About Prof. Juri Kropotov

Prof. Juri Kropotov is a leading expert in the basic and applied neuroscience. The unique methodology developed in his labs at the Human Brain Institute in St Petersburg (Russia) allows a sophisticated analysis of brain electric activity in resting states and under task conditions. The methodology is described in his book Kropotov, J.D. (2009). Quantitative EEG, event-related potentials and neurotherapy. London: Academic Press. These precise measurements of brain function can be used as Neuromarkers in the clinical context to evaluate brain health in different psychiatric and neurological disorders. The experience of translating this methodology into clinical practice is presented in his recently published book Kropotov, J. D. (2016). Functional neuromarkers for psychiatry: Applications for diagnosis and treatment. San Diego, CA, US: Elsevier Academic Press. 

His scientific and research career spans 45 years of dedicated work in Brain science. Juri Kropotov, PhD. has earned three doctorates: in theoretical physics, in philosophy and  neurophysiology. From 1970 to 1990, he practiced at the psychiatric clinics of the Institute of Experimental Medicine and Institute of the Human Brain at the Russian Academy of Sciences in St. Petersburg. 

His work with psychiatric patients included electrode implantation for neurological research, evaluation, diagnosis and therapy. For this research, in 1985 he was awarded the country's highest scientific award - the USSR State Prize. 
His scientific interests are now focused on quantitative EEG and normative data bases, event-related potentials (ERPs), Neurotherapy (Neurofeedback, tDCS, DBS), QEEG/ERP markers of psychiatric and neurological disorders. His achievements include many years .

Interview with Prof. Yury Kropotov

   Publications by Prof. Yury Kropotov


Neuromarkers of anxiety and depression in a patient after neuro-ophtalmic surgery.pdf

ERP-Based phenotypes from Neuromodulation Book.pdf
Major review article:New Neurotechnologies for the diagnosis and modulation of brain dysfunctions.pdf
Quantitative EEG, Event-Related Potentials and Neurotherapy
 Key Features

Features & Benefits:

provide a holistic picture of quantitative EEG and event related potentials as a unified scientific field.

present a unified description of the methods of quantitative EEG and event related potentials.

give a scientifically based overview of existing approaches in the field of neurotherapy

provide practical information for the better understanding and treatment of disorders, such as ADHD, Schizophrenia, Addiction, OCD, Depression, and Alzheimer's Disease companion web site containing software which analyzes EEG patterns and database sample EEGs / Reader can see actual examples of EEG patterns discussed in book and can upload their own library of EEGs for analysis.


While the brain is ruled to a large extent by chemical neurotransmitters, it is also a bioelectric organ. The collective study of Quantitative ElectroEncephaloGraphs (QEEG-the conversion of brainwaves to digital form to allow for comparison between neurologically normative and dysfunctional individuals), Event Related Potentials (ERPs - electrophysiological response to stimulus) and Neurotherapy (the process of actually retraining brain processes to) offers a window into brain physiology and function via computer and statistical analyses of traditional EEG patterns, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior.

The volume provides detailed description of the various EEG rhythms and ERPs, the conventional analytic methods such as spectral analysis, and the emerging method utilizing QEEG and ERPs. This research is then related back to practice and all existing approaches in the field of Neurotherapy - conventional EEG-based neurofeedback, brain-computer interface, transcranial Direct Current Stimulation, and Transcranial Magnetic Stimulation - are covered in full. Additionally, software for EEG analysis is provided on a companion web site so that the theory can be practically utilized on the spot, and a database of the EEG algorithms described in the book can be combined with algorithms uploaded by the user in order to compare dysfunctional and normative data.

While it does not offer the breadth provided by an edited work, this volume does provide a level of depth and detail that a single author can deliver, as well as giving readers insight into the personal theories of one of the preeminent leaders in the field.



Neuropsychologists and clinical psychologists seeking new methods to assess brain fucntion and dysfunction and treatment of disorders.

Secondary:Advanced neuroscience students studying brain function; neurologists and psychiatrists seeking alternative diagnostic/treatment tools.

New!Functional Neuromarkers for Psychiatry

1st Edition, Applications for Diagnosis and Treatment

The detailed summary is now available exclusively to  our members - a  courtesy of Prof. Yury Kropotov.
Please register as a member before following the link!

New book summary

This cutting edge book explores, in detail, the brain pattern biomarkers for psychiatric and neurologic disorders and how they can be used in diagnosis, determining personalized neurotherapy, and monitoring treatment results. Focuses on the analysis of EEG and ERP, and covers the functional neuromarkers for ADHD, schizophrenia, and obsessive-compulsive disorder.

Overview :

Key Features

  • Identifies specific brain activation patterns that are neuromarkers for psychiatric disorders
  • Includes neuromarkers as seen via fMRI, PET, qEEG, and ERPs
  • Addresses neuromarkers for ADHD, schizophrenia, and OCD in detail
  • Provides information on using neuromarkers for diagnosis and/or personalized treatment


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.


Psychiatrists, neuroscientists, researchers in clinical psychology and neurology

Table of Content


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

© Brain Mind & Memory Institute
Powered by Wild Apricot Membership Software