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Modeling schizophrenia: uncovering novel therapeutic targets

Authors: Lieve, Desbonnet; Colm Mp, O'Tuathaigh; John L, Waddington;

Modeling schizophrenia: uncovering novel therapeutic targets

Abstract

The vague relationship between diagnosis, underlying etiology and a rudimentary understanding of the pathophysiology of psychosis, particularly schizophrenia, has made it difficult to develop and validate suitable disease models for such disorders. Despite recent technological advancements, animal models have yet to yield a revolutionary treatment for schizophrenia. Refinement and standardization of assessment methods in the preclinical domain and streamlining of concepts from which animal models are generated are required, particularly in relation to models that recapitulate cognitive and negative symptoms of schizophrenia. In this review, caveats of current treatments for schizophrenia and current animal modeling strategies are examined in the context of their validity and potential for discovery of novel therapies, and finally, future prospects for the field are considered.

Keywords

Disease Models, Animal, Models, Neurological, Schizophrenia, Animals, Humans, Schizophrenic Psychology, Neuropsychological Tests, Antipsychotic Agents

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Top 10%
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