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Related Experiment Video

Updated: Jan 10, 2026

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex
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Dynamic Stereoelectroencephalography-Based Phase-Amplitude Coupling in Cingulate Epilepsy.

M Rabiul Islam1, Juan C Bulacio1,2, William Bingaman1,2,3

  • 1Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA.

International Journal of Neural Systems
|November 26, 2025
PubMed
Summary
This summary is machine-generated.

Phase-amplitude coupling (PAC) offers a quantitative method to identify the seizure focus in cingulate epilepsy. This biomarker helps pinpoint the epileptogenic zone, improving surgical planning for patients with this challenging condition.

Keywords:
Phase–amplitude couplingcingulate epilepsyepilepsy surgerynetworksnonlinear dynamicssEEGstereoelectroencephalography

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Area of Science:

  • Neuroscience
  • Epileptology
  • Computational Neuroscience

Background:

  • Cingulate epilepsy presents localization challenges due to deep anatomical location and complex brain networks.
  • Stereoelectroencephalography (sEEG) provides detailed but often qualitatively interpreted data for deep brain structures.
  • Current interpretation of sEEG data is subjective, necessitating objective biomarkers for surgical planning.

Purpose of the Study:

  • To develop and validate a quantitative, biomarker-based framework for localizing the epileptogenic zone in cingulate epilepsy.
  • To investigate the utility of phase-amplitude coupling (PAC) as a biomarker for identifying seizure onset zones using sEEG data.
  • To differentiate between surgically treated and untreated contact sites based on PAC metrics.

Main Methods:

  • Utilized sEEG recordings from 25 seizures in four patients with cingulate epilepsy who achieved seizure freedom post-surgery.
  • Computed phase-amplitude coupling (PAC) values across multiple seizures during pre-ictal and ictal phases.
  • Employed wide-frequency and band-specific frequency coupling analyses, focusing on theta-beta ([Formula: see text]-[Formula: see text]) coupling.

Main Results:

  • Theta-beta ([Formula: see text]-[Formula: see text]) PAC demonstrated robust differentiation between surgically-treated and untreated sEEG contact sites.
  • Frequency-specific PAC metrics showed potential as quantitative biomarkers for epileptiform activity.
  • The framework provided objective insights into brain network dynamics during seizures.

Conclusions:

  • Frequency-specific PAC metrics can serve as a quantitative tool for mapping dynamic epileptiform activity in brain networks.
  • This approach offers objective insights to potentially refine surgical planning and decision-making in complex cingulate epilepsy cases.
  • PAC analysis represents a promising advancement in the objective interpretation of sEEG data for epilepsy surgery.