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Developmental atlas of phase-amplitude coupling between physiologic high-frequency oscillations and slow waves

Author

Listed:
  • Kazuki Sakakura

    (Wayne State University
    Rush University Medical Center
    University of Tsukuba)

  • Naoto Kuroda

    (Wayne State University
    Tohoku University Graduate School of Medicine)

  • Masaki Sonoda

    (Wayne State University
    Yokohama City University)

  • Takumi Mitsuhashi

    (Wayne State University
    Juntendo University)

  • Ethan Firestone

    (Wayne State University
    Wayne State University)

  • Aimee F. Luat

    (Wayne State University
    Wayne State University
    Central Michigan University)

  • Neena I. Marupudi

    (Wayne State University)

  • Sandeep Sood

    (Wayne State University)

  • Eishi Asano

    (Wayne State University
    Wayne State University)

Abstract

We investigated the developmental changes in high-frequency oscillation (HFO) and Modulation Index (MI) – the coupling measure between HFO and slow-wave phase. We generated normative brain atlases, using subdural EEG signals from 8251 nonepileptic electrode sites in 114 patients (ages 1.0–41.5 years) who achieved seizure control following resective epilepsy surgery. We observed a higher MI in the occipital lobe across all ages, and occipital MI increased notably during early childhood. The cortical areas exhibiting MI co-growth were connected via the vertical occipital fasciculi and posterior callosal fibers. While occipital HFO rate showed no significant age-association, the temporal, frontal, and parietal lobes exhibited an age-inversed HFO rate. Assessment of 1006 seizure onset sites revealed that z-score normalized MI and HFO rate were higher at seizure onset versus nonepileptic electrode sites. We have publicly shared our intracranial EEG data to enable investigators to validate MI and HFO-centric presurgical evaluations to identify the epileptogenic zone.

Suggested Citation

  • Kazuki Sakakura & Naoto Kuroda & Masaki Sonoda & Takumi Mitsuhashi & Ethan Firestone & Aimee F. Luat & Neena I. Marupudi & Sandeep Sood & Eishi Asano, 2023. "Developmental atlas of phase-amplitude coupling between physiologic high-frequency oscillations and slow waves," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42091-y
    DOI: 10.1038/s41467-023-42091-y
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    References listed on IDEAS

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    1. G. Arnulfo & S. H. Wang & V. Myrov & B. Toselli & J. Hirvonen & M. M. Fato & L. Nobili & F. Cardinale & A. Rubino & A. Zhigalov & S. Palva & J. M. Palva, 2020. "Long-range phase synchronization of high-frequency oscillations in human cortex," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    2. Miguel Navarrete & Catalina Alvarado-Rojas & Michel Le Van Quyen & Mario Valderrama, 2016. "RIPPLELAB: A Comprehensive Application for the Detection, Analysis and Classification of High Frequency Oscillations in Electroencephalographic Signals," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-27, June.
    3. Eric-Jan Wagenmakers & Alexandra Sarafoglou & Balazs Aczel, 2022. "One statistical analysis must not rule them all," Nature, Nature, vol. 605(7910), pages 423-425, May.
    4. Hui Zhang & Juergen Fell & Nikolai Axmacher, 2018. "Electrophysiological mechanisms of human memory consolidation," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
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