Deactivation And Deactivation Network In Brain Functional Imaging

Although deactivation has been found frequently in former functional brain imaging researches, only recently has it become a focus of systematic study because of its not well understood physiological mechanism. According to the phenomenon that several brain regions, such as posterior cingulate gyrus, anterior cingulate gyrus which are related with the basic cognitive functions are always deactivate during different cognitive tasks, therefore, the deactivations could reflect the basic brain status and be of great importance for human brain function research.In this paper, the functional magnetic resonance imaging data were analyzed by using both Statistic Parameter Mapping (SPM) and Complex Network theory. A brief overview of the main work and discussion is introduced below:1. The study roundly introduced the foundation of neuroscience and primarily discussed the function brain imaging and the main calculation methods of the data from functional human brain imaging.2. Introducing the conception of deactivation and its research status in detail. An arithmetic processing experiment is analyzed and the result revealed significant deactivations in several brain regions, including the posterior cingulate, precuneus, cunesus,anterior cingulate,medial prefrontal gyrus and bilateral insula. Combining with the cognitive functions these regions involved in, we discussed their contributions in sustaining the brain activity during conscious resting state.3. Introducing the complex network into the deactivation analysis and constructing the deactivation network in the symbols' spatial orientation task. The relation between a node with the other nodes in local and the effect of the node in global were both expounded by calculating degree and betweenness. According to the location of the 10 nodes which have the largest degree and betweenness in the brain, we presume posterior cingualte gyrus is the key regions of deactivation and the resting state.