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The Topological Properties Of Brain Structural Network In Perimenopausal Insomnia Patients:A Graph Theoretical Analysis

Posted on:2020-11-17Degree:MasterType:Thesis
Country:ChinaCandidate:R BaiFull Text:PDF
GTID:2404330602454537Subject:Imaging and nuclear medicine
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[objective]Perimenopausal insomnia is one of the common clinical symptoms in perimenopausal women.The aim of this study is to construct and investigate the abnormalities of the topological properties of the brain structural connectome in perimenopausal insomnia patients based on the diffusion tensor imaging.To analyze the correlation between abnormalities of the topological properties with the Pittsburgh Sleep Index score(PSQI)and hormone level,providing imaging evidence for clinican.[Materials and Methods]1.General information of the recruits:twenty perimenopausal insomnia patients who met the inclusion and exclusion criteria were collected as case group,twenty gender-and age-matched healthy controls group.2.Scale assessment:The Pittsburgh sleep quality index(PSQI)was used to evaluate the sleep status of the subjects.The Hamilton depression scale(HAMD)and the Hamilton anxiety scale(HAMA)were used to assess the mental state of the subjects.3.MRI scanning method:Image acquisition used the USA GE Discovery 750w 3.0T superconducting magnetic resonance scanner,32-channel head phased array coil,inform the subjects to remain quiet,closed eyes,awake,and reduce head movements before start scan.MRI scans included the routine brain magnetic resonance,high-resolution 3D T1-weighted scan and diffusion tensor imaging(DTI)scan,to obtain the corresponding data of the whole brain of the subjects.4.Data processing and statistical analysis of brain network:we used atlas-based brain regions as nodes,and the value of multiplying fiber number(FN)by the mean FA along the fiber bundles connected a pair of brain regions as edges.The structure network was respectively analyzed by graph theoretic and network-based statistical analysis.Besides,Pearson partial correlation analysis was also performed to evaluated their association with the clinical variables(sleep scores,estrogen level).[Results]1.No significant difference(p>0.05)was observed at the level of global properties between perimenopausal insomnia group and health control group.The increased nodal efficiency located in the IFG operc.L/ORB sup.L/SFG dor.L/SFG dor.R/MFG.R of patients with perimenopausal insomnia(p<0.05).2.NBS analysis results:the peri-menopausal insomnia group presented a increased subnetwork components mainly in prefrontal lobe(PFC)/right nucleus and left caudate nucleus.And decreased subnetwork components in dorsolateral superior frontal gyrus and left caudate nucleus.3.Increased node efficiency in perimenopausal insomnia were not associated with PSQI scores(p>0.05).The right dorsolateral superior frontal gyrus with increased node efficiency was positively correlated with hormone level(r=0.599,p=0.03<0.05).[Conclusions]1.The structural network of perimenopausal insomnia patients were constructed homogeneously,with retaining the high efficiency in the passage of information at the global level.2.The inecreased node efficiency in perimenopausal insomnia mainly located in the default mode network and emotional circuit.They are mainly responsible for cognition,memory and emotional management.It shows that abnormalities of the brain structural connectome in perimenopausal insomnia are closely related to anxiety,depression and other emotional disorders in perimenopause syndrome.
Keywords/Search Tags:Perimenopause, Insomnia, Topology properties, Graph analysis
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