Evidence map›Paper›PMID 25814948›Full record

ArticleFrontiers in computational neuroscience2015

Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex.

Michael C Avery, Jeffrey L Krichmar

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Computational insights on asymmetricalCognitive neurodynamics · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Expression of Dopamine DFrontiers in psychiatry · 2021
    Article
  8. Activation of the mGluMolecular psychiatry · 2020
    Article
  9. Review
  10. Article
  11. Transcriptomic context ofProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

2 authors.

Michael C AverySystems Neurobiology Laboratory, Salk Institute for Biological Studies San Diego, CA, USA.
Jeffrey L KrichmarDepartment of Cognitive Sciences, University of California Irvine, CA, USA ; Department of Computer Sciences, University of California Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dopaminergic system has been shown to control the amount of noise in the prefrontal cortex (PFC) and likely plays an important role in working memory and the pathophysiology of schizophrenia. We developed a model that takes into account the known receptor distributions of D1 and D2 receptors, the changes these receptors have on neuron response properties, as well as identified circuitry involved in working memory. Our model suggests that D1 receptor under-stimulation in supragranular layers gates internal noise into the PFC leading to cognitive symptoms as has been proposed in attention disorders, while D2 over-stimulation gates noise into the PFC by over-activation of cortico-striatal projecting neurons in infragranular layers. We apply this model in the context of a memory-guided saccade paradigm and show deficits similar to those observed in schizophrenic patients. We also show set-shifting impairments similar to those observed in rodents with D1 and D2 receptor manipulations. We discuss how the introduction of noise through changes in D1 and D2 receptor activation may account for many of the symptoms of schizophrenia depending on where this dysfunction occurs in the PFC.

Indexed as

computational modelingD1 receptorD2 receptordopamineschizophrenia

Identifiers

PMID25814948
PMCPMC4356073

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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.