Clinical Characteristics and Nonconvulsive Seizures in Young Children With Abusive Head Trauma.

AIM: We aimed to evaluate putative predictors of symptoms and signs at admission for nonconvulsive seizure and to examine the impact of nonconvulsive seizures on short-term outcomes. METHOD: We retrospectively collected consecutive abusive head trauma patients (<36 months of age) from the trauma registry at Children's Healthcare of Atlanta between 2009 and 2014. Multiple logistic regression was performed to assess the putative predictors for the occurrence of nonconvulsive seizures including clinical seizures, altered mental status, respiratory difficulty, and cardiac arrest at admission, while controlling for age, sex, and injury severity. The Mann-Whitney U test and the Fisher exact test were used to compare the short-term outcomes between patients with and without nonconvulsive seizures. RESULTS: Two hundred seventy patients with abusive head trauma were identified (male = 55.6%). The median age was 4 months (interquartile range = 2-8 months). Among 70 patients who underwent continuous electroencephalography (EEG), 40 had nonconvulsive seizures (57%) and 21 developed nonconvulsive status epilepticus (30%). Altered mental status at admission was associated with the occurrence of nonconvulsive seizures (odds ratio = 6.8, 95% confidence interval = 1.2-38.2, P = .03). Comparing patients with no seizures, those with nonconvulsive seizures were more likely to stay longer at hospital (9 days vs 14 days, P = .04) and to need rehabilitation (50.0% vs 63.2%, P = .03). CONCLUSIONS: Nonconvulsive seizures and nonconvulsive status epilepticus was highly prevalent in young pediatric patients with abusive head trauma. Presenting with altered mental status at admission was found to predict the occurrence of nonconvulsive seizures. Nonconvulsive seizures had an unfavorable impact on short-term outcomes.

Utility of gray-matter segmentation of ictal-Interictal perfusion SPECT and interictal 18F-FDG-PET in medically refractory epilepsy.

PURPOSE: We present a method of gray-matter segmentation of functional neuroimaging for localization of seizure onset zone (SOZ) in epilepsy surgery. 18F-FDG-PET hypometabolism and ictal SPECT hyperperfusion may correspond to SOZ. We hypothesize that limiting functional images to gray matter improves identification of small, subtle, or obscure cortical volumes of 18F-FDG-PET hypometabolism and eliminates hyperperfused seizure propagation pathways within white matter in ictal perfusion SPECT. METHODS: Twenty-five adult and pediatric patients age 2-48 years with epilepsy surgery evaluations consisting of MRI, 18F-FDG-PET, ictal and interictal perfusion SPECT, and intracranial EEG (iEEG) monitoring were selected. MRI gray matter segmentation was used to identify cortical regions in coregistered 18F-FDG-PET and Ictal-Interictal SPECT Analysis by SPM (ISAS) as volumes of interest (VOI). VOIs in 18F-FDG-PET and SPECT perfusion clusters were compared to iEEG localization. The level of VOI concordance between two modalities was recorded as the same subgyrus (highest concordance), gyrus, sublobe, lobe, hemisphere, or no concordance. RESULTS: With segmentation, 84% (21/25) of cases had at least one area identified on 18F-FDG-PET scan concordant with iEEG SOZ at sublobar or higher levels, and 72% (18/25) of cases had subgyral concordance with iEEG SOZ. Without segmentation, 60% (15/25) of cases had at least one area in 18F-FDG-PET scan concordant with iEEG SOZ at sublobar or higher levels, and 32% (8/25) with subgyral concordance. 83% (10/12) of seizure free patients had subgyral concordance on segmented 18F-FDG-PET. Both segmented and nonsegmented ictal-interictal SPECT perfusion clusters had 56% (14/25) of cases with at least sublobar concordance. Subgyral concordance was achieved by 28% (7/25) of segmented and 20% (5/25) of nonsegmented SPECTs. DISCUSSION: Segmented 18F-FDG-PET scans frequently result in high correspondence to iEEG onset zones with localizations exactly concordant with iEEG SOZ- more than twice as often as without segmentation. Segmentation allows for the identification of small or subtle areas of hypometabolism that are often unappreciated or are obscured by normally hypometabolic white matter. Segmentation of ictal-interictal SPECT clusters did not significantly increase localization with iEEG SOZ over nonsegmented clusters.

Localization of epileptic foci using multimodality neuroimaging.

Approximately 30% of epilepsy patients are medically intractable. Epilepsy surgery may offer cure or palliation, and neuromodulation and direct drug delivery are being developed as alternatives. Successful treatment requires correct localization of seizure onset zones and understanding surrounding functional cortex to avoid iatrogenic disability. Several neurophysiologic and imaging localization techniques have inherent individual weaknesses which can be overcome by multimodal analysis. We review common noninvasive techniques, then illustrate the value of multimodal analysis to localize seizure onset for targeted treatment.