Spectral analysis of sleep EEG in patients with chronic disorders of consciousness by multitaper discrete Fourier transform

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Abstract

Background. In recent years, EEG spectral analysis has become increasingly popular due to the development of computer technologies. Among the methods of spectral analysis, various variants of the window Fourier transform are most often used, taking into account the non-stationary nature of the EEG signal.

Aims: study of the spectral composition of sleep EEG in patients with chronic disorders of consciousness by the method of discrete Fourier transform with windows in the form of spheroidal sequences.

Methods. In this article, the spectral composition of the sleep EEG of 32 patients with impaired consciousness was studied using a discrete Fourier transform with windows in the form of spheroidal sequences. For spectral analysis of EEG sleep, we used polysomnography data obtained overnight. To construct hypnospectrograms, visualize data and research results, we used software written in the Python programming language using the NumPy, scipy, matplotlib, mne, yasa libraries.

Results. The correlations between characteristic changes in the spectral composition of sleep EEG and the level of consciousness and the etiology of the disease were detected.

Conclusions. Consolidation of sleep and normalization of other circadian rhythms is an important component of both the somatic state of patients in intensive care and, possibly, will become a therapeutic target for the restoration of cognition in patients with chronic impairment of consciousness.

About the authors

Mikhail M. Kanarskii

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Author for correspondence.
Email: kanarmm@yandex.ru
ORCID iD: 0000-0002-7635-1048
SPIN-code: 1776-1160
Russian Federation, 777, Building 1, Lytkino, Moscow region

Iuliia Y. Nekrasova

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology; Moscow Aviation Institute (National Research University)

Email: nekrasova84@yandex.ru
ORCID iD: 0000-0002-4435-8501
SPIN-code: 8947-4230

Ph.D.

Russian Federation, 25-2, Petrovka street, Moscow, 107031; 4, Volokolamskoe shosse, Moscow, 125993

Ilya V. Borisov

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: realzel@gmail.com
ORCID iD: 0000-0002-5707-118X
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Dmitry S. Yankevich

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: yanson_d@mail.ru
ORCID iD: 0000-0001-5143-7366
SPIN-code: 6506-8058

Ph.D

Russian Federation, 25-2, Petrovka street, Moscow, 107031

Dmitry L. Kolesov

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: kolesov@fnkcrr.ru
ORCID iD: 0000-0002-8450-5211
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Oleg B. Lukyanets

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: lucyanec@fnkcrr.ru
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Kirill M. Gorshkov

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: kolesov@fnkcrr.ru
ORCID iD: 0000-0002-5443-2330
SPIN-code: 5991-9705
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Nadezhda P. Shpichko

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: shpicko@fnkcrr.ru
ORCID iD: 0000-0003-3289-6107
SPIN-code: 5092-0536
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Tatyana N. Krylova

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: Krylova@fnkcrr.ru
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Nadezhda Y. Kovaleva

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: kovalevanu@fnkcrr.ru
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Oleg Y. Lutkin

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: lutkin@fnkcrr.ru
Russian Federation, 25-2, Petrovka street, Moscow, 107031

Vitaly V. Evstifeev

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: evstifeev@fnkcrr.ru
Russian Federation, 25-2, Petrovka street, Moscow, 107031

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Supplementary files

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2. Fig. 1. An example of a hypnogram built according to the R&K method

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3. Fig. 2. Spectrogram of night sleep (hypnospectrogram) of a healthy volunteer

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4. Fig. 3. Scheme of applying the discrete Fourier transform using Slepyan sequences

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5. Fig. 4. Demographic data of the study participants: A - distribution of patients by the level of consciousness, B - distribution of patients by etiology. Note. VS - vegetative state, SMS + / SMS- - the state of minimal consciousness plus / minus, CVA - acute cerebrovascular accident, POV - the consequences of surgery, APGM - anoxic brain damage, SAH - subarachnoid hemorrhage.

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6. Fig. 5. A three-hour fragment of a hypnospectrogram of a healthy volunteer

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7. Fig. 6. Six-hour fragment of the monophasic spectrum of patient 3

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8. Fig. 7. Six-hour fragment of the biphasic spectrum of the patient 13

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9. Fig. 8. Sixteen-hour fragment of the patient's three-phase spectrum 18

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Copyright (c) 2020 Kanarskii M.M., Nekrasova I.Y., Borisov I.V., Yankevich D.S., Kolesov D.L., Lukyanets O.B., Gorshkov K.M., Shpichko N.P., Krylova T.N., Kovaleva N.Y., Lutkin O.Y., Evstifeev V.V.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
 


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