Experimental animal models for the simulation of depression and anxiety
Author(s) -
Eberhard Fuchs,
Gabriele Flügge
Publication year - 2006
Publication title -
dialogues in clinical neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.11
H-Index - 87
eISSN - 1958-5969
pISSN - 1294-8322
DOI - 10.31887/dcns.2006.8.3/efuchs
Subject(s) - anxiety , context (archaeology) , animal models of depression , psychology , depression (economics) , relevance (law) , psychopharmacology , clinical psychology , animal model , human studies , neuroscience , psychiatry , medicine , biology , antidepressant , political science , law , paleontology , macroeconomics , economics , endocrinology
An impressive number of animal models to assess depression and anxiety are available today. However, the relationship between these models and the clinical syndromes of depression and anxiety is not always clear. Since human anxiety disorders represent a multifactorial phenomenon frequently comorbid with major depression andlor other psychiatric problems, the chance of creating animal models which consistently reflect the human situation is quite poor. When using experimental models to understand homologies between animal and human behavior, we have to consider the context in which an animal is investigated, and both the functional significance and relevance of the behavioral parameters that are quantified. Moreover, gender and interindividual and interspecies variabilities in behavioral responses to the test situation and in the sensitivity to pharmacological treatments are potential sources for confounding results. In the past, these aspects have been often neglected in preclinical approaches to behavioral pharmacology and psychopharmacology A pragmatic approach of combined preclinical and clinical efforts is necessary to imitate one or more aspects relevant to pathological anxiety disorders and depression. The resulting models may identify central nervous processes regulating defined behavioral output, the potential to develop more effective treatments.
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