Evaluation of neural connectivity and features of EEG signals in healthy and individuals with cognitive impairment

Background and Aim : Emotion is considered as one of the influential cognitive parameters in daily activities. Emotional activities in different situations and on different cognitive groups have different effects on brain and behavioral activities. Finding the relationship between brain activity in different emotional states will greatly aid in diagnosis and treatment as well as enhancing cognitive activity.Methods : The results of feature extraction showed that there is a significant difference between healthy and cognitive impaired groups in the extracted features.Results : By extracting features and classifying these data across all tested groups, it is possible to improve the performance and performance of those groups by classifying disorders with their specific treatment modalities.Conclusion : By extracting features and classifying these data across all groups, it is possible to obtain methods for classifying different groups, with specific therapeutic approaches, to improve those features and thereby improve their performance.