A library of quantitative markers of seizure severity (2022-06-30T00:00:00.000000Z)

TL;DR

A library of quantitative EEG markers that assess the spread and intensity of abnormal electrical activity during and after seizures is developed.

Abstract

Understanding fluctuations in seizure severity within individuals is important for determining treatment outcomes and responses to therapy, as well as assessing novel treatments for epilepsy. Current methods for grading seizure severity rely on qualitative interpretations from patients and clinicians. Quantitative measures of seizure severity would complement existing approaches to electroencephalographic (EEG) monitoring, outcome monitoring, and seizure prediction. Therefore, we developed a library of quantitative EEG markers that assess the spread and intensity of abnormal electrical activity during and after seizures.

Authors

B. Diehl

2 papers

Sarah J Gascoigne

1 papers

Leonard Waldmann

1 papers

TL;DR

Abstract

Authors

References66 items

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are both supported by UKRI Future Leaders Fellowships (MR/T04294X/1, MR/V026569/1)

Calculate the proportion of the duration distribution below the observed AUC for each marker

These results should be interpreted as evidence that our markers could be used ﬂuctuations in severity

conﬁrm that we have read the Journal’s position on issues that this report is consistent with those guidelines. of the authors has any conﬂict of interest to disclose. 2

Data curation: Jess Blickwedel

Shorthand: RP (model only uses random patient effects), FM (model uses only fixed marker effects), RI (model includes both fixed marker and random patient effects using random intercept

Steps 1 and 2 were repeated until 1000 non-Nan AUC values for each model type were computed. The two resultant distributions represented the performance of seizure duration in across-patient analyses

Software/validation: Leonard Waldmann and Yujiang Wang. Formal analysis

Created random intercept and random intercept and slope models based on seizure duration, and calculated AUC values for these models

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