| Autor: |
Jiaqing Li, An-an Ping, Yalan Zhou, Tangfeng Su, Xiaoli Li, Sanqing Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Pediatrics, Vol 12 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2296-2360 |
| DOI: |
10.3389/fped.2024.1406772 |
| Popis: |
BackgroundWest syndrome (WS) is a devastating epileptic encephalopathy with onset in infancy and early childhood. It is characterized by clustered epileptic spasms, developmental arrest, and interictal hypsarrhythmia on electroencephalogram (EEG). Hypsarrhythmia is considered the hallmark of WS, but its visual assessment is challenging due to its wide variability and lack of a quantifiable definition. This study aims to analyze the EEG patterns in WS and identify computational diagnostic biomarkers of the disease.MethodLinear and non-linear features derived from EEG recordings of 31 WS patients and 20 age-matched controls were compared. Subsequently, the correlation of the identified features with structural and genetic abnormalities was investigated.ResultsWS patients showed significantly elevated alpha-band activity (0.2516 vs. 0.1914, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
