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Biomarkers in Psychiatry

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Cover of 'Biomarkers in Psychiatry'

Table of Contents

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    Book Overview
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    Chapter 41 Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry
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    Chapter 42 Reappraising Preclinical Models of Separation Anxiety Disorder, Panic Disorder, and CO 2 Sensitivity: Implications for Methodology and Translation into New Treatments
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    Chapter 43 Immunological Processes in Schizophrenia Pathology: Potential Biomarkers?
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    Chapter 44 Translational Shifts in Preclinical Models of Depression: Implications for Biomarkers for Improved Treatments
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    Chapter 45 Neuroimmune Biomarkers in Mental Illness
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    Chapter 46 Imaging and Genetic Biomarkers Predicting Transition to Psychosis
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    Chapter 47 Using Pattern Classification to Identify Brain Imaging Markers in Autism Spectrum Disorder
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    Chapter 48 Deconstructing Schizophrenia: Advances in Preclinical Models for Biomarker Identification
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    Chapter 49 Imaging and Genetic Approaches to Inform Biomarkers for Anxiety Disorders, Obsessive–Compulsive Disorders, and PSTD
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    Chapter 50 Cognitive Phenotypes for Biomarker Identification in Mental Illness: Forward and Reverse Translation
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    Chapter 52 Genomic and Imaging Biomarkers in Schizophrenia
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    Chapter 57 Stem Cells to Inform the Neurobiology of Mental Illness
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    Chapter 58 Biomarkers in Neuropsychiatry: A Prospect for the Twenty-First Century?
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    Chapter 64 Correction to: Imaging and Genetic Approaches to Inform Biomarkers for Anxiety Disorders, Obsessive–Compulsive Disorders, and PSTD
Attention for Chapter 50: Cognitive Phenotypes for Biomarker Identification in Mental Illness: Forward and Reverse Translation
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Citations

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Chapter title
Cognitive Phenotypes for Biomarker Identification in Mental Illness: Forward and Reverse Translation
Chapter number 50
Book title
Biomarkers in Psychiatry
Published by
Springer, Cham, January 2018
DOI 10.1007/7854_2018_50
Pubmed ID
Book ISBNs
978-3-31-999641-7, 978-3-31-999642-4
Authors

David A. MacQueen, Jared W. Young, Zackary A. Cope, MacQueen, David A., Young, Jared W., Cope, Zackary A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Ph. D. Student 6 18%
Student > Bachelor 5 15%
Other 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Psychology 10 29%
Neuroscience 4 12%
Medicine and Dentistry 2 6%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 4 12%
Unknown 12 35%