Autoimmune Epilepsy in Children: Unraveling the Mystery.

Although many neurologists are familiar with the clinical presentations of anti-N-methyl-d-aspartate receptor or limbic encephalitides, there remains much mystery surrounding autoimmune etiologies of subacute and chronic epilepsies. In addition, the subtleties and differences in presentation in the pediatric population limit diagnosis and challenge clinicians. In the absence of an acute encephalitic picture, it is likely that many clinicians do not test for autoimmune disorders due to the uncertainty surrounding the selection of appropriate candidates for testing and immunomodulation. Recent developments have expanded the definition of epilepsy related to autoimmune mechanisms. Based on current knowledge, autoimmune epilepsy can best be thought of as a subset of autoimmune encephalitis where seizures and epilepsy are the primary presenting factor. Autoimmune epilepsy has been increasingly recognized as a contributor to drug-resistant epilepsies; however, identification of affected individuals remains challenging, particularly in the pediatric population. Our understanding of autoimmune epilepsy continues to evolve as more individuals with epilepsy are tested for antibodies to neuronal proteins and as additional antibodies are being identified. This article provides an overview of the clinical features most commonly associated with positive antibody testing in epilepsy and the scales that are currently available to screen patients for antibody testing and response to immunotherapy. Literature-based recommendations are presented for the modification and validation of current scales to increase applicability to children.

Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings.

OBJECTIVE: Automatic detection of generalized tonic-clonic seizures (GTCS) will facilitate patient monitoring and early intervention to prevent comorbidities, recurrent seizures, or death. Brain Sentinel (San Antonio, Texas, USA) developed a seizure-detection algorithm evaluating surface electromyography (sEMG) signals during GTCS. This study aims to validate the seizure-detection algorithm using inpatient video-electroencephalography (EEG) monitoring. METHODS: sEMG was recorded unilaterally from the biceps/triceps muscles in 33 patients (17white/16 male) with a mean age of 40 (range 14-64) years who were admitted for video-EEG monitoring. Maximum voluntary biceps contraction was measured in each patient to set up the baseline physiologic muscle threshold. The raw EMG signal was recorded using conventional amplifiers, sampling at 1,024 Hz and filtered with a 60 Hz noise detection algorithm before it was processed with three band-pass filters at pass frequencies of 3-40, 130-240, and 300-400 Hz. A seizure-detection algorithm utilizing Hotelling's T-squared power analysis of compound muscle action potentials was used to identify GTCS and correlated with video-EEG recordings. RESULTS: In 1,399 h of continuous recording, there were 196 epileptic seizures (21 GTCS, 96 myoclonic, 28 tonic, 12 absence, and 42 focal seizures with or without loss of awareness) and 4 nonepileptic spells. During retrospective, offline evaluation of sEMG from the biceps alone, the algorithm detected 20 GTCS (95%) in 11 patients, averaging within 20 s of electroclinical onset of generalized tonic activity, as identified by video-EEG monitoring. Only one false-positive detection occurred during the postictal period following a GTCS, but false alarms were not triggered by other seizure types or spells. SIGNIFICANCE: Brain Sentinel's seizure detection algorithm demonstrated excellent sensitivity and specificity for identifying GTCS recorded in an epilepsy monitoring unit. Further studies are needed in larger patient groups, including children, especially in the outpatient setting.

Are MRI-detected brain abnormalities associated with febrile seizure type?

OBJECTIVE: Whether magnetic resonance imaging (MRI) is informative in febrile seizures (FS) is unknown. We undertook a study to determine the frequency of MRI-detected brain abnormalities and to evaluate their association with FS type and with specific features of complex FS. METHODS: A prospective cohort study, from 1999 to 2004, included children with first FS from one Pediatric Emergency Department. MRI of the brain was performed within 1 week of the seizure. FS type was categorized by experts blind to the prior clinical history and MRI results. MRI examinations were read blind to the child's clinical history and FS type, and interviewers were blind to MRI results. RESULTS: In 159 children with a first FS, imaging abnormalities occurred in 12.6% (N = 20). Eight of the 54 with complex FS had imaging abnormalities compared to 12 of the 105 with simple FS (n.s.). Compared to children with simple FS, children with both focal and prolonged FS (N = 14) were more likely to have imaging abnormality (OR = 4.3, 95% CI = 1.2-15.0), even after adjustment for abnormal neurological examination. Imaging abnormalities included those known to be associated with seizures (e.g., focal cortical dysplasia) and those not typically associated with seizures (e.g., subcortical focal hyperintensities > or = 5 mm). DISCUSSION: Our data suggest that brain abnormalities may lower seizure threshold in febrile children, predisposing to the development of FS. Clinical management was unaffected and therefore these data do not alter the recommendation that MRI is unnecessary in children with FS, without some other neurological indication.

Seizure characterization and electroencephalographic features in Glut-1 deficiency syndrome.

PURPOSE: To characterize seizure types and electroencephalographic features of glucose transporter type 1 deficiency syndrome (Glut-1 DS). METHODS: Twenty children with clinical and laboratory features of Glut-1 DS were evaluated. Age at seizure diagnosis, seizure classification, and response to treatment were determined by chart review. Thirty-two continuous 24-h EEG monitoring sessions and reports of 42 routine EEG studies were assessed. RESULTS: Age at seizure diagnosis was between 4 weeks and 18 months (mean, 5 months). Seizure types were generalized tonic or clonic (14), absence (10), partial (nine), myoclonic (six), or astatic (four). During 24-h EEGs, background activity showed generalized 2.5- to 4-Hz spike-wave discharges (41%), generalized slowing or attenuation (34%), no abnormalities (34%), focal epileptiform discharges (13%), or focal slowing or attenuation (9%). No seizures were captured during 69% of the studies; the remainder had absence (19%), myoclonic (9%), or partial seizures (3%). On evaluation of routine and 24-h EEG studies, focal epileptiform discharges (24%) and slowing (11%) were more frequent in ages 0-24 months. In older children (2-8 years), generalized epileptiform discharges (37.5%) and slowing (21%) were more common. CONCLUSIONS: In all ages, a normal interictal EEG was the most common EEG finding. When abnormalities occurred, focal slowing or epileptiform discharges were more prevalent in the infant. In older children (2 years or older), a generalized 2.5- to 4-Hz spike-wave pattern emerged. Seizure types observed included, absence, myoclonic, partial, and astatic.