Resting-State SEEG May Help Localize Epileptogenic Brain Regions

Area of Science:

• Neuroscience
• Computational Neuroscience
• Epilepsy Research

Background:

• Stereotactic electroencephalography (SEEG) is crucial for localizing epilepsy foci.
• Current SEEG methods require prolonged hospitalization and seizure induction for accurate localization.

Purpose of the Study:

• To develop network analysis methods for identifying epileptogenic brain regions.
• To utilize brief, resting-state SEEG data segments, eliminating the need for seizure recordings.

Main Methods:

• Analyzed functional connectivity (alpha-band imaginary coherence) in brief (2 min) resting-state SEEG data from 15 epilepsy patients.
• Employed bootstrapped logistic regression to build a predictive model for region epileptogenicity.

Main Results:

• Epileptogenic regions showed increased functional connectivity within and between structures compared to non-epileptogenic regions.
• Higher clustering coefficient and betweenness centrality were observed in epileptogenic areas.
• The predictive model achieved an area under the curve of 0.78 and 80.4% accuracy.

Conclusions:

• This research is a preliminary step in using resting-state SEEG functional connectivity to localize epilepsy foci.
• The findings suggest potential for improved pre-neurosurgical planning by identifying epileptogenic zones without induced seizures.