Abstract:
The paper describes a recently emerged HBI (Human Brain Index) methodology of extracting functional neuromarkers from spontaneous resting state EEG, from multi- channel event-related potentials (ERPs, by definition, ERPs are scalp recorded voltage fluctuations that are time-locked to an event, sensory or motor) and application of this methodology in clinical practice. The methodology includes methods of independent component analysis (ICA) for artifact correcting, methods of blind sources separation (ICA, a joint diagonalization of covariance matrixes, PARAFAC etc.) for extracting latent (hidden) components from resting state EEG and from group event-related potentials, methods for constructing normative (a thousand of healthy subjects) and patient (thousands of patients with psychiatric and neurological conditions) databases, methods for comparing the extracted individual parameters with the normative data, as well methods for pre-post comparison. Functional association of the latent components in the cued GO/NOGO task with operations of cognitive control such as working memory, context updating, conflict detection and monitoring, action inhibition are discussed. In addition, the functional meaning of the common ERP waves (N1, N170, P3a, P3b, N2 NOGO, P3 NOGO), their heterogeneity and age dynamics is reviewed. The high level of specificity and sensitivity for defining dysfunctions in ADHD, schizophrenia, ASD, and OCD is described. The paper also presents the ways of application of the methodology for predicting clinical outcome in response to pharmacological medication (ADHD medication by Ritalin as an example), for constructing protocols of neurofeedback, tDCS (transcranial Direct Current Stimulation), TMS (Transcranial Magnetic Stimulation) in clinical population. A review of the recent studies is presented. The author will share his 15 years of experience (including hardware and software requirements, educational courses, supervision etc.) of applying the HBI methodology in clinical practice. An example of a report based on HBI methodology with analysis of spontaneous EEG, event-related potentials and recommendations for neurotherapy will be given to attendees.
Presented by: Dr. Yury Kropotov
