Evidence map›Paper›PMID 34296121›Full record

ArticleCerebral cortex communications2020

Temporal Learning Among Prefrontal and Striatal Ensembles.

Eric Emmons, Gabriela Tunes-Chiuffa, Jeeyu Choi, R Austin Bruce, Matthew A Weber, Youngcho Kim, Nandakumar S Narayanan

Abstract read
In one paragraph

Article in Cerebral cortex communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Neurocomputational Models of Interval Timing: Seeing the Forest for the Trees.Advances in experimental medicine and biology · 2024
    Review
  7. Glycolysis-enhancing αNPJ Parkinson's disease · 2023
    Article
  8. Article
  9. Novelty-induced frontal-STN networks in Parkinson's disease.Cerebral cortex (New York, N.Y. : 1991) · 2022
    Article
  10. The neural bases for timing of durations.Nature reviews. Neuroscience · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Ramping activity in the striatum.Frontiers in computational neuroscience · 2022
    Article
  15. Experience-related enhancements in striatal temporal encoding.The European journal of neuroscience · 2021
    Article
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

7 authors.

Eric EmmonsDepartment of Psychiatry, Yale University, New Haven, CT 06515, USA.
Gabriela Tunes-ChiuffaUniversidade Federal do ABC, Sao Paulo 09210-580, Brazil.
Jeeyu ChoiSchool of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea.
R Austin BruceDepartment of Neurology, University of Iowa, Iowa City, IA 52242, USA.
Matthew A WeberDepartment of Neurology, University of Iowa, Iowa City, IA 52242, USA.
Youngcho KimDepartment of Neurology, University of Iowa, Iowa City, IA 52242, USA.
Nandakumar S NarayananDepartment of Neurology, University of Iowa, Iowa City, IA 52242, USA.

Funding

Timing and dopamine in frontostriatal circuitsR01MH116043 · NIMH · UNIVERSITY OF IOWA · PI NARAYANAN, NANDAKUMAR · 2018 to 2022
$2.4M
NIMH NIH HHS R01 MH116043
6 · The paper itself

Abstract

Behavioral flexibility requires the prefrontal cortex and striatum, but it is unclear if these structures play similar or distinct roles in adapting to novel circumstances. Here, we investigate neuronal ensembles in the medial frontal cortex (MFC) and the dorsomedial striatum (DMS) during one form of behavioral flexibility: learning a new temporal interval. We studied corticostriatal neuronal activity as rodents trained to respond after a 12-s fixed interval (FI12) learned to respond at a shorter 3-s fixed interval (FI3). On FI12 trials, we found that a key form of temporal processing-time-related ramping activity-decreased in the MFC but did not change in the DMS as animals learned to respond at a shorter interval. However, while MFC and DMS ramping was stable with successive days of two-interval performance, temporal decoding by DMS ensembles improved on FI3 trials. Finally, when comparing FI12 versus FI3 trials, we found that more DMS neurons than MFC neurons exhibited differential interval-related activity early in two-interval performance. These data suggest that the MFC and DMS play distinct roles during temporal learning and provide insight into corticostriatal circuits.

Indexed as

corticostriatalinterval timinglearningprefrontal cortexstriatum

Identifiers

PMID34296121
PMCPMC8152894

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.