ABSTRACT
OBJECTIVE: To study neural networks involved in hyperkinetic seizures (HKS) using ictal SPECT. METHODS: We retrospectively identified 18 patients with HKS evaluated at the Cleveland Clinic between 2005 and 2015 with video-EEG monitoring and ictal SPECT. Semiology was confirmed by the consensus of 2 epileptologists' independent reviews and classified as type 1, 2, or 3 HKS. SPECT data were analyzed by 2 independent physicians using a z score of 1.5. Ictal hyperperfusion patterns for each group were analyzed visually and with SPM. Spatial normalization to Montreal Neurological Institute space for each patient's data was performed, followed by flipping of data from patients with left-sided ictal onset to the right side. Finally, an average z score map for each group was calculated. RESULTS: Visual analysis and SPM identified different patterns of ictal hyperperfusion in the 3 subtypes of HKS. Type 1 seizures showed hyperperfusion in a more anteriorly located network involving the anterior insula, orbitofrontal cortex, cingulate, and anterior perisylvian region and rostral midbrain. Type 2 seizures were associated with hyperperfusion in a more caudally located network involving the orbitofrontal cortex, cingulate (middle and posterior), basal ganglia, thalami, and cerebellum. Type 3 seizures showed a mixed pattern of SPECT hyperperfusion involving the temporal pole and anterior perisylvian region. CONCLUSIONS: Each of the 3 different semiologic subtypes of HKS is associated with distinct patterns of hyperperfusion, providing further insight into the neural networks involved. This knowledge may inform placement of invasive EEG electrodes in patients with HKS semiology undergoing presurgical evaluation.
Subject(s)
Epilepsy, Partial, Motor/diagnostic imaging , Hyperkinesis/diagnostic imaging , Nerve Net/diagnostic imaging , Tomography, Emission-Computed, Single-Photon/methods , Adolescent , Adult , Brain Mapping , Cerebrovascular Circulation , Child , Dominance, Cerebral , Electroencephalography/methods , Epilepsy, Partial, Motor/classification , Epilepsy, Partial, Motor/physiopathology , Female , Humans , Hyperkinesis/physiopathology , Male , Middle Aged , Nerve Net/physiopathology , Preoperative Care , Retrospective Studies , Video Recording/methods , Young AdultABSTRACT
OBJECTIVE: Presently, there is no simple method at initial presentation for identifying a patient's likelihood of progressing to surgery and a favorable outcome. The Epilepsy Surgery Grading Scale (ESGS) is a three-tier empirically derived mathematical scale with five categories: magnetic resonance imaging (MRI), electroencephalography (EEG), concordance (between MRI and EEG), semiology, and IQ designed to stratify patients with drug-resistant focal epilepsy based on their likelihood of proceeding to resective epilepsy surgery and achieving seizure freedom. METHODS: In this cross-sectional study, we abstracted data from the charts of all patients admitted to the New York University Langone Medical Center (NYULMC) for presurgical evaluation or presented in surgical multidisciplinary conference (MDC) at the NYU Comprehensive Epilepsy Center (CEC) from 1/1/2007 to 7/31/2008 with focal epilepsy, who met minimal criteria for treatment resistance. We classified patients into ESGS Grade 1 (most favorable), Grade 2 (intermediate), and Grade 3 (least favorable candidates). Three cohorts were evaluated: all patients, patients presented in MDC, and patients who had resective surgery. The primary outcome measure was proceeding to surgery and seizure freedom. RESULTS: Four hundred seven patients met eligibility criteria; 200 (49.1%) were presented in MDC and 113 (27.8%) underwent surgery. A significant difference was observed between Grades 1 and 3, Grades 1 and 2, and Grades 2 and 3 for all presurgical patients, and those presented in MDC, with Grade 1 patients having the highest likelihood of both having surgery and becoming seizure-free. There was no difference between Grades 1 and 2 among patients who had resective surgery. SIGNIFICANCE: These results demonstrate that by systematically using basic information available during initial assessment, patients with drug-resistant epilepsy may be successfully stratified into clinically meaningful groups with varied prognosis. The ESGS may improve communication, facilitate decision making and early referral to a CEC, and allow patients and physicians to better manage expectations.
Subject(s)
Algorithms , Anticonvulsants/therapeutic use , Drug Resistant Epilepsy/classification , Drug Resistant Epilepsy/surgery , Electroencephalography , Epilepsy, Partial, Motor/classification , Epilepsy, Partial, Motor/surgery , Intelligence , Magnetic Resonance Imaging , Outcome Assessment, Health Care/statistics & numerical data , Adult , Anticonvulsants/adverse effects , Cohort Studies , Drug Resistant Epilepsy/diagnosis , Drug Resistant Epilepsy/drug therapy , Epilepsy, Partial, Motor/diagnosis , Epilepsy, Partial, Motor/drug therapy , Female , Humans , Likelihood Functions , Male , Prognosis , Referral and Consultation/statistics & numerical data , Risk Assessment/statistics & numerical data , Temporal Lobe/surgeryABSTRACT
Continuous synchronized video-EEG-polygraphic recordings allow us to better define the electroclinical patterns of epileptic events and to study the semiological features of neonatal seizures. Recently, complex behaviours and motor automatisms in newborns have been reported as being epileptic in nature. However, the debate on physiopathology (cortical or brainstem release phenomena) is ongoing. We present the synchronized video-EEG documentation of epileptic complex motor behaviours in a newborn male. Our case contributes to the discussion regarding the semiological classification of the neonatal seizures.[Published with video sequences].
