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Computational Neuroscience

Overview of attention for book
Computational Neuroscience
Springer US

Table of Contents

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    Book Overview
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    Chapter 1 Toward Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psychiatry
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    Chapter 2 Molecular Methods in Neuroscience and Psychiatry
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    Chapter 3 Toward the Use of Research and Diagnostic Algorithmic Rules to Assess the Recurrence of Illness and Major Dysmood Disorder Features: The Diagnosis “Bipolar Disorder” Is Useless
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    Chapter 4 The Concept of Event-Related Oscillations: A Spotlight on Extended Applications
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    Chapter 5 Quantitative EEG Analysis: Introduction and Basic Principles
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    Chapter 6 QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response
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    Chapter 7 Quantitative EEG in Patients with Schizophrenia
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    Chapter 8 Computational Anatomy Going Beyond Brain Morphometry
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    Chapter 9 Nonlinear Methods for the Investigation of Psychotic Disorders
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    Chapter 10 Carving Out the Path to Computational Biomarkers for Mental Disorders
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    Chapter 11 Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disorders
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    Chapter 12 Magnetic Resonance Spectroscopy
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    Chapter 13 The Effect of Exogenous and Endogenous Parameters on Group Resting-State Effective Connectivity and BOLD Signal
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    Chapter 14 Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders
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    Chapter 15 Multimodal Integration in Psychiatry: Clinical Potential and Challenges
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    Chapter 16 Premises of Computational Neuroscience: Machine Learning Tools and Multivariate Analyses
Attention for Chapter 6: QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response
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Citations

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Chapter title
QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response
Chapter number 6
Book title
Computational Neuroscience
Published by
Humana, New York, NY, January 2023
DOI 10.1007/978-1-0716-3230-7_6
Book ISBNs
978-1-07-163229-1, 978-1-07-163230-7
Authors

Kandilarova, Sevdalina, Riečanský, Igor

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Unspecified 1 17%
Unknown 2 33%
Readers by discipline Count As %
Neuroscience 2 33%
Unspecified 1 17%
Unknown 3 50%

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