Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model.
Action Potentials
Aging
/ pathology
Animals
Behavior, Animal
Biomarkers
/ metabolism
Corpus Striatum
/ pathology
Discrimination Learning
Disease Models, Animal
Huntington Disease
/ pathology
Interneurons
/ pathology
Learning
Mice, Transgenic
Models, Neurological
Nerve Net
/ physiopathology
Parvalbumins
/ metabolism
Photometry
Reward
Task Performance and Analysis
VGluT1
approach-avoidance
corticostriatal
cost-benefit
decision-making
excitation-inhibition balance
motivation
parvalbumin interneurons
subjective value
utility
Journal
Cell
ISSN: 1097-4172
Titre abrégé: Cell
Pays: United States
ID NLM: 0413066
Informations de publication
Date de publication:
12 11 2020
12 11 2020
Historique:
received:
21
02
2020
revised:
10
07
2020
accepted:
24
09
2020
pubmed:
29
10
2020
medline:
20
5
2021
entrez:
28
10
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33113354
pii: S0092-8674(20)31301-5
doi: 10.1016/j.cell.2020.09.060
pmc: PMC7932131
mid: NIHMS1666332
pii:
doi:
Substances chimiques
Biomarkers
0
Parvalbumins
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
918-934.e49Subventions
Organisme : NIMH NIH HHS
ID : P50 MH119467
Pays : United States
Organisme : NIDA NIH HHS
ID : R00 DA045103
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH060379
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Interests The authors declare no competing interests.
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