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Analysis and modeling of time-variant amplitude–frequency couplings of and between oscillations of EEG bursts

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Abstract

Low-frequency (0.5–2.5 Hz) and individually defined high-frequency (7–11 or 8–12 Hz; 11–15 or 14–18 Hz) oscillatory components of the electroencephalogram (EEG) burst activity derived from thiopental-induced burst-suppression patterns (BSP) were investigated in seven sedated patients (17–26 years old) with severe head injury. The predominant high-frequency burst oscillations (>7 Hz) were detected for each patient by means of time-variant amplitude spectrum analysis. Thereafter, the instantaneous envelope (IE) and the instantaneous frequency (IF) were computed for these low- and high-frequency bands to quantify amplitude–frequency dependencies (envelope–envelope, envelope–frequency, and frequency–frequency correlations). Time-variant phase-locking, phase synchronization, and quadratic phase couplings are associated with the observed amplitude–frequency characteristics. Additionally, these time-variant analyses were carried out for modeled burst patterns. Coupled Duffing oscillators were adapted to each EEG burst and by means of these models data-based burst simulations were generated. Results are: (1) strong envelope–envelope correlations (IE courses) can be demonstrated; (2) it can be shown that a rise of the IE is associated with an increase of the IF (only for the frequency bands 0.5–2.5 and 7–11 or 8–12 Hz); (3) the rise characteristics of all individually averaged envelope–frequency courses (IE–IF) are strongly correlated; (4) for the 7–11 or 8–12 Hz oscillation these associations are weaker and the variation between the time courses of the patients is higher; (5) for both frequency ranges a quantitative amplitude–frequency dependency can be shown because higher IE peak maxima are accompanied by stronger IF changes; (6) the time range of significant phase-locking within the 7–11 or 8–12 Hz frequency bands and of the strongest quadratic phase couplings (between 0.5–2.5 and 7–11 or 8–12 Hz) is between 0 and 1,000 ms; (7) all phase coupling characteristics of the modeled bursts accord well with the corresponding characteristics of the measured EEG burst data. All amplitude–frequency dependencies and phase locking/coupling properties described here are known from and can be discussed using coupled Duffing oscillators which are characterized by autoresonance properties.

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Authors and Affiliations

  1. Institute of Medical Statistics, Computer Sciences and Documentation, Medical Faculty of the Friedrich Schiller University Jena, 07740, Jena, Germany

    Herbert Witte, Peter Putsche, Claudia Hemmelmann & Lutz Leistritz

  2. Bernstein Group for Computational Neuroscience Jena, Medical Faculty of the Friedrich Schiller University Jena, 07740, Jena, Germany

    Herbert Witte, Peter Putsche, Claudia Hemmelmann & Lutz Leistritz

  3. Clinic of Anaesthesiology and Intensive Care, Medical Faculty of the Friedrich Schiller University Jena, 07740, Jena, Germany

    Christoph Schelenz

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  1. Herbert Witte
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  2. Peter Putsche
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  3. Claudia Hemmelmann
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  4. Christoph Schelenz
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  5. Lutz Leistritz
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Correspondence to Herbert Witte.

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Witte, H., Putsche, P., Hemmelmann, C. et al. Analysis and modeling of time-variant amplitude–frequency couplings of and between oscillations of EEG bursts. Biol Cybern 99, 139–157 (2008). https://doi.org/10.1007/s00422-008-0245-x

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  • DOI: https://doi.org/10.1007/s00422-008-0245-x

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