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First-Episode Depressive And Its First-Degree Relatives Diffusion Tensor Imaging Study

Posted on:2020-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:L J KangFull Text:PDF
GTID:2404330590956261Subject:Mental illness and mental hygiene
Abstract/Summary:PDF Full Text Request
Objective:Depressive is a common mental disorder,but its etiology and pathogenesis are not clear.Diffusion tensor imaging has been used as an important component of neuroimaging to explore pathogenesis.The risk of first-degree relatives of depressive is2-3 times higher than that of the general population.Therefore,it is possible to investigate the etiology of depressive by studying the first-degree relatives diffusion tensor imaging,and further explore whether there is a correlation between its clinical features and white matter structural changes.Methods:Twenty-seven patients with first-episode untreated depressive,16 first-degree relatives with no-depressive disorder,and 28 healthy people without family history were selected for demographic data.All subjects were right-handed and diffused tensors were performed.The patient's clinical performance was evaluated from the following four aspects.The Hamilton Depression Rating Scale(HAMD)was used to assess the patient's severity of disease,the Snaith-Hamilton Pleasure Scale(SHAPS)was used to assess the patient's emotional symptoms,and the Fatigue Severity Scale(FSS)was used to assess the patient's physical symptoms.Cognitive function was assessed using Assessment of Neuropsychological Status(RBANS).The demographic data of the three groups of subjects were analyzed using SPSS23.0.The data of diffusion tensor imaging was processed based on MATLAB platform,the region of interest white matter anisotropy fraction(FA)was extracted,and the variance analysis was performed in SPSS.Apairwise comparison;the clinical performance scores and the significant white matter FA values were analyzed by peason correlation.Results:1.Three groups of demographic data showed no significant differences;2.FA differences in the three groups of subjects were mainly in the left thalamus anterior radiation,right thalamic anterior radiation,left corticospinal tract,forceps major,right inferior longitudinal fasciculus,left Superior longitudinal fasciculus(temporal part).In the above six sites,there were significant differences between depressive disorder and normal controls,first-degree relatives and normal control FA in the left corticospinal tract,forceps major and left Superior longitudinal fasciculus(temporal part),but no significant difference in the first-degree relatives and the depressive disorder group.The FA values of depressive disorder and first-degree relatives were lower than the normal controls.3.There was significant emotional symptoms,physical symptoms and cognitive impairment in depressive.The FA value of the forceps major was significantly positively correlated with the delayed memory score(r=0.43,P=0.031).The right inferior longitudinal fasciculus FA value was significantly negatively correlated with the FSS total score(r=-0.42,P=0.028).Conclusion:1.The onset of depressive disorder is related to left thalamus anterior radiation,right thalamic anterior radiation,left corticospinal tract,forceps major,right inferior longitudinal fasciculus,left superior longitudinal fasciculus(temporal part)injury;2.The damage of the left corticospinal tract,forceps major and the right inferior longitudinal fasciculus may be related to the susceptibility of depressive relatives,and is a quality indicator of the onset of depressive disorder.The damage of the left thalamus anterior radiation,right thalamic anterior radiation,right inferior longitudinal fasciculus are the status indicators of depressive disorder.3.The change of white matter fiber is closely related to the clinical symptoms of patients with depressive disorder.The forceps major is correlated with cognitive function.The right inferior longitudinal fasciculus is correlated with patient's physical symptoms.
Keywords/Search Tags:Depressive, first-degree relatives, diffuse tensor imaging of white matter, cognitive function
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