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

Overview of attention for article published in Frontiers in Computational Neuroscience, March 2015
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Title
Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex
Published in
Frontiers in Computational Neuroscience, March 2015
DOI 10.3389/fncom.2015.00031
Pubmed ID
Authors

Michael C. Avery, Jeffrey L. Krichmar

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 1%
Brazil 1 1%
France 1 1%
Japan 1 1%
United Kingdom 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 15 20%
Student > Bachelor 12 16%
Student > Postgraduate 9 12%
Student > Master 9 12%
Other 7 9%
Unknown 8 11%
Readers by discipline Count As %
Neuroscience 16 21%
Psychology 11 15%
Agricultural and Biological Sciences 8 11%
Medicine and Dentistry 7 9%
Biochemistry, Genetics and Molecular Biology 5 7%
Other 16 21%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2018.
All research outputs
#19,944,962
of 24,512,028 outputs
Outputs from Frontiers in Computational Neuroscience
#1,094
of 1,420 outputs
Outputs of similar age
#194,432
of 263,632 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#28
of 32 outputs
Altmetric has tracked 24,512,028 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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