4 results about "Epilepsy treatment" patented technology

This invention discloses a method for locating epileptogenic zones based on high-frequency oscillations and connectivity, comprising the following steps: 1. Acquiring SEEG data and selecting representative channels; 2. Filtering to acquire 54-200Hz signals and selecting baseline and target data; 3. Acquiring normalized high-frequency energy; 4. Calculating time and energy coefficients to obtain a high-frequency epileptogenicity index; 5. Filtering to acquire 12-45Hz signals; 6. Calculating nonlinear regression analysis; 7. Calculating total intensity; 8. Defining and calculating the connectivity high-frequency epileptogenicity index and evaluating performance. This invention can accurately locate epileptogenic zones in patients with different seizure patterns, and has potential application value in epilepsy treatment.

The present application relates to a kind of novel Hedgehog signal pathway inhibitor and preparation method thereof, the Hedgehog signal pathway inhibitor has the structure shown in formula (I).The Hedgehog signal pathway inhibitor of the present application can effectively inhibit SMO receptor activity, and block SHH signal pathway. With good effect of blocking the seizure caused by excessive or super-synchronous neuron discharge in brain. As epilepsy treatment candidate drug has good application prospect.

The present application belongs to the technical field of physiological electrical signals, and particularly relates to a method for adjusting model parameters based on electroencephalogram signals and an epilepsy treatment device. First, a loss factor is obtained according to the phase state of training data, that is, a missed detection rate and a detection delay time are obtained according to seizure period data, a false alarm number is obtained according to inter-period data, and an alarm time is obtained according to pre-seizure data. Then, based on the loss factor, candidate parameters are obtained. Finally, the parameters of the detection model are adjusted according to the candidate parameters. The loss factor is combined with the phase state of the data, and then the parameters of the model are trained. According to the detection requirements, the phase state of the data sample and the adaptive detection model can be selected, so that the model parameters and the data characteristics are more matched, and the weight of the sample category does not need to be considered.

The invention discloses a kit for predicting sodium valproate treatment response based on TPH2 gene polymorphism and a method and application thereof, and belongs to the technical field of individualized medication for children epilepsy treatment. The method comprises the following steps: S01, collecting a biological sample of a child epilepsy patient, and extracting genome DNA; s02, detecting the genotype of the rs4570625 site of the TPH2 gene in the genome DNA (Deoxyribose Nucleic Acid); s03, people suitable for sodium valproate treatment are selected according to the genotypes, and the GG genotype patients are suitable for sodium valproate standard dosage maintenance treatment; a non-GG genotype patient adopts an adjusted sodium valproate scheme or a sodium valproate substitute medicine. The invention further provides a corresponding kit and application. According to the invention, the TPH2 gene polymorphism is introduced into the prediction of the VPA treatment response of the child epilepsy, and the individualized medication of the VPA treatment of the child epilepsy is accurately guided.