McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
Cell. 2020 Nov 12;183(4):918-934.e49. doi: 10.1016/j.cell.2020.09.060. Epub 2020 Oct 27.
Learning valence-based responses to favorable and unfavorable options requires judgments of the relative value of the options, a process necessary for species survival. We found, using engineered mice, that circuit connectivity and function of the striosome compartment of the striatum are critical for this type of learning. Calcium imaging during valence-based learning exhibited a selective correlation between learning and striosomal but not matrix signals. This striosomal activity encoded discrimination learning and was correlated with task engagement, which, in turn, could be regulated by chemogenetic excitation and inhibition. Striosomal function during discrimination learning was disturbed with aging and severely so in a mouse model of Huntington's disease. Anatomical and functional connectivity of parvalbumin-positive, putative fast-spiking interneurons (FSIs) to striatal projection neurons was enhanced in striosomes compared with matrix in mice that learned. Computational modeling of these findings suggests that FSIs can modulate the striosomal signal-to-noise ratio, crucial for discrimination and learning.
学习对有利和不利选项的效价反应需要对选项的相对价值进行判断,这是物种生存所必需的过程。我们利用基因工程小鼠发现,纹状体纹状体区的连接和功能对于这种类型的学习至关重要。在基于效价的学习过程中的钙成像显示,学习与纹状体但不是基质信号之间存在选择性相关性。这种纹状体活动编码了辨别学习,并与任务参与相关,而任务参与反过来又可以通过化学遗传兴奋和抑制来调节。在辨别学习期间,纹状体功能随着年龄的增长而受到干扰,在亨廷顿病的小鼠模型中则受到严重干扰。在学习的小鼠中,与基质相比,纹状体中的 GABA 能快发中间神经元(FSI)与纹状体投射神经元的解剖和功能连接增强。对这些发现的计算模型表明,FSI 可以调节纹状体的信号噪声比,这对辨别和学习至关重要。