小柯机器人

美国麻省理工学院Ann M. Graybiel团队发现，纹状体介导价值评估的学习过程。2020年10月27日，国际知名学术期刊《细胞》在线发表了这一成果。

Title: Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington’s Disease Model

Author: Alexander Friedman, Emily Hueske, Sabrina M. Drammis, Sebastian E. Toro Arana, Erik D. Nelson, Cody W. Carter, Sebastien Delcasso, Raimundo X. Rodriguez, Hope Lutwak, Kaden S. DiMarco, Qingyang Zhang, Lara I. Rakocevic, Dan Hu, Joshua K. Xiong, Jiajia Zhao, Leif G. Gibb, Tomoko Yoshida, Cody A. Siciliano, Thomas J. Diefenbach, Charu Ramakrishnan, Karl Deisseroth, Ann M. Graybiel

Issue&Volume:

Abstract: Learning valence-based responses to favorable and unfavorable options requires judgments of the relative value of the options, a process necessary for species survival. Wefound, using engineered mice, that circuit connectivity and function of the striosomecompartment of the striatum are critical for this type of learning. Calcium imagingduring valence-based learning exhibited a selective correlation between learning andstriosomal but not matrix signals. This striosomal activity encoded discriminationlearning and was correlated with task engagement, which, in turn, could be regulatedby chemogenetic excitation and inhibition. Striosomal function during discriminationlearning was disturbed with aging and severely so in a mouse model of Huntington’sdisease. Anatomical and functional connectivity of parvalbumin-positive, putativefast-spiking interneurons (FSIs) to striatal projection neurons was enhanced in striosomescompared 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.

DOI: 10.1016/j.cell.2020.09.060

Source: https://www.cell.com/cell/fulltext/S0092-8674(20)31301-5