Study On Depression Brain Network Statistical Model Based On Text Mining

The brain of human is the most complex system in nature, different functionregional interaction coordination constitute a network to play a function. The humanbrain is a complex network, and it has high efficient "small world" topological attributes.Research shows that particular brain in disease process the brain area functionalconnection disorder, some brain regions have a strong correlation. Aiming at the braindisease depression, we use of text data mining tools for the brain disease associationstrength active key brain regions, using the tool we can also get the key brain regionsassociated intensity between the established depression brain weights of network model,and finally we can complete brain network model graphics expression, in order to reveala kind of brain disease key brain regions network mapping. At the same time, we alsohope that our work will be helpful to the workers who have straight forward do thebrain disease medical research.1First, starting from the complex system of the human brain, the simpledescription of some of the basic concepts of the brain network research and significance,and then study the complexity of the introduction of a complex network. Graduallysomething of a complex network is used to explain the emerging brain network concept,and finally specific to constitute significance of brain edges and nodes in the network,as well as brain network edge and node weights heavy relationship.2Subsequently, combing and simple integration from current medical researchwith more vocabulary in several brain areas, including the names of brain regions andtheir coordinates, because the back of the brain network node of the brain regions usethe nouns and coordinate in here., This article then the brain associated with theconcept of the network to a specific depression brain disease According the PubMedMedical Library recent years medical studies in many literatures reaction, thecommonality of the onset of depression is some critical brain areas consisting of theassociation map brain network more than a small-world characteristics of the differentdegrees of degradation, it is this degradation, in turn, accelerated the condition of thebrain disease. 3Start here, is the innovation of this paper lies. In this section first a briefintroduction to the concept and in recent years the development of text mining. Then, itis to say that the brain network statistics engine the CSSE use of text mining technology,as well as the processing of the meta data. Spend a lot of time to do the same literaturecollection manual retrieval and CSSE retrieval, and results were compared to estimatethe deviation. In turn the result of the calculation of the statistical model related todepression brain networks, two-dimensional and three-dimensional graphicalrepresentation, so that the "small world" network looks more intuitive.4Finally, summarize, there are many places worthy of improvement. Example,the recording of a brain area keywords are included in the basis is positive or negativecannot fully identify, as well as diagrams and pictures, resolution problems.