Font Size: a A A

Changes Of Brain Network In Primary Insomnia Patients Based On Independent Component Analysis

Posted on:2022-04-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y X ChengFull Text:PDF
GTID:2504306515472364Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Insomnia is a common sleep disorder,and half of the adults occasionally have insomnia symptoms.Primary insomnia is usually defined as having difficulty falling asleep,maintaining sleep or waking up earlier than one month without any medical,environmental or mental factors Insomnia is usually accompanied by inattention,memory loss or physical and emotional disorders,which not only reduces people’s quality of life,but also brings heavy burden to society and family.Meanwhile,insomnia may also increase the incidence of hypertension,atherosclerosis,cardiovascular and cerebrovascular diseases.In addition,insomnia may also cause other mental disorders,such as depression,anxiety and so on.Although it is very common,the current understanding of the neurobiological mechanism of insomnia is not enough.Therefore,the study of the neural mechanism of insomnia is urgent.In the past research,domestic and foreign researchers have done a lot of research on insomnia by using various methods in neuroimaging,and found that the brain structure and functional connectivity of patients with primary insomnia have changed.In this study,independent component analysis and dual regression analysis were used to study the changes of resting state brain network functional connectivity in patients with primary insomnia.In this study,25 patients with primary insomnia and 24 healthy controls matched in handedness,gender,age and years of education were included.The differences of functional connectivity between the two groups were compared.Pearson correlation analysis was used to evaluate the relationship between functional connectivity differences and clinical characteristics.Four resting state networks are obtained,which are default mode network,salience network and left and right central executive network.The results showed increased functional connectivity between the salience network and inferior frontal gyrus,middle frontal gyrus,posterior cingulate gyrus and superior parietal lobule in patients with primary insomnia.The functional connectivity between left central executive network and inferior temporal gyrus and middle temporal gyrus in patients with primary insomnia were weakened.And there was no significant difference in functional connectivity in the other two networks.In addition,correlation analysis showed that there was a significant positive correlation between the functional connectivity between the salience network and the posterior cingulate gyrus and the scores of the Pittsburgh sleep quality index.The functional connectivity between the left central executive network and the inferior temporal gyrus and Self-Rating Anxiety Scale scores were significantly positive correlated.The study found that the functional connectivity in the salience network and the left central executive network changed in primary insomnia patients,which may be related to the hyperactivity of the nervous system and the weakening of control ability.We hope that our experimental results can provide new insights for the neurophysiological mechanism of primary insomnia and provide scientific basis for the treatment and mitigation of insomnia.
Keywords/Search Tags:Primary insomnia, Independent component analysis, Resting state network, Posterior cingulate gyrus, Inferior temporal gyrus
PDF Full Text Request
Related items