Background:TAR syndrome represents an autosomal recessive syndrome with 25% recurrence risk for a sib. The hallmark of this disorder is absence of the radius with presence of a normal thumb and trombocytopenia.Material/Methods: Both coherence and the proposed method are computed from the same EEG segment across the EEG spectrum (0–64 Hz). In this experiment, five EEGs of different patients with severe brain damage were used. The novelty of this study lies in the fact that the autocorrelation coefficients are extracted in a particular spectrum, in contrast to the traditional coherence method, which is based on a measure of the square of the linear association between the two EEG signals from the entire EEG spectrum.Results: The results of the application of coherence and the proposed method showed that particular pairs of symmetrical cortex channels differed dramatically in specific damaged areas.Conclusions: Statistical analysis of the above results showed that the proposed method is more accurate than coherence because it could recognize the cases of the patients to a significant statistical degree, whereas the coherence method showed weakness in recognizing them.

Keywords: Algorithms, Brain - physiopathology, Brain Diseases - diagnosis, Brain Diseases - physiopathology, Electroencephalography - methods, Algorithms, Brain - physiopathology, Brain Diseases - physiopathology, Electroencephalography - methods