Evidence map›Paper›PMID 33113354›Full record

ArticleCell2020

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

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 and 12 more

Abstract read
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
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  7. Whole-brain input organization ofFrontiers in neural circuits · 2026
    Article
  8. Article
  9. Cross-species consensus atlas of the primate basal ganglia.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Striosome Circuitry Stimulation Inhibits Striatal Dopamine Release and Locomotion.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Alexander FriedmanMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Emily HueskeMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sabrina M DrammisMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sebastian E Toro AranaMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Erik D NelsonMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cody W CarterMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Sebastien DelcassoMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Raimundo X RodriguezMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Hope LutwakMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Kaden S DiMarcoMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Qingyang ZhangMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Lara I RakocevicMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Dan HuMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Joshua K XiongMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jiajia ZhaoMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Leif G GibbMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Tomoko YoshidaMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cody A SicilianoMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Thomas J DiefenbachRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
Charu RamakrishnanDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Ann M GraybielMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: graybiel@mit.edu.

Funding

Project 4_Bruchas : Circuit-level Approaches for Dissecting Approach/Avoidance Behaviors Mediated by Nociceptin Systems in MiceP50MH119467 · NIMH · MCLEAN HOSPITAL · PI PIZZAGALLI, DIEGO A · 2020 to 2024
$15.9M
Functional and anatomical characterization of the striosomal systemR01MH060379 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Ann M Graybiel · 2000 to 2026
$8.7M
Defining the role of cortical circuit dynamics in learning and addictionR00DA045103 · NIDA · VANDERBILT UNIVERSITY · PI SICILIANO, CODY · 2020 to 2022
$764k
NIDA NIH HHS R00 DA045103NIMH NIH HHS P50 MH119467NIMH NIH HHS R01 MH060379
6 · The paper itself

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.

Indexed as

LearningAction PotentialsAgingAnimalsBehavior, AnimalBiomarkersCorpus StriatumDiscrimination LearningDisease Models, AnimalHuntington DiseaseInterneuronsMice, TransgenicModels, NeurologicalNerve NetParvalbuminsPhotometryBiomarkersParvalbuminsapproach-avoidancecorticostriatalcost-benefitdecision-makingexcitation-inhibition balancemotivationparvalbumin interneuronssubjective valueutilityVGluT1

Identifiers

PMID33113354
PMCPMC7932131

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.