我们理解BSR背后的神经通路和特征的主要贡献。

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Mapping the neural substrate underlying brain stimulation reward with the behavioral adaptation of double-pulse methods.通过双脉冲方法的行为适应性来绘制大脑刺激奖励背后的神经基质。
Rev Neurosci. 2004;15(1):47-74. doi: 10.1515/revneuro.2004.15.1.47.
2
Electrophysiological characteristics of neurons in forebrain regions implicated in self-stimulation of the medial forebrain bundle in the rat.大鼠中脑前脑束自我刺激相关前脑区域神经元的电生理特征
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引用本文的文献

1
Brain stimulation reward is integrated by a network of electrically coupled GABA neurons.脑刺激奖赏由电耦合的γ-氨基丁酸(GABA)神经元网络整合。
Brain Res. 2007 Jul 2;1156:46-58. doi: 10.1016/j.brainres.2007.04.053. Epub 2007 Apr 25.