Main description:

This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.
Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.

Contents:

Series Preface...
Preface...
Table of Contents...
Contributing Authors...

Part I Introduction

1. Towards Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psychiatry
Drozdstoy Stoyanov, Sevdalina Kandilarova, and Ferath Kherif

Part II Molecular Methods

2. Molecular Methods in Neuroscience and Psychiatry
Maria Ivanovska, Teodora Kalfova, Stelyan Petrov, Martina Bozhkova, Alexandra Baldzhieva, Hristo Taskov, Drozdstoy Stoyanov, and Marianna Murdjeva

3. Towards the Use of Research and Diagnostic Algorithmic Rules (RADAR) to Assess the Recurrence of Illness and Major Dysmood Disorder Features: The Diagnosis "Bipolar Disorder" is Useless
Michael Maes

Part III Neurophysiologic Methods

4. The Concept of Event-Related Oscillations: A Spotlight on Extended Applications
Vasil Kolev, Roumen Kirov, and Juliana Yordanova

5. Quantitative EEG Analysis: Introduction and Basic Principles
Georgi Panov

6. QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response
Sevdalina Kandilarova and Igor Riecansky

7. Quantitative EEG in Patients with Schizophrenia
Georgi Panov

Part IV Neuroimaging Methods

8. Computational Anatomy Going Beyond Brain Morphometry
Bogdan Draganski, Rositsa Paunova, Adeliya Latypova, and Ferath Kherif

9. Nonlinear Methods for the Investigation of Psychotic Disorders
Alexandra Korda, Marina Frisman, Christina Andreou, and Stefan Borgwardt

10. Carving Out the Path to Computational Biomarkers for Mental Disorders
Ronald Sladky, Anna Todeva-Radneva, and Claus Lamm

11. Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disorders
Sevdalina Kandilarova and Dora Zlatareva

12. Magnetic Resonance Spectroscopy
Letizia Squarcina and Paolo Brambilla

13. The Effect of Exogenous and Endogenous Parameters on Group Resting-State Effective Connectivity and BOLD Signal
Liucija Vaisvilaite, Meng-Yun Wang, Micael Andersson, and Karsten Specht

14. Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders
Jasmin Vassileva, Jeung-Hyun Lee, Elena Psederska, and Woo-Young Ahn

Part V Integrative Computational Neuroscience

15. Multimodal Integration in Psychiatry: Clinical Potential and Challenges
Eleonora Maggioni, Maria Chiara Piani, Elena Bondi, Anna M. Bianchi, and Paolo Brambilla

16. Premises of Computational Neuroscience: Machine Learning Tools and Multivariate Analyses
Ferath Kherif, Cristina Ramponi, Adeliya Latypova, and Rositsa Paunova

Subject Index List...