The use of the cross-correlation analysis in the search for diagnostic criteria for nocturnal frontal lobe epilepsy

Valentin A. Yunusov; Sergey A. Demin; Fail M. Gafarov

doi:10.1117/12.2625879

29 April 2022 The use of the cross-correlation analysis in the search for diagnostic criteria for nocturnal frontal lobe epilepsy

Valentin A. Yunusov, Sergey A. Demin, Fail M. Gafarov

Author Affiliations +

Proceedings Volume 12194, Computational Biophysics and Nanobiophotonics; 1219405 (2022) https://doi.org/10.1117/12.2625879
Event: XXV Annual Conference Saratov Fall Meeting 2021; and IX Symposium on Optics and Biophotonics, 2021, Saratov, Russian Federation

Abstract

Epilepsy is a neurological disease that leads its patients to suffer from seizures, which condition their behavior and lifestyle. Neurologists use an electroencephalogram (EEG) to diagnose this disease. This method of recording cerebral brain activity illustrates the signaling behavior of a person's brain, allowing, among other things, the diagnosis of epilepsy. In the presented study we investigate the possible applications of cross-correlation analysis in the framework of Memory Functions Formalism for the diagnosis of nocturnal frontal lobe epilepsy (NFLE). During the analysis we study statistical memory effects in bioelectric brain activity of 8 healthy subjects and 19 patients with NFLE. Furthermore, we discover different nature of the spectral behavior of EEG signals as well as the difference in the level of manifestation of the frequency-phase synchronization effects for the control group and the group of patients with epilepsy. Finally, we show that the application of the statistical analysis methodology of cross-correlations in bioelectrical brain cortex activity recordings, after additional verification, can be helpful in the problem of searching for diagnostic criteria of nocturnal frontal lobe epilepsy.

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Valentin A. Yunusov, Sergey A. Demin, and Fail M. Gafarov "The use of the cross-correlation analysis in the search for diagnostic criteria for nocturnal frontal lobe epilepsy", Proc. SPIE 12194, Computational Biophysics and Nanobiophotonics, 1219405 (29 April 2022); https://doi.org/10.1117/12.2625879

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KEYWORDS

Brain

Epilepsy

Statistical analysis

Diagnostics

Electroencephalography

Electrodes

Complex systems

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