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Objective: We aimed to validate the usefulness of gradient magnetic-field topography (GMFT) for analysis of ictal magnetoencephalography (MEG) in patients with neocortical epilepsy., Methods: We identified 13 patients presenting with an ictal event during preoperative MEG. We applied equivalent current dipole (ECD) estimation and GMFT to detect and localize the ictal MEG onset, and compared these methods with the ictal onset zone (IOZ) derived from chronic intracranial electroencephalography. The surgical resection areas and outcomes were also evaluated., Results: GMFT detected and localized the ictal MEG onset in all patients, whereas ECD estimation showed localized ECDs in only 2. The delineation of GMFT was concordant with the IOZ at the gyral-unit level in 10 of 12 patients (83.3%). The detectability and precision of delineation of ictal MEG activity by GMFT were significantly superior to those of ECD (p<0.05 and p<0.01, respectively). Complete resection of the IOZ in the concordant group provided seizure freedom in 3 patients, whereas seizures remained in 9 patients who had incomplete resections., Conclusions: Because of its higher spatial resolution, GMFT of ictal MEG is superior to conventional ECD estimation in patients with neocortical epilepsy., Significance: Ictal MEG study is a useful tool to estimate the seizure onset in patients with neocortical epilepsy., (Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

Hypothalamic hamartoma (HH), composed of neurons and glia without apparent cytologic abnormalities, is a rare developmental malformation in humans. Patients with HH often have characteristic medically refractory gelastic seizures, and intrinsic epileptogenesis within the lesions has been speculated. Herein we provide evidence to suggest that in HH neurons, Ca 2+ permeability through α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptors is aberrantly elevated. In needle biopsy specimens of HH tissue, field potential recordings demonstrated spontaneous epileptiform activities similar to those observed in other etiologically distinct epileptogenic tissues. In HH, however, these activities were clearly abolished by application of Joro Spider Toxin (JSTX), a specific inhibitor of the Ca 2+ -permeable AMPA receptor. Consistent with these physiologic findings, the neuronal nuclei showed disappearance of adenosine deaminase acting on RNA 2 (ADAR2) immunoreactivity. Furthermore, examination of glutamate receptor 2 (GluA2) messenger RNA (mRNA) revealed that editing efficiency at the glutamine/arginine site was significantly low. These results suggest that neurons in HH may bear Ca 2+ -permeable AMPA receptors due to dislocation of ADAR2., (Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.)

ObjectivesThere are three conceivable reasons for the failure of resective surgery for intractable epilepsy: incomplete resection of the epileptogenic zone including or overlapping with eloquent area (group A); incorrect determination of the epileptogenic zone prior to the first surgery (group B); and the development of a new epileptic focus after the first surgery (group C). We examined the relationship between the reason for failure of initial surgery and patient outcomes after repeated surgical resection. MethodsThe study included 18 patients (5.1%) underwent additional surgery after failure of the initial operation. Post-operative outcomes, complications and other clinical data were collected by retrospective chart review. ResultsFour patients (22.2%) were assigned to group A, 13 (72.2%) were assigned to group B, and 1 patient was assigned to group C (5.6%). Six patients (40.0%) were seizure-free for 2 or more years after additional surgery. In group B, 11 patients underwent additional resection of the cortex adjacent to the previously resected area and 2 underwent re-operation involving a site distant from the previously resected area; notably, the latter 2 patients did not achieve seizure-free status post-surgery. After the first operation, only one patient (group A) experienced transient paresis; after additional surgery, 10 of 18 patients (56%; 3 group A, 6 group B, and 1 group C) experienced various complications. DiscussionAlthough additional resective surgery provided freedom from seizures in about 40% of the patients, it is important to weigh a high risk of complications against possible benefits when considering additional surgery. [ABSTRACT FROM PUBLISHER]

The currently available indicators—sensitivity and specificity of expert radiological evaluation of MRIs—to identify mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) are deficient, as they cannot be easily assessed. We developed and investigated the use of a novel convolutional neural network trained on preoperative MRIs to aid diagnosis of these conditions. We enrolled 141 individuals: 85 with clinically diagnosed mesial temporal lobe epilepsy (MTLE) and hippocampal sclerosis International League Against Epilepsy (HS ILAE) type 1 who had undergone anterior temporal lobe hippocampectomy were assigned to the MTLE-HS group, and 56 epilepsy clinic outpatients diagnosed as nonepileptic were assigned to the normal group. We fine-tuned a modified CNN (mCNN) to classify the fully connected layers of ImageNet-pretrained VGG16 network models into the MTLE-HS and control groups. MTLE-HS was diagnosed using MRI both by the fine-tuned mCNN and epilepsy specialists. Their performances were compared. The fine-tuned mCNN achieved excellent diagnostic performance, including 91.1% [85%, 96%] mean sensitivity and 83.5% [75%, 91%] mean specificity. The area under the resulting receiver operating characteristic curve was 0.94 [0.90, 0.98] (DeLong's method). Expert interpretation of the same image data achieved a mean sensitivity of 73.1% [65%, 82%] and specificity of 66.3% [50%, 82%]. These confidence intervals were located entirely under the receiver operating characteristic curve of the fine-tuned mCNN. Deep learning-based diagnosis of MTLE-HS from preoperative MR images using our fine-tuned mCNN achieved a performance superior to the visual interpretation by epilepsy specialists. Our model could serve as a useful preoperative diagnostic tool for ascertaining hippocampal atrophy in patients with MTLE. • Modified convolution neural network (mCNN) MRIs diagnosed MTLE-HS preoperatively. • Diagnostic sensitivity & specificity of fine-tuned mCNN was higher than specialists. • Our model can facilitate the preoperative diagnosis of hippocampal sclerosis. • New deep learning models to correct vanishing gradient by multilayer CNN are needed. [ABSTRACT FROM AUTHOR]