EEG Correlates of the Human Brain Biological Age

The biological age of the brain may differ from the calendar age. Such deviations can be regarded as a measure of brain health and can be used as predictors of the risk and progression rate for age-related diseases, which can help clinicians to design an adequate prevention and treatment trajectory for patients with these pathologies. The aim of the present study was to identify neurophysiological markers that allow to infer the biological age of the subject's brain by indices of EEG evoked potentials to visual and auditory stimuli in virtual reality. The study involved 54 healthy volunteers divided into five age groups. Analysis of EEG data revealed statistically significant differences in visual P300 component of event-related potentials between age groups I and IV, and also between age groups I and V in the parietal electrodes. The conducted experimental study demonstrates the opportunity to use P300 wave on deviant visual stimuli in multisensory virtual reality as a valid neurophysiological marker of the human brain biological age.