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.
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.
Introduction Part 1 - Methods of assessing neuromarkers Chapter 1.1 - Theory of measurement Chapter 1.2 - Psychometrics and neuropsychological assessment Chapter 1.3 - Functional MRI Chapter 1.4 - Positron emission tomography Chapter 1.5 - Spontaneous electroencephalogram Chapter 1.6 - Event-related potentials Part 2 - Neuromarkers of cortical self-regulation Chapter 2.1 - Infraslow electrical oscillations Chapter 2.2 - Alpha rhythms Chapter 2.3 - Beta and gamma rhythms Chapter 2.4 - Frontal midline theta rhythm Part 3 - Information flow within the brain Chapter 3.1 - Sensory systems and attention modulation Chapter 3.2 - Executive system and cognitive control Chapter 3.3 - Affective system, emotions and stress Chapter 3.4 - Memory systems Part 4 - Methods of neuro-modulation Chapter 4.1 - Pharmacological approach Chapter 4.2 - Neurofeedback Chapter 4.3 - Electroconvulsive therapy Chapter 4.4 - Transcranial Direct Current Stimulation Chapter 4.5 - Transcranial magnetic stimulation Chapter 4.6 - Deep Brain Stimulation Part 5 - Neuromarkers in psychiatry Chapter 5.1 - Attention deficit hyperactivity disorder Chapter 5.2 - Schizophrenia Chapter 5.3 - Obsessive-compulsive disorder Part 6 - Assessing functional neuromarkers Chapter 6.1 - Working hypothesis Chapter 6.2 - Technical implementation Chapter 6.3 - Testing working hypothesis: spontaneous EEG Chapter 6.4 - Testing working hypothesis: Event-Related Proposals Chapter 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