Akademik Veri Yönetim Sistemi
1st National Neuroimaging Congress , Ankara, Türkiye, 7 - 09 Eylül 2023, ss.23, (Özet Bildiri)
This study investigates Mirror Neuron System (MNS) activation in stroke patients using EEG data during motor learning stages after a stroke. The study tests the hypothesis that as motor learning progresses and the patient actively engages, the involvement of motor circuits may increase through MNS activation. A stroke patient participated in two sessions over one week. In Session 1, the patient passively watched hand movements involving squeezing a soft and hard spring, while in Session 2, the patient replicated the movements with the assistance of a hand rehabilitation robot. EEG data were collected on the 1st, 4th, and 7th days for each session. To analyze MNS activation, power suppression in the mu and beta frequency bands was examined at electrode locations C3, C4, P3, P4, F7, and F8, which are believed to reflect MNS activation. The data were preprocessed using EEGLAB and MATLAB R2022a. Differences in mu and beta band power between days and electrodes were statistically analyzed using the Wilcoxon signed-rank test. In the first session, a significant increase in MNS suppression was observed in the mu band between the 1st and 7th days at electrode locations P3, F7, and F8 (p<0.05). Similarly, significant beta band suppression was found at electrode locations C3, P3, and F7 (p<0.05). In the second session, significant mu band activation suppression was observed in electrode locations other than P3 electrode (p<0.05). In the beta activation, significant suppression was found at electrode locations C4, P3, and F7 (p<0.05). The study demonstrates increased MNS activation during active motor learning in a stroke patient. Understanding the relationship between active motor training, motor learning, and MNS may facilitate the development and optimization of personalized rehabilitation programs for stroke patients. Investigating the relationship between MNS and neuroplasticity could contribute to the development of recovery approaches. Keywords: MNS activation, motor rehabilitation, robotic rehabilitation, EEG.