COMPARISON STUDY BETWEEN THREE AXIS VIEWS OF VISION, MOTOR AND PRE-FRONTAL BRAIN ACTIVITIES

The brain is the main controller of the vital processes and functional studies. The Functional Magnetic Resonance Imaging (fMRI) can provide useful indications to explain the functional activities of brain. Especially with utilizing the three image views of X_axis (Sagittal Plane) split the brain into left and right segment, Y_axis (Coronal plane) split the brain into back and front segment and Z_axis (Axial plane) split the brain into top and down segment. In this study, we proposevarious deep learning models namely the X_axis Classification Model (XCM), Y_axis Classification Model (YCM) and Z_axis Classification Model (ZCM) for classify three tasks of vision, movement and pre-frontal brain activities.In addition of presenting comparisonsbetween different network modelsforall of the three views. After extensive experiments and comparisons even with state-of-the-art studies, promising accuracies of 91.67%, 89.88% and 91.67% have successfully been obtained for the XCM, YCM and ZCM, respectively.