We assessed the reliability and accuracy of scalp/sphenodial recordings for ictal localization by retrospectively analyzing 706 noninvasive ictal recordings from 110 patients who subsequently underwent stereoencephalographic evaluation. Strictly defined unilateral temporal/sphenoidal ictal patterns correctly predicted findings of depth electrode examination in 82 to 94% of cases. These strictly defined predictive patterns could be detected with excellent interrater reliability. The patterns are misleading in only a minority of cases, but cannot be used in isolation for definite ictal localization.

Youth with active epilepsy generally had the poorest QOL. Severe seizures and female sex were associated with more problems. Sex-severity interactions should be explored in future research.

One hundred fifty-three patients with medically refractory partial epilepsy underwent chronic stereotactic depth-electrode EEG (SEEG) evaluations after being studied by positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) and scalp-sphenoidal EEG telemetry. We carried out retrospective standardized reviews of local cerebral metabolism and scalp-sphenoidal ictal onsets to determine when SEEG recordings revealed additional useful information. FDG-PET localization was misleading in only 3 patients with temporal lobe SEEG ictal onsets for whom extratemporal or contralateral hypometabolism could be attributed to obvious nonepileptic structural defects. Two patients with predominantly temporal hypometabolism may have had frontal epileptogenic regions, but ultimate localization remains uncertain. Scalp-sphenoidal ictal onsets were misleading in 5 patients. For 37 patients with congruent focal scalp-sphenoidal ictal onsets and temporal hypometabolic zones, SEEG recordings never demonstrated extratemporal or contralateral epileptogenic regions; however, 3 of these patients had nondiagnostic SEEG evaluations. The results of subsequent subdural grid recordings indicated that at least 1 of these patients may have been denied beneficial surgery as a result of an equivocal SEEG evaluation. Weighing risks and benefits, it is concluded that anterior temporal lobectomy is justified without chronic intracranial recording when specific criteria for focal scalp-sphenoidal ictal EEG onsets are met, localized hypometabolism predominantly involves the same temporal lobe, and no other conflicting information has been obtained from additional tests of focal functional deficit, structural imaging, or seizure semiology.

We report results from the first part of an ongoing longitudinal study aimed at identifying the relative contributions of demographic, seizure, and family variables in the prediction of behavior problems in children with epilepsy. We studied 127 children with epilepsy aged 8-12 years and their mothers. Self-report questionnaires, interviews, and medical records were data sources. Backward and forward stepwise elimination procedures using multiple regression indicated five variables that contributed significantly to prediction of behavior problems: female gender, family stress, family mastery, extended family social support, and seizure frequency. These factors accounted for 29% (p < 0.001) of the variation in behavioral problems. Findings suggest that family variables are important correlates of behavior problems and should be considered in clinical management of children with epilepsy.

We report results from the first data collection on an ongoing longitudinal study aimed at describing the natural history of adaptation to childhood epilepsy and asthma in children and their families. We studied 136 children with epilepsy and 134 children with asthma aged 8-12 years. Data were collected from the children, their mothers, and their school teachers through interviews, school records, and questionnaires. The two samples were compared on four domains of quality of life: physical, psychological, social, and school. Data were analyzed by a 2 x 2 between-subjects multivariate analysis of covariance with type of illness (epilepsy or asthma) as the independent variable and length of time since onset of illness as a covariate. A significant main effect was noted for illness [multivariate F (15, 236) = 11.36, p < 0.001]. Our major finding was that children with epilepsy had a relatively more compromised quality of life in the psychological, social, and school domains. In contrast, children with asthma had a more compromised quality of life in the physical domain. Our findings suggest that attention simply to seizure control in the clinical setting will not address the full range of quality-of-life problems of children with epilepsy.

