A Arithmetic Study Of Brain Functional Metabolism Based On PET Imaging Data

Neuroscience and information science are two hot issues in modern natural science research, and the neuroinformatics is a new subject which combined the two subjects. With the involvement of a rapid developmental computer vision and non-invasive medical imaging technology, people can form a systematic study on the brain function. However, because of the few sources and data amount of normal subjects PET imaging data in a resting state, so that there are a little related studies on the relationship between human cerebral metabolism and age and gender differences at home and abroad. These studies have different results and can not describe the trends of brain functional metabolism accurately so far.In this paper, we analyzed a large number of positron emission tomography data acquired under the resting state to present the effects of age and gender differences on brain. The main contributions and contents of this study are as follows:(1) Correlations between cerebral metabolism and age differences based on PET imaging data:a algorithms studyAll224subjects were divided into five groups with the interval of ten years old starting from21. The study used a statistical parametric mapping (SPM) analysis after pre-processing of all data and treat the21-30group as a control group. Other groups compared the glucose metabolism with the control group by using two-sample t-tests in turn in order to evaluated the age differences on cerebral glucose metabolism. The group of less than40years old showed no significant metabolic decrease, while the group of more than40years old showed significant metabolic decreases with aging mainly in right frontal lobe, temporal lobe, cingulate cortex, caudate, left lingual and left parietal lobe. The right frontal lobe was the most significant area of metabolic decreases. Occipital lobe, putamen and thalamus remained metabolically unchanged with advancing aging.(2) Correlations between cerebral metabolism and gender differences based on PET imaging data:a algorithms studyThe204subjects were divided into two subgroups according to the gender: females and males. We use a SPM analysis after pre-processing of all data. Two-sample t-test was used to compare the glucose metabolism between females and males. Females had higher glucose metabolism than males in occipital lobe and right supramarginal gyrus. Significant clusters where males had higher glucose metabolism than females were founded in frontal lobe, parietal lobe, temporal lobe. The differences of brain function in the resting state suggest that the differences in cognitive and behavioral processing have biological substrates.This study confirmed with previous studies to some extent and also found some inconsistencies or no mention of the phenomena. It described the variation of the human cerebral metabolism more accurately and systematically. It also helped us to understand human cognitive activity and brain mechanisms for handling and processing of information better. In the future, we are prepared to expand the brain metabolism database on the basis in order to establish the model of normal cerebral metabolism in China, and lay a solid foundation for studying the pathogenesis of pathological brain aging diseases such as Alzheimer’s and Parkinson’s psychosis in the further.