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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 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 title
On the Road to Translation for PTSD Treatment: Theoretical and Practical Considerations of the Use of Human Models of Conditioned Fear for Drug Development.
Chapter number 5010
Book title
Translational Neuropsychopharmacology
Published in
Current topics in behavioral neurosciences, January 2015
DOI 10.1007/7854_2015_5010
Pubmed ID
Book ISBNs
978-3-31-933911-5, 978-3-31-933913-9
Authors

Victoria B. Risbrough, Daniel E. Glenn, Dewleen G. Baker

Editors

Trevor W. Robbins, Barbara J. Sahakian

Abstract

The use of quantitative, laboratory-based measures of threat in humans for proof-of-concept studies and target development for novel drug discovery has grown tremendously in the last 2 decades. In particular, in the field of posttraumatic stress disorder (PTSD), human models of fear conditioning have been critical in shaping our theoretical understanding of fear processes and importantly, validating findings from animal models of the neural substrates and signaling pathways required for these complex processes. Here, we will review the use of laboratory-based measures of fear processes in humans including cued and contextual conditioning, generalization, extinction, reconsolidation, and reinstatement to develop novel drug treatments for PTSD. We will primarily focus on recent advances in using behavioral and physiological measures of fear, discussing their sensitivity as biobehavioral markers of PTSD symptoms, their response to known and novel PTSD treatments, and in the case of d-cycloserine, how well these findings have translated to outcomes in clinical trials. We will highlight some gaps in the literature and needs for future research, discuss benefits and limitations of these outcome measures in designing proof-of-concept trials, and offer practical guidelines on design and interpretation when using these fear models for drug discovery.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 5 14%
Professor 4 11%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Other 5 14%
Unknown 10 27%
Readers by discipline Count As %
Psychology 9 24%
Neuroscience 6 16%
Medicine and Dentistry 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Agricultural and Biological Sciences 1 3%
Other 2 5%
Unknown 12 32%