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Updated: May 29, 2025
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
Increase in EEG functional connectivity and power during wakefulness in self-limited epilepsy with centrotemporal
David Garnica-Agudelo1, Stuart D W Smith2, Daniel van de Velden1
1Department of Neurology, University Medical Center, Georg-August University, Göttingen, Germany.
Insights
Children with Self-limited Epilepsy with Centrotemporal Spikes (SeLECTS) show altered brain activity and connectivity, even without seizures. These changes are more significant with seizure events and in earlier stages of the condition.
Area of Science:
- Neuroscience
- Epilepsy Research
- Pediatric Neurology
Background:
- Self-limited Epilepsy with Centrotemporal Spikes (SeLECTS) is a common childhood epilepsy syndrome.
- Understanding the underlying neurophysiological alterations in SeLECTS is crucial for disease management.
- Resting-state electroencephalography (EEG) provides insights into brain network function.
Purpose of the Study:
- To investigate resting-state power and functional connectivity (FC) in children with SeLECTS.
- To compare brain activity between SeLECTS patients and healthy controls.
- To explore the impact of interictal epileptiform discharges (IEDs) and disease duration on brain networks.
Main Methods:
- Retrospective analysis of EEG data from 37 children with SeLECTS and 34 controls.
- Source-reconstructed resting-state EEG data analyzed for power and weighted phase lag index (wPLI).
- Comparison of epochs with and without IEDs, and across different disease durations.
Main Results:
- SeLECTS patients exhibited increased power across widespread brain regions compared to controls.
- Epochs without IEDs showed altered FC in SeLECTS patients (beta band increases, theta band decreases).
- Epochs with IEDs demonstrated further FC increases in delta band; recent-onset and longer-duration cases showed distinct FC patterns.
Conclusions:
- Children with SeLECTS display atypical power and FC patterns during wakefulness, independent of IEDs.
- These abnormalities are more pronounced during IEDs and in recent-onset cases, suggesting a link to disease progression.
- Findings offer insights into SeLECTS evolution and the role of IEDs in brain network disruption.
Objective:
Examine power and functional connectivity (FC) in children with Self-limited Epilepsy with Centrotemporal Spikes (SeLECTS) during resting-state.
Methods:
We retrospectively analyzed 37 children with SeLECTS and 34 matched controls. Fifty seconds of awake resting-state source-reconstructed EEG per subject were selected to compare groups using power and weighted phase lag index (wPLI). We compared patients' epochs with and without interictal epileptiform discharges (IEDs) between each other and to controls' epochs. Additionally, we compared epochs without IEDs from recent-onset SeLECTS and longer-duration SeLECTS patients between each other and to controls' epochs.
Results:
SeLECTS patients demonstrated widespread and significant power increases compared to controls. FC analyses of epochs without IEDs revealed predominantly left-sided increases in the beta band and decreases in theta band compared to controls. In epochs with IEDs, there were further FC increases in the delta band compared to epochs without IEDs located in bilateral fronto-centrotemporal regions. Patients with recent-onset SeLECTS had significant bilateral temporo-parietal FC increases in beta1 relative to controls. Patients with longer-duration SeLECTS showed significant left centrotemporal FC increases in beta and bilateral centrotemporal decreases in delta compared to controls.
Conclusions:
SeLECTS patients exhibit atypical power and FC patterns during wakefulness, even in epochs without IEDs. These were more pronounced in recent-onset cases and epochs with IEDs, suggesting an association between IEDs frequency and the disease course.
Significance:
Studying power and FC abnormalities in children with SeLECTS provides insight into disease evolution and the influence of IEDs on brain networks.
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