Predictive value of functional MRI and EEG in epilepsy diagnosis after a first seizure

It is often difficult to predict seizure recurrence in subjects who have suffered a first-ever epileptic seizure. In this study, the predictive value of physiological signals measured using Electroencephalography (EEG) and functional MRI (fMRI) assessed. particular those patients developing epilepsy (i.e. second unprovoked seizure) that were initially evaluated as having low risk are interest.In total, 26 patients, which 8 converters), 17 with only single included. All underwent routine EEG well fMRI measurements. For diagnostic classification, features related temporal dynamics determined for both processed data. Subsequently, logistic regression classifier was trained on first-seizure subjects. The model tested clinically relevant converters group.The sensitivity, specificity, AUC (mean ± SD) including metrics from modalities 74 19%, 82 18%, 0.75 0.12, respectively. Positive negative values 84 14% 78 12%. Moreover, EEG/fMRI showed significant improvements compared clinical diagnosis, whereas models either or do not reach significance (p > 0.05).Temporal computationally derived time may aid synergistically improve sample.