PT - JOURNAL ARTICLE AU - Aleksandra Kuznetsova AU - Elena Krugliakova AU - Alexei Ossadtchi TI - Localizing hidden regularities with known temporal structure in the EEG evoked response data AID - 10.1101/093922 DP - 2016 Jan 01 TA - bioRxiv PG - 093922 4099 - http://biorxiv.org/content/early/2016/12/14/093922.short 4100 - http://biorxiv.org/content/early/2016/12/14/093922.full AB - In this paper we describe a novel data driven spatial filtering technique that can be applied to the ERP analysis in order to find statistically significant hidden differential activations in the EEG data. The technique is based on the known morphological characteristics of the response. Underlying optimization problem is formulated as a generalized Rayleigh quotient maximization problem. We supply our tech-nique with a relevant randomization-based statistical test to assess the significance of the discovered phenomenon. Furthermore, we describe an application of the proposed method to the EEG data acquired in the study devoted to the analysis of the auditory neuroplasticity. We show how the mismatch negativity component, a tiny and short-lasting negative response that hallmarks the novel stimuli activating primary error-detection mechanisms, can be detected after filtration.