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Decrease in phase slip rates and phase cone structures during seizure evolution and epileptogenic activities derived

Ceon Ramon1,2, Alexander Doud3, Mark D Holmes2

  • 1Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, 98195, USA.

Current Research in Neurobiology
|April 15, 2024
PubMed
Summary
This summary is machine-generated.

Sudden phase changes in brain activity, specifically phase cones, may serve as biomarkers for tracking seizure evolution and understanding epileptic events. This research analyzed micro-ECoG data to identify these dynamic patterns.

Keywords:
EEG phase conesEEG time series analysisMicrogrid EEGPhase slipsPhase transitionsSeizure localization

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Area of Science:

  • Neuroscience
  • Epilepsy Research
  • Signal Processing

Background:

  • Cortical phase transitions are linked to sudden phase changes in brain activity.
  • These transitions likely alter in frequency and spatial distribution during evolving epileptogenic activity.

Purpose of the Study:

  • To investigate the role of sudden phase changes and phase cone formation in seizure evolution.
  • To analyze micro-ECoG data for dynamic patterns related to epileptogenic events.

Main Methods:

  • Analysis of micro-ECoG data (100s pre-seizure and during seizure, plus nine other epileptic events).
  • Data processing included downsampling (420 Hz to 200 Hz), filtering (1-50 Hz), and Hilbert transform for phase computation.
  • Calculation of phase slip rate and acceleration using a 1-s window with a 5 ms step size across theta, alpha, and beta bands.
  • Construction of spatiotemporal contour plots of phase slip rates.

Main Results:

  • Phase slip rate in the theta band decreased, while it increased in alpha and beta bands during seizures and epileptic events.
  • Spatiotemporal plots revealed dynamic, oscillatory phase cone structures, more prominent in the theta band during seizure periods.

Conclusions:

  • Phase cone formation appears to be a significant biomarker for studying seizure evolution.
  • These findings offer insights into the cortical dynamics of isolated epileptogenic events.