EEG-based connectivity in patients with partial seizures with and without generalization.

Area of Science:

• Neuroscience
• Epileptology
• Computational Neuroscience

Background:

• Secondary generalization of partial epileptic seizures is a critical clinical concern.
• Understanding the neurophysiological underpinnings of seizure generalization is crucial for developing targeted therapies.

Purpose of the Study:

• To investigate the neurophysiological basis of secondary generalization in partial epileptic seizures.
• To identify differences in inter-ictal electroencephalography functional connectivity (EEGfC) associated with secondary generalized seizures.

Main Methods:

• Evaluated inter-ictal, resting-state EEG functional connectivity (EEGfC) using LORETA Source Correlation (LSC) software.
• Analyzed 3-minute waking EEG background activity across 23 cortical regions in 1 Hz bandwidths (1-25 Hz).
• Compared EEGfC between patient groups with varying seizure types (simple partial, complex partial, secondary generalized) using t-tests and FDR correction.

Main Results:

• Found statistically significant EEGfC differences between patient groups at specific frequencies.
• Observed increased coupling between motor cortices and non-motor areas in patients with secondary generalized seizures.
• Identified enhanced coupling between medial parietal-occipital areas and lateral hemispheric regions.

Conclusions:

• Increased inter-ictal EEGfC is associated with the habitual occurrence of secondary generalized seizures.
• Altered brain network connectivity may predispose individuals to seizure generalization.