The Effect of Head Model Simplification on Beamformer Source Localization

Beamformers are a widely-used tool in brain analysis with magnetoencephalography (MEG) and electroencephalography (EEG). For the construction of the beamformer filters realistic head volume conductor modeling is necessary for accurately computing the EEG and MEG leadfields, i.e., for solving the EEG and MEG forward problem. In this work, we investigate the influence of including realistic head tissue compartments into a finite element method (FEM) model on the beamformer's localization ability. Specifically, we investigate the effect of including cerebrospinal fluid, gray matter, and white matter distinction, as well as segmenting the skull bone into compacta and spongiosa, and modeling white matter anisotropy. We simulate an interictal epileptic measurement with white sensor noise. Beamformer filters are constructed with unit gain, unit array gain, and unit noise gain constraint. Beamformer source positions are determined by evaluating power and excess sample kurtosis (g2) of the source-waveforms at all source space nodes. For both modalities, we see a strong effect of modeling the cerebrospinal fluid and white and gray matter. Depending on the source position, both effects can each be in the magnitude of centimeters, rendering their modeling necessary for successful localization. Precise skull modeling mainly effected the EEG up to a few millimeters, while both modalities could profit from modeling white matter anisotropy to a smaller extent of 5–10 mm. The unit noise gain or neural activity index beamformer behaves similarly to the array gain beamformer when noise strength is sufficiently high. Variance localization seems more robust against modeling errors than kurtosis

Occurrence of status epilepticus in persons with epilepsy is determined by sex, epilepsy classification, and etiology: a single center cohort study

Background!#!Status epilepticus (SE) can occur in persons with or without epilepsy and is associated with high morbidity and mortality.!##!Methods!#!This survey aimed to record self-reported frequency of SE in persons with epilepsy, its association with clinical characteristics and patient level of information on SE and rescue medication. 251 persons with epilepsy at a tertiary epilepsy center were included in the study.!##!Results!#!87 (35%) had a history of SE defined as seizure duration of more than 5 min. These patients were less likely to be seizure-free, and had a higher number of present and past anti-seizure medication. Female sex, cognitive disability, younger age at epilepsy onset, defined epilepsy etiology, and focal epilepsy were associated with a history of SE. On Cox regression analysis, female sex, defined etiology and focal classification remained significant. 67% stated that they had information about prolonged seizures, and 75% knew about rescue medication. 85% found it desirable to receive information about SE at the time of initial diagnosis of epilepsy, but only 16% had been offered such information at the time.!##!Conclusion!#!SE is frequent among persons with epilepsy and there remain unmet needs regarding patient education