Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model.
Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model.
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DOI：
10.1016/j.cell.2020.09.060
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发表时间：
2020-11-12
期刊：
影响因子：
64.5
通讯作者：
Graybiel AM
中科院分区：
文献类型：
--
作者：
Friedman A;Hueske E;Drammis SM;Toro Arana SE;Nelson ED;Carter CW;Delcasso S;Rodriguez RX;Lutwak H;DiMarco KS;Zhang Q;Rakocevic LI;Hu D;Xiong JK;Zhao J;Gibb LG;Yoshida T;Siciliano CA;Diefenbach TJ;Ramakrishnan C;Deisseroth K;Graybiel AM
基于价值和不利的选择的基于价值的回答要求我们使用工程小鼠发现的物种生存所需的相对价值的法官。这种类型的学习在基于价的学习过程中表现出选择性的相关性，而不是基质，但不是矩阵的信号。激发和抑制作用。与学习的小鼠中的矩阵相比，这些发现的计算建模表明，FSI可以调节脑膜炎信号 - 噪声比率，这对于歧视和学习至关重要。
Friedman和Hueske等人发现，纹状体的专业区域是大脑运动和动机控制系统的关键部分，对于学习决策的好结果和不良结果的价值是必不可少的。与周围的矩阵不同，根据主题价值进行扩展，并且由于衰老和神经退行性疾病而容易下降。
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 have 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 could, in turn, 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 to matrix in mice that learned. Computational modeling of these findings suggests that FSIs can modulate striosomal signal-to-noise ratio, crucial for discrimination and learning. Friedman and Hueske et al. find that specialized regions of the striatum, a key part of the brain’s movement and motivation control system, are essential for learning about the values of good and bad outcomes of decisions. The learning signals in these striosomes, unlike in the surrounding matrix, scale according to subjective value and are vulnerable to decline with aging and neurodegenerative disorders. Striosomal signal-to-noise ratio improves with learning, and local inhibition, via parvalbumin-positive interneurons.
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