Characterization of the Regional fMRI Pattern Based on the Maximum Activation Intensity

The activity pattern in human visual cortex is studied and the common feature of volunteers is extracted based on analysis of regions of interest (ROI). By combining physiological structure and Talairach coordinates system, the same ROIs are obtained from the three-dimensional cortical model of each volunteer, these ROIs is then projected into the two-dimensional cortical model with the same topology, and the maximum activation intensity of each ROI is extracted. The common activation feature of volunteers is drawn and described via statistical analysis of ROIs. Experiment results show that the proposed method overcomes the limitation of traditional voxel-based analysis in extracting the common activation feature of volunteers.