Abstract
Objective: Epilepsy affects more than 50 million people globally, with low- and middle-income countries (LMICs) bearing the greatest burden due to limited medical resources and stigma. Electroencephalography (EEG) is a cost-effective diagnostic tool, but its interpretation often requires unavailable expertise in rural areas. There is a pressing need for reliable, quantitative EEG biomarkers to enhance diagnosis, guide imaging, and monitor treatment. Methods: We investigated paroxysmal slow wave events (PSWEs), transient markers of cortical network slowing, in scalp EEG recordings from epilepsy patients at the Kakumbi Rural Health Center in Zambia (n = 127) and from Bonn Epilepsy Center (n = 132). PSWE characteristics, including occurrence, duration, and spatial distribution, were analyzed. Source localization of PSWEs was performed using standardized low-resolution brain electromagnetic tomography software. Results: PSWEs were observed in all patients with epilepsy. Time in PSWE showed negative correlation with patient age (r = −.26, p =.003) and disease onset (r = −.25, p =.005), regardless of age. PSWE characteristics, including temporal and spatial distribution, were associated with disease severity and similar to drug-resistant patients from Bonn Epilepsy Center. EEGs reported as “abnormal” had greater time in PSWE compared with “normal” EEGs (p =.024). Focal PSWE source localization suggested the presence of an intracranial lesion on computed tomography (area under the curve =.7). Significance: This study supports previous research on the potential of PSWEs as a quantitative EEG biomarker in epilepsy. Automated analysis of PSWEs can enhance diagnostic accuracy and assist in screening patients for brain imaging, particularly in resource-constrained settings. This approach offers a practical solution to bridge the diagnostic gap in LMICs that can potentially be used to improve epilepsy management and patient outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 4869-4880 |
| Number of pages | 12 |
| Journal | Epilepsia |
| Volume | 66 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2025 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.
Keywords
- biomarker
- computerized tomography
- electroencephalogram
- epilepsy
- paroxysmal slow wave events
- rural Zambia
- sLORETA
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