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Dataset Information

Interrater reliability of interictal EEG waveforms in Lennox-Gastaut Syndrome.


ABSTRACT:

Objective

Identification of EEG waveforms is critical for diagnosing Lennox-Gastaut Syndrome (LGS) but is complicated by the progressive nature of the disease. Here, we assess the interrater reliability (IRR) among pediatric epileptologists for classifying EEG waveforms associated with LGS.

Methods

A novel automated algorithm was used to objectively identify epochs of EEG with transient high power, which were termed events of interest (EOIs). The algorithm was applied to EEG from 20 LGS subjects and 20 healthy controls during NREM sleep, and 1350 EOIs were identified. Three raters independently reviewed the EOIs within isolated 15-second EEG segments in a randomized, blinded fashion. For each EOI, the raters assigned a waveform label (spike and slow wave, generalized paroxys

SUBMITTER: Hu DK 

PROVIDER: S-EPMC10839292 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature