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Using human brain imaging studies as a guide toward animal models of schizophrenia

Overview of attention for article published in Neuroscience, May 2015
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Article details
Title
Using human brain imaging studies as a guide toward animal models of schizophrenia
Published in
Neuroscience, May 2015
DOI 10.1016/j.neuroscience.2015.05.055
Pubmed ID
Authors
Abstract

Schizophrenia is a heterogeneous and poorly understood mental disorder that is presently defined solely by its behavioral symptoms. Advances in genetic, epidemiological and brain imaging techniques in the past half century, however, have significantly advanced our understanding of the underlying biology of the disorder. In spite of these advances clinical research remains limited in its power to establish the causal relationships that link etiology with pathophysiology and symptoms. In this context, animal models provide an important tool for causally testing hypotheses about biological processes postulated to be disrupted in the disorder. While animal models can exploit a variety of entry points towards the study of schizophrenia, here we describe an approach that seeks to closely approximate functional alterations observed with brain imaging techniques in patients. By modeling these intermediate pathophysiological alterations in animals, this approach offers an opportunity to (1) tightly link a single functional brain abnormality with its behavioral consequences, and (2) to determine whether a single pathophysiology can causally produce alterations in other brain areas that have been described in patients. In this review we first summarize a selection of well-replicated biological abnormalities described in the schizophrenia literature. We then provide examples of animal models that were studied in the context of patient imaging findings describing enhanced striatal dopamine D2 receptor function, alterations in thalamo-prefrontal circuit function, and metabolic hyperfunction of the hippocampus. Lastly, we discuss the implications of findings from these animal models for our present understanding of schizophrenia, and consider key unanswered questions for future research in animal models and human patients.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Indonesia 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 17 18%
Student > Bachelor 12 13%
Student > Master 11 12%
Student > Doctoral Student 5 5%
Other 11 12%
Unknown 18 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 17 18%
Neuroscience 17 18%
Medicine and Dentistry 10 11%
Psychology 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 12 13%
Unknown 28 30%
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 04 June 2015.
All research outputs
#21,965,415
of 27,805,653 outputs
Outputs from Neuroscience
#6,421
of 8,058 outputs
Outputs of similar age
#198,993
of 283,757 outputs
Outputs of similar age from Neuroscience
#102
of 159 outputs
Altmetric has tracked 27,805,653 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,058 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 283,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.