Issue: 2017, Vol. 22, No. 1
PHYSIOLOGIC MECHANISMS WHICH DETERMINE THE ACTIVITY EFFICACY IN PATIENTS WITH EPILEPSY AND THEIR ASSOCIATION WITH THE DISEASE CLINICAL PECULIARITIES
- Keywords
- epilepsy, physiological mechanisms, activity efficacy, artificial neuron networks
- Abstarct
- Objective - to reveal physiological mechanisms which are likely to be the most significant in the determination of the efficacy of the simulated purposeful activity in patients with epilepsy, to find its association with the disease clinical peculiarities, to estimate the effectiveness of artificial neuron networks technology in the definition of the resultant state of the simulated purposeful activity in patients with epilepsy on the basis of the distinguished parameters complex. Material and methods. 72 practically healthy persons and 163 patients with epilepsy were examined. Groups with different resultant status of activity were chosen in patients with epilepsy according to the data obtained by Schulte - Gorbov test. 2 groups of patients with epilepsy were singled out by claster analysis; they had trustworthy distinctions in simulated activity parameters. Artificial neuron network was developed in order to classify patients with epilepsy. Results. Mechanisms of activity motor provision and parameters of cortical activity synchronization exerted the most influence to the resultant status of simulated purposeful activity in patients with epilepsy. Low resultant status of the activity was associated with the presence of symptomatic (structural metabolic) form of the disease, more frequency of generalized attacks and high level of cognitive disturbances. The effectiveness of the simulated purposeful activity in patients with epilepsy might be successfully prognosticated on the basis of the parameters of cross correlative function of electroencephalogram and the mechanisms of activity motor provision by artificial neutron networks. Conclusions. The correlation of activity efficacy parameters and epilepsy clinical characteristics allowed to use physiological parameters complex and artificial neuron network technology in order to determine the resultant status of the simulated purposeful activity in patients with epilepsy.
Зорин