Functional Neuromarkers for Psychiatry

Applications for Diagnosis and Treatment
Erscheinungsjahr 2016
ISBN: 978-0-12-410513-3
Verlag: Elsevier Science

Buch, Englisch, 498 Seiten, Format (B × H): 156 mm x 236 mm, Gewicht: 939 g

Functional Neuromarkers for Psychiatry explores recent advances in neuroscience that have allowed scientists to discover functional neuromarkers of psychiatric disorders. These neuromarkers include brain activation patterns seen via fMRI, PET, qEEG, and ERPs. The book examines these neuromarkers in detail-what to look for, how to use them in clinical practice, and the promise they provide toward early detection, prevention, and personalized treatment of mental disorders.

The neuromarkers identified in this book have a diagnostic sensitivity and specificity higher than 80%. They are reliable, reproducible, inexpensive to measure, noninvasive, and have been confirmed by at least two independent studies. The book focuses primarily on the analysis of EEG and ERPs. It elucidates the neuronal mechanisms that generate EEG spontaneous rhythms and explores the functional meaning of ERP components in cognitive tasks. The functional neuromarkers for ADHD, schizophrenia, and obsessive-compulsive disorder are reviewed in detail. The book highlights how to use these functional neuromarkers for diagnosis, personalized neurotherapy, and monitoring treatment results.

Autoren/Hrsg.

Kropotov, Juri D

Fachgebiete

• Sozialwissenschaften Psychologie Psychotherapie / Klinische Psychologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Psychiatrie, Sozialpsychiatrie, Suchttherapie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft

Inhaltsverzeichnis

Introduction

Part 1 - Methods of assessing neuromarkersChapter 1.1 - Theory of measurementChapter 1.2 - Psychometrics and neuropsychological assessmentChapter 1.3 - Functional MRIChapter 1.4 - Positron emission tomographyChapter 1.5 - Spontaneous electroencephalogramChapter 1.6 - Event-related potentials

Part 2 - Neuromarkers of cortical self-regulationChapter 2.1 - Infraslow electrical oscillationsChapter 2.2 - Alpha rhythmsChapter 2.3 - Beta and gamma rhythmsChapter 2.4 - Frontal midline theta rhythm

Part 3 - Information flow within the brainChapter 3.1 - Sensory systems and attention modulationChapter 3.2 - Executive system and cognitive controlChapter 3.3 - Affective system, emotions and stressChapter 3.4 - Memory systems

Part 4 - Methods of neuro-modulationChapter 4.1 - Pharmacological approachChapter 4.2 - NeurofeedbackChapter 4.3 - Electroconvulsive therapyChapter 4.4 - Transcranial Direct Current StimulationChapter 4.5 - Transcranial magnetic stimulationChapter 4.6 - Deep Brain Stimulation

Part 5 - Neuromarkers in psychiatryChapter 5.1 - Attention deficit hyperactivity disorderChapter 5.2 - SchizophreniaChapter 5.3 - Obsessive-compulsive disorder

Part 6 - Assessing functional neuromarkersChapter 6.1 - Working hypothesisChapter 6.2 - Technical implementationChapter 6.3 - Testing working hypothesis: spontaneous EEGChapter 6.4 - Testing working hypothesis: Event-Related ProposalsChapter 6.5 - Monitoring treatment effects

Part 7 - The State of the Art: Overview

Chapter 7.1 - Objective Measures of Human Brain Functioning

Chapter 7.2 - Rhythms of the Healthy Brain

Chapter 7.3 - Information Flow in the Health Brain

Chapter 7.4 - Current Treatment Options in Psychiatry

Chapter 7.5 - Functional Neuromarkers in Diseased Brain

Chapter 7.6 - Implementation in Clinical Practice

Über Autor(innen)

Kropotov, Juri D
Juri D. Kropotov is the former president of the European Chapter of ISNR and the developer of the Mitsar-201 and 202 EEG amplifiers. Author of over 200 scientific papers and 9 books, he has three doctorates in theoretical physics, philosophy, and neurophysiology. He received the USSR State Prize in 1985, and the Copernicus Prize by the Polish Neuropsychological Society in 2009. His 2009 book Quantitative EEG: Event-Related Potentials and Neurotherapy received the award for the year's most significant publication in the field of neurofeedback from the Foundation for Neurofeedback and Applied Neuroscience.