Auto- and cross-correlation patterns in the diagnosis of obsessive-compulsive disorder using electroencephalogram analysis

Abstract

In this work auto- and cross-correlation patterns in the diagnosis of obsessive-compulsive disorder are investigated. Analysis of electroencephalograms was made bythe author's method: Memory Functions Formalism. For autocorrelations, the subject of the study was the non-Markov parameter. The most informative electrodes were found for 30 subjects, in which the greatest difference was observed between the non-Markov parameter for the group of patients and conditionally healthy people. For cross-correlations,synchronization effects were investigated, which were significantly different for the patients and conditionally healthy group. The results obtained will be of interest to sciences such as data sciences, computational biophysics, physics of living systems and psychiatry.