Literature DB >> 22231808

Rodent models of adaptive decision making.

Alicia Izquierdo1, Annabelle M Belcher.   

Abstract

Adaptive decision making affords the animal the ability to respond quickly to changes in a dynamic environment: one in which attentional demands, cost or effort to procure the reward, and reward contingencies change frequently. The more flexible the organism is in adapting choice behavior, the more command and success the organism has in navigating its environment. Maladaptive decision making is at the heart of much neuropsychiatric disease, including addiction. Thus, a better understanding of the mechanisms that underlie normal, adaptive decision making helps achieve a better understanding of certain diseases that incorporate maladaptive decision making as a core feature. This chapter presents three general domains of methods that the experimenter can manipulate in animal decision-making tasks: attention, effort, and reward contingency. Here, we present detailed methods of rodent tasks frequently employed within these domains: the Attentional Set-Shift Task, Effortful T-maze Task, and Visual Discrimination Reversal Learning. These tasks all recruit regions within the frontal cortex and the striatum, and performance is heavily modulated by the neurotransmitter dopamine, making these assays highly valid measures in the study of psychostimulant addiction.

Entities:  

Mesh:

Year:  2012        PMID: 22231808      PMCID: PMC6501796          DOI: 10.1007/978-1-61779-458-2_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

Review 1.  Translational Rodent Paradigms to Investigate Neuromechanisms Underlying Behaviors Relevant to Amotivation and Altered Reward Processing in Schizophrenia.

Authors:  Jared W Young; Athina Markou
Journal:  Schizophr Bull       Date:  2015-07-20       Impact factor: 9.306

2.  Impaired reward learning and intact motivation after serotonin depletion in rats.

Authors:  Alicia Izquierdo; Kathleen Carlos; Serena Ostrander; Danilo Rodriguez; Aaron McCall-Craddolph; Gargey Yagnik; Feimeng Zhou
Journal:  Behav Brain Res       Date:  2012-05-28       Impact factor: 3.332

3.  Nucleus Accumbens Core Dopamine D2 Receptor-Expressing Neurons Control Reversal Learning but Not Set-Shifting in Behavioral Flexibility in Male Mice.

Authors:  Tom Macpherson; Ji Yoon Kim; Takatoshi Hikida
Journal:  Front Neurosci       Date:  2022-06-28       Impact factor: 5.152

4.  Basolateral amygdala lesions facilitate reward choices after negative feedback in rats.

Authors:  Alicia Izquierdo; Chelsi Darling; Nic Manos; Hilda Pozos; Charissa Kim; Serena Ostrander; Victor Cazares; Haley Stepp; Peter H Rudebeck
Journal:  J Neurosci       Date:  2013-02-27       Impact factor: 6.167

Review 5.  Anhedonia, avolition, and anticipatory deficits: assessments in animals with relevance to the negative symptoms of schizophrenia.

Authors:  Samuel A Barnes; Andre Der-Avakian; Athina Markou
Journal:  Eur Neuropsychopharmacol       Date:  2013-10-14       Impact factor: 4.600

6.  An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents.

Authors:  Qi Zhang; Yuki Kobayashi; Hiromichi Goto; Shigeyoshi Itohara
Journal:  J Vis Exp       Date:  2018-08-02       Impact factor: 1.355

7.  Non-numerical strategies used by bees to solve numerical cognition tasks.

Authors:  HaDi MaBouDi; Andrew B Barron; Sun Li; Maria Honkanen; Olli J Loukola; Fei Peng; Wenfeng Li; James A R Marshall; Alex Cope; Eleni Vasilaki; Cwyn Solvi
Journal:  Proc Biol Sci       Date:  2021-02-17       Impact factor: 5.349

Review 8.  Thalamic afferents to prefrontal cortices from ventral motor nuclei in decision-making.

Authors:  Bianca Sieveritz; Marianela García-Muñoz; Gordon W Arbuthnott
Journal:  Eur J Neurosci       Date:  2018-12-03       Impact factor: 3.386

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.