Analysis of Interictal EEG Signal Correlations for Diagnostics of Epilepsy

Demin, Sergey; Panischev, O. Yu.; Timashev, S. F.; Latypov, R. R.

doi:10.3103/s1062873820110088

Cited by 6 publications

(1 citation statement)

References 12 publications

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“…The methods of statistical analysis being developed: the Memory Functions Formalism and Flicker-Noise Spectroscopy, as well as the numerical algorithms and procedures obtained within their framework for calculating parameters, characteristics, and graphical dependencies, are based on the author's theoretical concepts and applied results in the field of nonequilibrium statistical physics, as well as physics of complex systems [25,26]. The physics of complex systems is aimed at finding physical patterns in describing the behavior and properties of complex systems.…”

Section: Discussionmentioning

confidence: 99%

The development of statistical analysis methods for the study of correlations and statistical memory effects in the recorded data of physical experiments

Demin

Yunusov

2022

J. Phys.: Conf. Ser.

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In this paper, we discuss the prospects for the use of statistical analysis methods in the study of correlations and statistical memory effects in the experimental data of physical experiments. Developed methods under consideration: Memory Functions Formalism and Flicker-Noise Spectroscopy allow obtaining a large set of quantitative parameters and qualitative characteristics directly from temporal signals generated by complex physical systems. Additionally, for the study of collective phenomena and effects, one- and two-parameter cross-correlation functions are proposed, which allow studying cross-correlations between simultaneously recorded signals in spatially separated areas of the object under study. The introduced analytical relations and numerical algorithms can be applied to solve the problems of metrology of surface structures at the nano- and microlevels, to study collective phenomena in the plasma of astrophysical objects, the structure of molecules, and their complexes.

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Section: Discussionmentioning

confidence: 99%

The development of statistical analysis methods for the study of correlations and statistical memory effects in the recorded data of physical experiments

Demin

Yunusov

2022

J. Phys.: Conf. Ser.

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Role of coupling distances in a coupled thalamocortical network in the treatment of epilepsy

Pan

Zhang

Chai

2022

Journal of Theoretical Biology

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The search for statistical patterns of pathological activity in human EEG signals in focal epilepsy

Yunusov

Demin

Panischev

et al. 2021

J. Phys.: Conf. Ser.

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Modern data science faces a lot of challenges, one of which is the search for diagnostic criteria for neurological diseases. New methods of statistical analysis are actively applied in the field of biophysics to solve this issue. In this paper we apply the Memory Functions Formalism to analyze electroencephalogram signal recordings in the sleeping state of 8 healthy subjects and 19 patients with nocturnal lobe epilepsy. We observe the considerable difference of statistical memory effects and fractal properties at the pathology in comparison with the control group. Furthermore, we reveal significant alterations in brain rhythms at power spectra of statistical memory functions for two groups of subjects. As a result, we show that the application of the statistical analysis methodology of bioelectrical brain cortex activity recordings, after appropriate verification, can be useful in the search for diagnostic criteria of nocturnal frontal lobe epilepsy.

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Analysis of Interictal EEG Signal Correlations for Diagnostics of Epilepsy

Cited by 6 publications

References 12 publications

The development of statistical analysis methods for the study of correlations and statistical memory effects in the recorded data of physical experiments

The development of statistical analysis methods for the study of correlations and statistical memory effects in the recorded data of physical experiments

Role of coupling distances in a coupled thalamocortical network in the treatment of epilepsy

The search for statistical patterns of pathological activity in human EEG signals in focal epilepsy

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