Evidence map›Paper›PMID 35260863›Full record

ArticleNature neuroscience2022

Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state.

Scott S Bolkan, Iris R Stone, Lucas Pinto, Zoe C Ashwood, Jorge M Iravedra Garcia, Alison L Herman, Priyanka Singh, Akhil Bandi, Julia Cox, Christopher A Zimmerman and 4 more

Abstract read
In one paragraph

Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Similar Response Dynamics Represent Opposite Behaviors and Rewards in the Frontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Article
  6. Addressing degeneracy in rodent studies of cognition.Current opinion in neurobiology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Scott S Bolkan *Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Iris R Stone *Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0001-8707-5862
Lucas PintoPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-0471-9317
Zoe C AshwoodPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0003-2983-8854
Jorge M Iravedra GarciaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Alison L HermanPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Priyanka SinghPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Akhil BandiPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Julia CoxPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Christopher A ZimmermanPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Jounhong Ryan ChoPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Ben EngelhardPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Jonathan W PillowPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA. pillow@princeton.edu.ORCID http://orcid.org/0000-0002-3638-8831
Ilana B WittenPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA. iwitten@princeton.edu.ORCID http://orcid.org/0000-0003-0548-2160

Funding

Subcortical Neural Coding and DynamicsU19NS104648 · NINDS · PRINCETON UNIVERSITY · PI BRODY, CARLOS D · 2017 to 2021
$15.3M
NRSA Training Grant in Quantitative NeuroscienceT32MH065214 · NIMH · PRINCETON UNIVERSITY · PI Nathaniel Douglass Daw, KENNETH A NORMAN · 2002 to 2026
$7.9M
Mechanisms of neural circuit dynamics in working memoryU01NS090541 · NINDS · PRINCETON UNIVERSITY · PI BIALEK, WILLIAM, BRODY, CARLOS D · 2014 to 2016
$3.1M
Dissecting the neural circuitry for spatial working memoryR01MH106689 · NIMH · PRINCETON UNIVERSITY · PI WITTEN, ILANA · 2015 to 2019
$2.0M
CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward CircuitR01DA047869 · NIDA · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA, WITTEN, ILANA · 2018 to 2021
$1.0M
Adaptive statistical algorithms for learning and control of neural dynamicsRF1DA056404 · NIDA · PRINCETON UNIVERSITY · PI PARK, IL MEMMING, PILLOW, JONATHAN WILLIAM · 2022 to 2022
$969k
Mechanisms Underlying Large-Scale Coordination of Cortical Activity During Perceptual DecisionsR00MH120047 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PINTO, LUCAS · 2021 to 2023
$741k
Mechanisms underlying large-scale coordination of cortical activity during perceptual decisionsK99MH120047 · NIMH · PRINCETON UNIVERSITY · PI PINTO, LUCAS · 2019 to 2020
$217k
Striatal substrates regulating sensory-guided and memory-guided behaviorsF32MH118792 · NIMH · PRINCETON UNIVERSITY · PI BOLKAN, SCOTT STEVEN · 2019 to 2021
$200k
Large- and meso-scale cortical dynamics underlying evidence accumulation and decision-makingF32NS101871 · NINDS · PRINCETON UNIVERSITY · PI PINTO, LUCAS · 2017 to 2018
$117k
NIDA NIH HHS R01 DA047869NIDA NIH HHS RF1 DA056404NIMH NIH HHS F32 MH118792NIMH NIH HHS K99 MH120047NIMH NIH HHS R00 MH120047NIMH NIH HHS R01 MH106689NIMH NIH HHS T32 MH065214NINDS NIH HHS F32 NS101871NINDS NIH HHS U01 NS090541NINDS NIH HHS U19 NS104648
6 · The paper itself

Abstract

A classic view of the striatum holds that activity in direct and indirect pathways oppositely modulates motor output. Whether this involves direct control of movement, or reflects a cognitive process underlying movement, remains unresolved. Here we find that strong, opponent control of behavior by the two pathways of the dorsomedial striatum depends on the cognitive requirements of a task. Furthermore, a latent state model (a hidden Markov model with generalized linear model observations) reveals that-even within a single task-the contribution of the two pathways to behavior is state dependent. Specifically, the two pathways have large contributions in one of two states associated with a strategy of evidence accumulation, compared to a state associated with a strategy of repeating previous choices. Thus, both the demands imposed by a task, as well as the internal state of mice when performing a task, determine whether dorsomedial striatum pathways provide strong and opponent control of behavior.

Indexed as

Corpus StriatumNeostriatumAnimalsBehavior, AnimalChoice BehaviorMiceMovement

Identifiers

PMID35260863
PMCPMC8915388

What OpenQuestion holds

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Registered trials

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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.