Evidence map›Paper›PMID 34939922›Full record

ArticleeLife2021

Distributed coding of duration in rodent prefrontal cortex during time reproduction.

Josephine Henke, Raven Bunk, Dina von Werder, Stefan Häusler, Virginia L Flanagin, Kay Thurley

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Ramping cells in the rodent medial prefrontal cortex encode time to past and future events via real Laplace transform.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Neuroimaging Signatures of Metacognitive Improvement in Sensorimotor Timing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Article
  8. A Second Introduction to the Neurobiology of Interval Timing.Advances in experimental medicine and biology · 2024
    Review
  9. Naturalistic neuroscience and virtual reality.Frontiers in systems neuroscience · 2022
    Review
  10. A virtual reality time reproduction task for rodents.Frontiers in behavioral neuroscience · 2022
    Article
  11. Article
  12. 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

6 authors at 3 institutions in 1 country.

Josephine HenkeFaculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
Raven BunkFaculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
Dina von WerderFaculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0002-4193-5203
Stefan HäuslerFaculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0003-0772-8662
Virginia L FlanaginBernstein Center for Computational Neuroscience Munich, Munich, Germany.ORCID 0000-0002-6677-459X
Kay ThurleyFaculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0003-4857-1083
Bernstein Center for Computational Neuroscience Munich · DEBrandenburg University of Technology Cottbus-Senftenberg · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in nonprimate species. Here, we use time interval reproduction to study rodent behavior and its neural correlates in the context of magnitude estimation. We show that gerbils display primate-like magnitude estimation characteristics in time reproduction. Most prominently their behavioral responses show a systematic overestimation of small stimuli and an underestimation of large stimuli, often referred to as regression effect. We investigated the underlying neural mechanisms by recording from medial prefrontal cortex and show that the majority of neurons respond either during the measurement or the reproduction of a time interval. Cells that are active during both phases display distinct response patterns. We categorize the neural responses into multiple types and demonstrate that only populations with mixed responses can encode the bias of the regression effect. These results help unveil the organizing neural principles of time reproduction and perhaps magnitude estimation in general.

Indexed as

Time PerceptionAction PotentialsAnimalsBehavior, AnimalFemaleGerbillinaeNeuronsPhotic StimulationPrefrontal CortexTime Factorscentral tendencygerbilinterval timingmagnitude estimationneurosciencepopulation codingregression effect

Identifiers

PMID34939922
PMCPMC8786316
OpenAlexW4200348431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.