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Presesnter: Professor, d.h.c Juri Kropotov
The paper describes a recently emerged methodology of extracting functional neuromarkers from spontaneous multi-channel EEG, event-related de/synchronization, and event-related potentials (ERP). The methodology includes methods of blind source separation for artifact correcting and extracting latent (hidden) components from resting state EEG and from event-related potentials, methods for constructing normative and patient databases, for comparing the extracted individual parameters with the normative data, as well for pre-post comparison. The high test-retest reliability of neuromarkers, the high level of specificity and sensitivity for defining dysfunctions in ADHD, schizophrenia, OCD, autism, depression, and dementia are described. Application of the methodology for predicting clinical outcome in response to pharmacological medication, for constructing protocols of neurofeedback, tDCS (transcranial Direct Current Stimulation) and TMS (transcranial magnetic stimulation) in clinical population is presented.