EEG ANALYSIS OF REAL AND IMAGINARY ARM MOVEMENTS BY SPECTRAL COHERENCE

Revealing the information between similar patterns of brain for a real motor task and its imaginary equivalent can be means to clarify movement intentions help improve Brain Computer Interfaces (BCI)s. This paper uses spectral coherence assess functional interactions neural regions engaged in an imagined arm task. Magnitude squared values were calculated two specific bands Electroencephalogram (EEG) that are 8–12 Hz alpha band 13–20 beta 48 channels from selected interest (ROIs). The transferred into surface maps. We try explain how cognition these relevant with literature. maximum is observed same hemisphere surrounding closest located vertically horizontally based on 10-20 electrode placement. Our results supplementary area, premotor, prefrontal, primary cortex parietal play role facilitating movements, good accordance previous studies. Further research put which would possible prosthetic-interactive BCI systems, interactive multimedia applications, emerging EEGbased biometric recognition areas.