Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia
The human electroencephalogram (EEG) constitutes a nonstationary, nonlinear electrophysiological signal resulting from synchronous firing of neurons in thalamocortical structures of the brain. Due to the complexity of the brain's physiological structures and its rhythmic oscillations, analysis...
| Հիմնական հեղինակներ: | , , , , |
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| Ձևաչափ: | Journal article |
| Լեզու: | Russian English |
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V. A. Negovsky Research Institute of General Reanimatology
2021
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| _version_ | 1826304163727802368 |
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| author | Sobolova, G Fabus, MS Fischer, M Drobny, M Drobna-Saniova, B |
| author_facet | Sobolova, G Fabus, MS Fischer, M Drobny, M Drobna-Saniova, B |
| author_sort | Sobolova, G |
| collection | OXFORD |
| description | The human electroencephalogram (EEG) constitutes a nonstationary, nonlinear electrophysiological signal resulting from synchronous firing of neurons in thalamocortical structures of the brain. Due to the complexity of the brain's physiological structures and its rhythmic oscillations, analysis of EEG often utilises spectral analysis methods.
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Aim:</strong> to improve clinical monitoring of neurophysiological signals and to further explain basic principles of functional mechanisms in the brain during anaesthesia.
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Material and methods.</strong> In this paper we used Empirical Mode decomposition (EMD), a novel spectral analysis method especially suited for nonstationary and nonlinear signals. EMD and the related Hilbert-Huang Transform (HHT) decompose signal into constituent Intrinsic Mode Functions (IMFs). In this study we applied EMD to analyse burst-suppression (BS) in the human EEG during induction of general anaesthesia (GA) with propofol. BS is a state characterised by cyclic changes between significant depression of brain activity and hyper-active bursts with variable duration, amplitude, and waveform shape. BS arises after induction into deep general anaesthesia after an intravenous bolus of general anaesthetics. Here we studied the behaviour of BS using the burst-suppression ratio (BSR).
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Results.</strong> Comparing correlations between EEG and IMF BSRs, we determined BSR was driven mainly by alpha activity. BSRs for different spectral components (IMFs 1-4) showed differing rates of return to baseline after the end of BS in EEG, indicating BS might differentially impair neural generators of low-frequency EEG oscillations and thalamocortical functional connectivity.
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Conclusion. </strong>Studying BS using EMD represents a novel form of analysis with the potential to elucidate neurophysiological mechanisms of this state and its impact on post-operative patient prognosis. |
| first_indexed | 2024-03-07T06:13:37Z |
| format | Journal article |
| id | oxford-uuid:f05f4e06-3d17-4c61-bc52-53f1e2382aa1 |
| institution | University of Oxford |
| language | Russian English |
| last_indexed | 2024-03-07T06:13:37Z |
| publishDate | 2021 |
| publisher | V. A. Negovsky Research Institute of General Reanimatology |
| record_format | dspace |
| spelling | oxford-uuid:f05f4e06-3d17-4c61-bc52-53f1e2382aa12022-03-27T11:47:27ZInstantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesiaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f05f4e06-3d17-4c61-bc52-53f1e2382aa1RussianEnglishSymplectic ElementsV. A. Negovsky Research Institute of General Reanimatology2021Sobolova, GFabus, MSFischer, MDrobny, MDrobna-Saniova, BThe human electroencephalogram (EEG) constitutes a nonstationary, nonlinear electrophysiological signal resulting from synchronous firing of neurons in thalamocortical structures of the brain. Due to the complexity of the brain's physiological structures and its rhythmic oscillations, analysis of EEG often utilises spectral analysis methods. <br><strong> Aim:</strong> to improve clinical monitoring of neurophysiological signals and to further explain basic principles of functional mechanisms in the brain during anaesthesia. <br><strong> Material and methods.</strong> In this paper we used Empirical Mode decomposition (EMD), a novel spectral analysis method especially suited for nonstationary and nonlinear signals. EMD and the related Hilbert-Huang Transform (HHT) decompose signal into constituent Intrinsic Mode Functions (IMFs). In this study we applied EMD to analyse burst-suppression (BS) in the human EEG during induction of general anaesthesia (GA) with propofol. BS is a state characterised by cyclic changes between significant depression of brain activity and hyper-active bursts with variable duration, amplitude, and waveform shape. BS arises after induction into deep general anaesthesia after an intravenous bolus of general anaesthetics. Here we studied the behaviour of BS using the burst-suppression ratio (BSR). <br><strong> Results.</strong> Comparing correlations between EEG and IMF BSRs, we determined BSR was driven mainly by alpha activity. BSRs for different spectral components (IMFs 1-4) showed differing rates of return to baseline after the end of BS in EEG, indicating BS might differentially impair neural generators of low-frequency EEG oscillations and thalamocortical functional connectivity. <br><strong> Conclusion. </strong>Studying BS using EMD represents a novel form of analysis with the potential to elucidate neurophysiological mechanisms of this state and its impact on post-operative patient prognosis. |
| spellingShingle | Sobolova, G Fabus, MS Fischer, M Drobny, M Drobna-Saniova, B Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia |
| title | Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia |
| title_full | Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia |
| title_fullStr | Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia |
| title_full_unstemmed | Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia |
| title_short | Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia |
| title_sort | instantaneous eeg signal analysis based on empirical mode decomposition applied to burst suppression in propofol anaesthesia |
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