Khachidze I1,2
- I.Beritashvili Center of Experimental Biomedicine, Tbilisi, Georgia
- CU University
The Big Data EEG (electroencephalogram) collected in Georgia have been integrated and uploaded to the European Open Science Cloud (EOSC). EU Project NI4OS-National Initiatives for Open Science in Europe is funded by the European Commission’s Horizon 2020 program. The first online EEG database “EEGHUB.GE” in Georgia was funded and selected as a thematic service and EEG data of patients with NS disfunction. “EEGHUB.GE” is used to study EEG characteristics in Patients with different CNS disorder. For instance, by our study was revealed EEG biomarkers in 39 epileptic children aged(6-10 years) during the AED-treatment. Reduction of high-amplitude low-frequency waves, suppression of epileptiform EEG pattern simultaneously with clinical improvement can serve as an indicator/biomarker. The presence with rhythmic monomorphic theta waves of tempo-parietal region is a predicting factor for seizures recurrence despite of the normalization of a patient’s clinical condition. The study of background EEG activity, spectral analysis and EEG mapping using EEGHUB.GE and qEEG approach during AED therapy allows determining correctly the treatment strategy. The enlarge information about some of the major pathways involved in the epilepsy disease facilitate selection of the most effective & appropriate treatments. Second Study by using EEGBUB.GE is aimed to determine the EEG pattern to hyperventilation based on time of onset EEG and age of patients with different CNS disorders. Nowadays Hyperventilation is used during the EEG registration and EEG analysis shows a variety of responses, changes, and combinations. The pathological EEG reaction to hyperventilation was revealed in 985. The patients were split into the following age groups: 3-6, 7-12, 13-18, 19-30, 31-50. Three types of EEG reaction to hyperventilation were revealed in all age-groups of patients: EEG detected the prevalence of disorganization of the basic rhythm(than paroxysmal & epileptiform discharges) in all minutes. In all age groups shown the disorganization of basic EEG rhythm in the first, second and third minutes of hyperventilation. In the first minute was revealed a significant ratio between all types of EEG and age, which was not observed in the second and third minutes. Therefore the extension of functional test is not recommendable, especially in patients with different disorders and in children. EEG-response to hyperventilation based on ages of patients should be taken account for scientific and clinical study.