Summary:Purpose: Automated seizure detection and blockage requires highly sensitive and specific algorithms. This study reassessed the performance of an algorithm by using a more extensive database than that of a previous study and its suitability for safety/efficacy closed-loop studies to block seizures in humans.Methods: Up to eight electrocorticography (EcoG) channels from 15 subjects were analyzed off-line. Visual and computerized analyses of the data were performed by different (blinded) investigators. Independent visual analysis also was performed for clinical seizures and for detections identified only by the algorithm. The following were computed: FP rate, number of FNs, latency to automated detection, warning rate for clinical onset and warning times, seizure duration/intensity, and interrater agreement. Adaptations to improve performance were performed when indicated.Results: Fourteen subjects met inclusion criteria. Generic algorithm "relative sensitivity" for clinical seizures was 100%; two undetected subclinical seizures and two unclassified seizures were captured after adaptation. FPs/day were zero in seven and fewer than one in an additional three subjects. Adaptations for four subjects with greater than 1 FP/day (7.7-66.6/day) reduced the rate to 0 in one subject and to fewer than five FP/day (1.7-4.2/day) in the remainder. Generic latency to automated detection was <5 s in eight of 13 subjects, and in 12 of 13 after adaptation. Detections provided warning of clinical onset in three of four subjects in whom it always followed electrographic onset, and in four of four after adaptation. Interrater agreement was low for FPs and EDs.Conclusions: The generic algorithm demonstrated high sensitivity, specificity, and speed, characteristics further enhanced by adaptation. This algorithm is well suited for seizure detection/warning and use in safety/efficacy closed-loop therapy studies. Key Words: Real-time-Seizure-DetectionAlgorithm-Warning.The importance of automated real-time detection and quantitative analysis of seizures has been recognized by practitioners and researchers alike (1). To appreciate the role and potential contributions of this technology to the understanding of the dynamics of seizures and to the improvement of current therapies or discovery of new ones, the reader need only reflect on the history of cardiology. Through early and heavy reliance on automated signal-processing tools, algorithms for the automated detection and treatment of arrhythmias have been, for many years now, successfully implemented in implantable devices. The wide technologic gap between epileptology and cardiology is, in no small measure, due to the much higher dynamic complexity of the brain compared with that of the heart. This is reflected in the electrical signals each system generates and translates into increased operational and computational demands for any algorithm designed for seizure detection. The challenge is to develop algorithms that address the nonstationarity, high complexity, and interindividual...

We performed interictal [18F]fluorodeoxyglucose positron emission tomography (FDG PET) in 24 patients with partial epilepsy of neocortical origin. Two-thirds of patients had regions of hypometabolism. The zone of intracranially recorded electrographic ictal onset was always located in a region of hypometabolism, in those with hypometabolism. Hypometabolic regions in partial epilepsies of neocortical origin were usually associated with structural imaging abnormalities. Regional hypometabolism occasionally occurred without localizing ictal scalp EEG and cerebral magnetic resonance imaging findings, however. FDG PET may be useful in directing placement of intracranial electrodes for presurgical evaluation of refractory neocortical seizures.

Summary Purpose: To examine the role of the intracarotid amobarbital procedure (IAP) in the presurgical evaluation of patients with medically refractory localization‐related epilepsy. Methods: We retrospectively studied 111 patients who underwent cortical resective surgery at our center between 1991 and 1996. In patients with mesial temporal lobe epilepsy (mTLE), a presurgical determination of the epileptogenic zone was compared with localization based on IAP memory asymmetry scores, and with ultimate localization after resective surgery. In patients with neocortical or mesial frontal epilepsy, the IAP was evaluated for evidence of unilateral or bilateral poor memory performance. Results: Of 68 patients with mTLE localized by noninvasive tests, 60 had concordant lateralized memory deficits on IAP. Eight patients had lateralized memory deficits on IAP that were discordant with noninvasive tests and with localization as determined by surgical outcome. All 11 mTLE patients requiring invasive EEG monitoring were correctly lateralized by IAP, including one patient in whom the noninvasive evaluation otherwise provided false lateralization. Of 32 patients with neocortical or mesial frontal lobe epilepsy, 21 displayed memory deficits on IAP. Of 10 patients with bilateral deficits, five had mesial frontal lobe epilepsy. In 13 patients with lateralized memory deficits, seven underwent electrode implantation in the mesial temporal lobe, and four ultimately underwent resection of an epileptogenic mesial temporal lobe in addition to a neocortical resection. Conclusions: In patients with mTLE, lateralized memory deficits on IAP usually confirm localization provided by non‐invasive tests. However, in mTLE not well lateralized by the noninvasive evaluation, and in neocortical or mesial frontal epilepsy, the IAP may provide information regarding localization that ultimately alters surgical management.