Abstract
Identifying the pre-ictal state clinically would improve our understanding of seizure onset and suggest opportunities for new treatments. In our previous paper-diary study, increased stress and less sleep predicted seizures. Utilizing electronic diaries, we expanded this investigation. Variables were identified by their association with subsequent seizure using logit-normal random effects models fit by maximum likelihood. Nineteen subjects with localization-related epilepsy kept e-diaries for 12-14. weeks and reported 244 eligible seizures. In univariate models, several mood items and ten premonitory features were associated with increased odds of seizure over 12. h. In multivariate models, a 10-point improvement in total mood decreased seizure risk by 25% (OR 0.75, CI 0.61-0.91, p = 004) while each additional significant premonitory feature increased seizure risk by nearly 25% (OR 1.24, CI 1.13-1.35, p < 001) over 12. h. Pre-ictal changes in mood and premonitory features may predict seizure occurrence and suggest a role for behavioral intervention and pre-emptive therapy in epilepsy.
Original language | English (US) |
---|---|
Pages (from-to) | 415-421 |
Number of pages | 7 |
Journal | Epilepsy and Behavior |
Volume | 23 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2012 |
Keywords
- Electronic diary
- Localization-related epilepsy
- Pre-ictal
- Premonitory symptoms
- Prodrome
- Seizure diary
- Seizure precipitants
ASJC Scopus subject areas
- Neurology
- Clinical Neurology
- Behavioral Neuroscience