The Multimodal Research Of Human Motion Cortex In Wide-view Environment

Visual Cortex is one of the most essential parts of human brains. Visual area V5, which isalso known as visual area MT (middle temporal), is a region which is commonly consideredto play a major role in the perception of motion, the integration of local motion signals intoglobal percepts, and the guidance of some eye movements; furthermore, V6, appears torespond to visual stimuli associated with self-motion and wide-field stimulation. Therefore,researches on human motion visual cortex most focused on MT/V5area and V6area.However, according to former researches, traditional visual stimuli paradigm cannot fullyactivated MT/V5and V6regions, and these studies are most based on task-based fMRI data.Thus, multimode imaging in wide-view environment should be promising.In this study, I improved the traditional visual stimuli, acquired data from task-based fMRIin wide-view environment, resting-state fMRI and DTI environment, and analyzed datausing SPM and BrainVoyager. I analyzed the task-based data acquired with General LinearModel and explored further with Support Vector Machine to search fundamentalcharacteristics of motion areas in human cortex and to verify the feasibility of the applianceof machine learning method in brain functional research. Due to thorough formerresearches on human MT+area on structural data, I focused on V6area mainly in this study.I calculated FA value, ADC map according to the results from functional research, andmade further investigation by fiber tracking.Finally, I have modulated successfully the responses of MT/V5and V6areas to improvedstimulus paradigm, according to retinotopic mapping; I have verify the uniqueness andintegrity of V6area according fiber tracking; I have also subdivided MT/V5and V6areaswith SVM, and provided basis for introducing machine learning method into brain research.