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Research Of The Feature Extraction And Pattern Recognition Of The Effective Network Of The Patients With Depression

Posted on:2017-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:J L DaiFull Text:PDF
GTID:2334330485485008Subject:Statistics
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The human brain is the most complex systems we know about at the present time, and the separation of structure but functional integration was the most prominent feature.It is also the classical instance of complex systems we study in. Functional separation indicats that different areas of the brain or nerve nucleus has a specific function, and functional integration refers to the action of each people's behaviors is the result of different brain regions working together. Research of the brain networks increasingly plays an important part in the field of neuroscience, because if we can go up to the connection mechanism between the detection of brain areas from the system level, then we can further reveal the human inherent organization pattern. However this part of the study has been extensively applied to many brain research fields, especially in the exploration of mental illness. Over the years, with the continuous development of medical imaging technology and improevment, more and more scientists would shift our attention to using NMR techniques to reveal the hidden personality of neurobiology. With the functional magnetic resonance imaging(functional magnetic resonance imaging, fMRI), it provides us with non intervention effective techniques to the study of brain function, and the complex network of the graph analysis method provides our strong technical means to study the brain network. The main research work of this paper includes the following parts:1. The first part is the GC analysis of the structure differences based on VBM(voxel based morphometry, based on voxel morphometry),we found in some of the differences in brain structure between the depression patients of the first-episode without-drugs and healthy subjects, mainly for that MDD patients with left inferior temporal gyrus graymatter volume was significantly less than that of normal subjects, suggesting that the depression patients of the first-episode without-drugs with cognitive function damage to the inferior temporal gyrus, and perception of the outside world will be delayed.For the GC analysis of the structure differences based on VBM, we found there is a signifcant abnormal effect connection in the depression patients of the first-episode without-drugs, such as the reduction in the flow of information from the cerebellum to the fusiform in MDD patients, indicating that emotional regulation in the fusiform gyrus to the centred around the edge of the corrico cerebellar network in the MDD patients exists dysfunction.2. In the second part we used the method of frequency, and according to the structure abnormality in the second chapter MDD patients we use the eight brain regions as the seed points to calculate the effects of connection to the whole brain, finally comparing to the normal subjects. The results show that the abnormal MDD effect is related to the frequency band, and the resting state effect of MDD is mainly concentrated in the low frequency band.
Keywords/Search Tags:resting state, major depression patiens, effect connection, Grainger causality analysis
PDF Full Text Request
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