Perceived seizure risk in epilepsy â€" Chronic electronic surveys with and without concurrent EEG.
Jie CuiIrena BalzekasEwan S NursePedro F VianaNicholas M GreggPhillipa J KarolyGregory A WorrellMark P RichardsonDean R FreestoneBenjamin H BrinkmanPublished in: medRxiv : the preprint server for health sciences (2023)
Long-term e-surveys data and concurrent EEG signals were collected across three study sites to assess the ability of the patients to self-forecast their seizures.Patients may tend to self-forecast self-reported seizures that occur in sequential groupings.Factors, such as mood and stress, may not be independent premonitory symptoms but may be the consequence of recent seizures.No ability to self-forecast EEG confirmed seizures was observed in a small cohort with concurrent EEG validation.A mathematic relation between OR and AUC provides a means to compare forecasting performance between survey and device studies.
Keyphrases
- end stage renal disease
- working memory
- newly diagnosed
- functional connectivity
- ejection fraction
- resting state
- chronic kidney disease
- cross sectional
- squamous cell carcinoma
- physical activity
- machine learning
- bipolar disorder
- depressive symptoms
- patient reported outcomes
- temporal lobe epilepsy
- electronic health record
- big data
- artificial intelligence
- stress induced