Mechanisms and Treatment of Psychiatric Disorders: Animal Models in Psychiatry

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Psychiatric Diseases".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2111

Special Issue Editor


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Guest Editor
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
Interests: neuropsychiatric disorders; autism spectrum disorders; sleep disorders; zebrafish; learning and memory; Alzheimer’s disease; therapeutics

Special Issue Information

Dear Colleagues,

Psychiatric conditions result from interactions between multitudes of risk genes and environmental factors. Psychiatric disorders are particularly difficult to diagnose and treat due to the heterogeneity of their causes and symptoms. Many of the drugs used to treat these disorders have long delays in their efficacies along with several undesirable side effects, rendering these drugs ineffective in patients. The primary reason for this is the lack of understanding of the basic mechanisms that underlie these disorders. This has prevented the translation of preclinical studies to addressing the pathology in human patients; therefore, there is an urgency for the development of more potent therapies for these disorders.

Animal models are important means for studying the etiology, pathology, and therapeutic mechanisms of psychiatric disorders in a controlled manner, which is not possible in clinical settings. These studies are essential when investigating different potential causes of psychiatric disorders. In addition, animal models allow for the better monitoring of disease progression and treatment responses, enabling the investigation of molecular, structural, and functional changes in the brain associated with different etiologies and therapies. This Special Issue calls for advances in the understanding and treatment of psychiatric disorders using different animal models.

Dr. Chanpreet Singh
Guest Editor

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Keywords

  • animal models
  • rodents
  • zebrafish
  • drosophila
  • psychiatry
  • neurobiology

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Published Papers (1 paper)

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Research

19 pages, 1241 KiB  
Article
Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata
by Michèle Wessa, Mila Domke-Wolf and Stefanie M. Jungmann
Brain Sci. 2023, 13(12), 1620; https://doi.org/10.3390/brainsci13121620 - 22 Nov 2023
Cited by 1 | Viewed by 1681
Abstract
A negative interpretation bias appears to depend on several depression-related state and trait characteristics, most notably depressive symptoms, negative mood, and negative cognitive schemas. While empirical findings for explicitly assessed interpretation bias are rather consistent, implicit measures have revealed heterogeneous results. In this [...] Read more.
A negative interpretation bias appears to depend on several depression-related state and trait characteristics, most notably depressive symptoms, negative mood, and negative cognitive schemas. While empirical findings for explicitly assessed interpretation bias are rather consistent, implicit measures have revealed heterogeneous results. In this context, we present two studies investigating the relationship between implicit and explicit interpretation bias and depression- and anxiety-related state and trait variables. In the first study, we conducted an implicit ambiguous cue-conditioning task (ACCT) with 113 young, healthy individuals. In the second study, we utilized an explicit ambiguous social situations task (DUCTUS) with 113 young, healthy individuals. Additionally, a subsample of 46 participants completed both the ACCT and DUCTUS tasks to directly relate the two bias scores obtained from the implicit and explicit assessment methods, respectively. In the first study, regression analysis revealed no significant predictors for the implicit interpretation bias. However, in the second study, the explicit negative interpretation bias was significantly predicted by female gender, depressive symptoms, and dysfunctional cognitive schemas. For the subsample that completed both tasks, we observed no significant correlation between the two bias scores obtained from the ACCT and DUCTUS. These results suggest that implicit and explicit interpretation biases are differently associated with depression-related trait and state characteristics, indicating that they represent different aspects of biased information processing. Full article
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