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Current autopsy principles for evaluating the existence of brain edema are based on a macroscopic subjective assessment performed by pathologists. The gold standard is a time-consuming histological verification of the presence of the edema. By measuring the diameters of the cranial cavity, as individually determined morphometric parameters, a mathematical model for rapid evaluation of brain edema was created, based on the brain weight measured during the autopsy. A cohort study was performed on 110 subjects, divided into two groups according to the histological presence or absence of (the – deleted from the text) brain edema. In all subjects, the following measures were determined: the volume and the diameters of the cranial cavity (longitudinal and transverse distance and height), the brain volume, and the brain weight. The complex mathematical algorithm revealed a formula for the coefficient ε, which is useful to conclude whether a brain edema is present or not. The average density of non-edematous brain is 0.967 g/ml, while the average density of edematous brain is 1.148 g/ml. The resulting formula for the coefficient ε is (5.79 × longitudinal distance × transverse distance) / brain weight. Coefficient ε can be calculated using measurements of the diameters of the cranial cavity and the brain weight, performed during the autopsy. If the resulting ε is less than 0.9484, it could be stated that there is cerebral edema with a reliability of 98.5%. The method discussed in this paper aims to eliminate the burden of relying on subjective assessments when determining the presence of a brain edema.

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SUMMARYObjective: To examine antioxidative system in hippocampi of patients with mesial temporal lobe epilepsy associated with hippocampal sclerosis (mTLE-HS). Methods: Activity and levels of antioxidative enzymes-catalase (CAT), glutathione peroxidase (GPx), glutathione reductase (GR), manganese superoxide dismutase (MnSOD), and copper-zinc superoxide dismutase (CuZnSOD)-were assessed in hippocampi of nine pharmacoresistant mTLE-HS patients (mean age 37.7 AE [standard deviation] 6.6 years) who underwent amygdalohippocampectomy, and in 10 hippocampi obtained via autopsy from five neurologically intact controls (mean age 34.4 AE 9.0 years). Subfield and cellular (neuron/astrocyte) distribution of CAT, GPx, and MnSOD was analyzed in detail using immunohistochemical staining. Results: Sclerotic hippocampi showed drastically increased activity of hydrogen peroxide-removing enzymes, CAT (p < 0.001), GPx (p < 0.001), and GR (p < 0.001), and significantly higher protein levels of CAT (p = 0.006), GPx (p = 0.040), GR (p = 0.024), and MnSOD (p = 0.004), compared to controls. CAT immunofluorescence was located mainly in neurons in both controls and HS. Control hippocampi showed GPx staining in blood vessels and CA neurons. In HS, GPx-rich loci, representing bundles of astrocytes, emerged in different hippocampal regions, whereas the number of GPx-positive vessels was drastically decreased. Neurons with abnormal morphology and strong MnSOD immunofluorescence were present in all neuronal layers in HS. Small autofluorescent deposits, most likely lipofuscin, were observed, along with astrogliosis, in CA1 in HS. Significance: Antioxidative system is upregulated in HS. This documents, for the first time, that epileptogenic hippocampi are exposed to oxidative stress. Our findings provide a basis for understanding the potential involvement of redox alterations in the pathology of epilepsy, and may open new pharmacologic perspectives for mTLE-HS treatment.

We propose a novel design of internal impedance matching networks for axial-mode helical antennas. This network comprises a single wire attached to the helix. One of the main challenges when designing an internal matching network is its strong electromagnetic coupling with the antenna. The matching network must hence be designed in the presence of the antenna, which slows down the design process. To overcome this problem, we formulate an equivalent thin-wire model of the complete helix, including the matching wire (matching network) and the dielectric support. This computationally low-demanding model can be analyzed extremely rapidly, yielding accurate results, which are in excellent agreement with alternative numerical solutions and measurements.