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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.
  19. Altmetric Badge
    Chapter 5016 Experimental Medicine in Psychiatry New Approaches in Schizophrenia, Depression and Cognition
Attention for Chapter 5006: The Need for Treatment Responsive Translational Biomarkers in Alcoholism Research.
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Chapter title
The Need for Treatment Responsive Translational Biomarkers in Alcoholism Research.
Chapter number 5006
Book title
Translational Neuropsychopharmacology
Published in
Current topics in behavioral neurosciences, January 2015
DOI 10.1007/7854_2015_5006
Pubmed ID
Book ISBNs
978-3-31-933911-5, 978-3-31-933913-9
Authors

Markus Heilig, Wolfgang H. Sommer, Rainer Spanagel

Editors

Trevor W. Robbins, Barbara J. Sahakian

Abstract

Over the past two decades, major advances have been made in the basic neuroscience of alcohol addiction. However, few of these have been translated into clinically useful treatments, which remain limited. In the past decade, psychiatric drug development in general has been stalled, with many preclinically validated mechanisms failing in clinical development. Despite the existence of appealing preclinical models in the area of addictive disorders, drug development for these conditions has been impacted by the exodus of major pharma from psychiatric neuroscience. Here, we discuss translational biomarker strategies that may help turn this tide. Following an approach patterned on an endophenotype approach to complex behavioral traits, we hypothesize that relatively simple biological measures should be sought that can be obtained both in experimental animals and in humans, and that may be responsive to alcoholism medications. These biomarkers have to be tailored to the specific mechanism targeted by candidate medications and may in fact also help identify biologically more homogeneous subpopulations of patients. We introduce as examples alcohol-induced dopamine (DA) release, measures of central glutamate levels, and network connectivity, and discuss our experience to date with these biomarker strategies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Master 5 19%
Other 2 7%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 3 11%
Unknown 7 26%
Readers by discipline Count As %
Neuroscience 6 22%
Medicine and Dentistry 4 15%
Agricultural and Biological Sciences 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Nursing and Health Professions 1 4%
Other 4 15%
Unknown 7 26%