Literature DB >> 35846788

Application of Cognitive Bias Testing in Neuropsychiatric Disorders: A Mini-Review Based on Animal Studies.

Yu-Han Zhang1,2, Ning Wang1,2, Xiao-Xiao Lin1,2, Jin-Yan Wang1,2, Fei Luo1,2.   

Abstract

Cognitive biases can arise from cognitive processing under affective states and reflect the impact of emotion on cognition. In animal studies, the existing methods for detecting animal emotional state are still relatively limited, and cognitive bias test has gradually become an important supplement. In recent years, its effectiveness in animal research related to neuropsychiatric disorders has been widely verified. Some studies have found that cognitive bias test is more sensitive than traditional test methods such as forced swimming test and sucrose preference test in detecting emotional state. Therefore, it has great potential to become an important tool to measure the influence of neuropsychiatric disorder-associated emotions on cognitive processing. Moreover, it also can be used in early drug screening to effectively assess the potential effects or side effects of drugs on affective state prior to clinical trials. In this mini-review, we summarize the application of cognitive bias tests in animal models of neuropsychiatric disorders such as depression, anxiety, bipolar disorder, and pain. We also discussed its critical value in the identification of neuropsychiatric disorders and the validation of therapeutic approaches.
Copyright © 2022 Zhang, Wang, Lin, Wang and Luo.

Entities:  

Keywords:  affective state; animal research; application; cognitive bias test; interpretation bias; memory bias

Year:  2022        PMID: 35846788      PMCID: PMC9283837          DOI: 10.3389/fnbeh.2022.924319

Source DB:  PubMed          Journal:  Front Behav Neurosci        ISSN: 1662-5153            Impact factor:   3.617


  73 in total

1.  Cancer blues? A promising judgment bias task indicates pessimism in nude mice with tumors.

Authors:  A Resasco; A MacLellan; M A Ayala; L Kitchenham; A M Edwards; S Lam; S Dejardin; G Mason
Journal:  Physiol Behav       Date:  2021-05-21

Review 2.  Side effects of pain and analgesia in animal experimentation.

Authors:  Paulin Jirkof
Journal:  Lab Anim (NY)       Date:  2017-03-22       Impact factor: 12.625

Review 3.  Pros and Cons of Clinically Relevant Methods to Assess Pain in Rodents.

Authors:  Anke Tappe-Theodor; Tamara King; Michael M Morgan
Journal:  Neurosci Biobehav Rev       Date:  2019-03-15       Impact factor: 8.989

4.  The effects of acute pharmacological stimulation of the 5-HT, NA and DA systems on the cognitive judgement bias of rats in the ambiguous-cue interpretation paradigm.

Authors:  Rafal Rygula; Justyna Papciak; Piotr Popik
Journal:  Eur Neuropsychopharmacol       Date:  2014-01-18       Impact factor: 4.600

Review 5.  Expectancy biases in fear and anxiety and their link to biases in attention.

Authors:  Tatjana Aue; Hadas Okon-Singer
Journal:  Clin Psychol Rev       Date:  2015-08-28

6.  The partial saphenous nerve injury model of pain impairs reward-related learning but not reward sensitivity or motivation.

Authors:  Caroline E Phelps; Bridget M Lumb; Lucy F Donaldson; Emma S Robinson
Journal:  Pain       Date:  2021-03-01       Impact factor: 6.961

7.  Processing of temporal unpredictability in human and animal amygdala.

Authors:  Cyril Herry; Dominik R Bach; Fabrizio Esposito; Francesco Di Salle; Walter J Perrig; Klaus Scheffler; Andreas Lüthi; Erich Seifritz
Journal:  J Neurosci       Date:  2007-05-30       Impact factor: 6.167

8.  Trait pessimism predicts vulnerability to stress-induced anhedonia in rats.

Authors:  Rafal Rygula; Justyna Papciak; Piotr Popik
Journal:  Neuropsychopharmacology       Date:  2013-05-10       Impact factor: 7.853

9.  Opposite Effects of Early-Life Competition and Developmental Telomere Attrition on Cognitive Biases in Juvenile European Starlings.

Authors:  Melissa Bateson; Michael Emmerson; Gökçe Ergün; Pat Monaghan; Daniel Nettle
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

10.  Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats.

Authors:  Claire A Hales; Emma S J Robinson; Conor J Houghton
Journal:  PLoS One       Date:  2016-03-29       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.