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Welcome to a Fundamental Change in Brain Function Assessment: the HBI Database
The HBI Database is a revolutionary tool enabling the professional to

  • Assess dysfunctions of brain systems
  • Construct protocol of individual treatments
  • Monitor drug effects
  • Predict medication response
  • EEG / ERP based Brain Diagnostics.

The Diagnostic and Statistical Manual – V (DSM – V) attempts to classify brain disorders according to biological markers, endophenotypes. The new approach assumes that diagnosis is made not only from behaviour, but from the knowledge of which brain system is impaired. The Quantitative EEG and components of Event-Related Potentials (ERPs) are considered the most effective biological markers.

We are facing a renaissance of EEG

There have been breakthrough discoveries in the neuronal mechanisms of EEG. However none of the new methods like LORETA (Low Resolution Electro Magnetic Tomography) are used in existing normative databases.

This flaw is resolved in a new database built upon the methodology developed in The Institute of the Human Brain (HBI) of the Russian Academy of Sciences and the Institute for Experimental Medicine of the Russian Academy of Medical Sciences. This has been recognized as a unique discovery in the field of human physiology.


The HBI Reference (normative) database includes multi-channel EEG recordings in the following groups:

  1. Children / Adolescents: age 7-17 (n=300)
  2. Adults: age 18-60 (n=500)
  3. Seniors: age 61+ (n=200)

A 19-channel EEG is recorded in 2 resting conditions with eyes open and closed, and 5 different task conditions. The characteristics of QEEG are normalized. Deviations are assessed by computing Z Scores – standardized measures of deviation of individual EEG parameters from the normative data.

Event – Related Potentials

These are brain responses to psychological tasks, and are decomposed into individual components. Comparing the latency and amplitude of the components with the normative data gives new insights into the different stages of information processing in patients.

In clinical settings, the HBI Database is a valuable resource for individualized treatment planning. For example, viewing the raw EEG data of a patient with ADHD does not reveal any abnormality; however, compression of the data into spectra and comparing with normative data shows statistically significant deviations from normality in certain areas. On the basis of this, treatment options can be suggested for the patient. Similarly comparison of ERPs with the database indicates what psychological operation is impaired, and how the dysfunction can be corrected.