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Translational Neuropsychopharmacology

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Cover of 'Translational Neuropsychopharmacology'

Table of Contents

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    Book Overview
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    Chapter 1 Relating Translational Neuroimaging and Amperometric Endpoints: Utility for Neuropsychiatric Drug Discovery.
  3. Altmetric Badge
    Chapter 5001 Translational Neuropsychopharmacology
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    Chapter 5002 Attentional Set-Shifting Across Species
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    Chapter 5003 Translational Mouse Models of Autism: Advancing Toward Pharmacological Therapeutics
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    Chapter 5004 Translational Assessment of Reward and Motivational Deficits in Psychiatric Disorders.
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    Chapter 5005 Translational Research on Nicotine Dependence.
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    Chapter 5006 The Need for Treatment Responsive Translational Biomarkers in Alcoholism Research.
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    Chapter 5007 Cognitive Translation Using the Rodent Touchscreen Testing Approach
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    Chapter 5008 Translational Approaches Targeting Reconsolidation.
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    Chapter 5009 Attention and the Cholinergic System: Relevance to Schizophrenia
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    Chapter 5010 On the Road to Translation for PTSD Treatment: Theoretical and Practical Considerations of the Use of Human Models of Conditioned Fear for Drug Development.
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    Chapter 5011 Affective Biases in Humans and Animals
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    Chapter 5011 Affective Biases in Humans and Animals.
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    Chapter 5012 Animal Models of Deficient Sensorimotor Gating in Schizophrenia: Are They Still Relevant?
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    Chapter 5013 Translatable and Back-Translatable Measurement of Impulsivity and Compulsivity: Convergent and Divergent Processes
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    Chapter 5014 Translational Models of Gambling-Related Decision-Making.
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    Chapter 5015 Locomotor Profiling from Rodents to the Clinic and Back Again.
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    Chapter 5016 Experimental Medicine in Psychiatry New Approaches in Schizophrenia, Depression and Cognition
Attention for Chapter 5011: Affective Biases in Humans and Animals
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Chapter title
Affective Biases in Humans and Animals
Chapter number 5011
Book title
Translational Neuropsychopharmacology
Published by
Springer International Publishing, January 2016
DOI 10.1007/7854_20105_5011
Pubmed ID
Book ISBNs
978-3-31-933911-5, 978-3-31-933913-9
Authors

E.S.J. Robinson, J.P. Roiser

Editors

Trevor W. Robbins, Barbara J. Sahakian

Abstract

Depression is one of the most common but poorly understood psychiatric conditions. Although drug treatments and psychological therapies are effective in some patients, many do not achieve full remission and some patients receive no apparent benefit. Developing new improved treatments requires a better understanding of the aetiology of symptoms and evaluation of novel therapeutic targets in pre-clinical studies. Recent developments in our understanding of the basic cognitive processes that may contribute to the development of depression and its treatment offer new opportunities for both clinical and pre-clinical research. This chapter discusses the clinical evidence supporting a cognitive neuropsychological model of depression and antidepressant efficacy, and how this information may be usefully translated to pre-clinical investigation. Studies using neuropsychological tests in depressed patients and at risk populations have revealed basic negative emotional biases and disrupted reward and punishment processing, which may also impact on non-affective cognition. These affective biases are sensitive to antidepressant treatments with early onset effects observed, suggesting an important role in recovery. This clinical work into affective biases has also facilitated back-translation to animals and the development of assays to study affective biases in rodents. These animal studies suggest that, similar to humans, rodents in putative negative affective states exhibit negative affective biases on decision-making and memory tasks. Antidepressant treatments also induce positive biases in these rodent tasks, supporting the translational validity of this approach. Although still in the early stages of development and validation, affective biases in depression have the potential to offer new insights into the clinical condition, as well as facilitating the development of more translational approaches for pre-clinical studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 20%
Student > Bachelor 4 20%
Researcher 4 20%
Student > Master 4 20%
Professor 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Psychology 5 25%
Neuroscience 4 20%
Medicine and Dentistry 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Other 2 10%
Unknown 2 10%