Development of the EEG and Genetic Module for the ICBrainDB Experimental Database to Search for Depressive Disorder Markers

Depression is a mental disorder, with predisposition largely depending on genetic factors. However, analysis of individual mutations does not reliably predict the predisposition to depression. To solve this problem, two approaches are used - a comprehensive analysis of mutations simultaneous in neurotransmitter brain systems for the same control participants and patients. The module contains EEG recordings processed and cleared of artifacts, as well as the amplitudes of the event-related potentials over 128 recording channels. The module also contains results of many genes, and the use of not only genetic, but also neurophysiological methods for searching for disorder markers. Previously, the ICBrainDB database was developed, which contains both neurophysiological and genetic data on healthy people and patients with depression. As a part of the project to create this database, was developed a new module that allows to analyze the data of event-related potentials recorded in healthy people and patients with depression during performance of “Stop Signal Paradigm” task, and at the same time, SNP analysis data on 164 gene loci of evaluation of genetic loci for presence or absence of single nucleotide substitutions. Preliminary analysis of the data using multivariate statistics revealed some neurophysiological markers and a set of mutations associated with the risk of depression. In addition, the analysis of the occurrence of mutations in different groups of healthy people made it possible to classify them by region of residence. The developed module will further identify associations between genetic and neurophysiological markers of depression, which is likely to improve existing methods for early diagnosis of this disorder.