Literature DB >> 33113354

Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model.

Alexander Friedman1, Emily Hueske1, Sabrina M Drammis1, Sebastian E Toro Arana1, Erik D Nelson1, Cody W Carter1, Sebastien Delcasso1, Raimundo X Rodriguez1, Hope Lutwak1, Kaden S DiMarco1, Qingyang Zhang1, Lara I Rakocevic1, Dan Hu1, Joshua K Xiong1, Jiajia Zhao1, Leif G Gibb1, Tomoko Yoshida1, Cody A Siciliano1, Thomas J Diefenbach2, Charu Ramakrishnan3, Karl Deisseroth3, Ann M Graybiel4.   

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. 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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  VGluT1; approach-avoidance; corticostriatal; cost-benefit; decision-making; excitation-inhibition balance; motivation; parvalbumin interneurons; subjective value; utility

Mesh:

Substances:

Year:  2020        PMID: 33113354      PMCID: PMC7932131          DOI: 10.1016/j.cell.2020.09.060

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


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